About the Authors:
Qaisar Khan
Roles Conceptualization, Data curation, Methodology, Software, Writing – original draft
Affiliation: College of Agriculture, Guangxi University, Nanning, China
ORCID logo https://orcid.org/0000-0002-7485-272X
Ying Qin
Roles Data curation
Affiliation: College of Agriculture, Guangxi University, Nanning, China
Dao-Jun Guo
Roles Formal analysis
Affiliation: College of Agriculture, Guangxi University, Nanning, China
Xiu-Peng Zeng
Roles Formal analysis, Project administration
Affiliation: College of Agriculture, Guangxi University, Nanning, China
Jiao-Yun Chen
Roles Visualization
Affiliation: College of Agriculture, Guangxi University, Nanning, China
Yu-Yan Huang
Roles Data curation
Affiliation: College of Agriculture, Guangxi University, Nanning, China
Quang-Kiet Ta
Roles Data curation, Visualization
Affiliation: College of Agriculture, Guangxi University, Nanning, China
Li-Tao Yang
Roles Conceptualization, Writing – review & editing
Affiliation: College of Agriculture, Guangxi University, Nanning, China
Qiang Liang
Roles Formal analysis, Supervision
Affiliation: Guangxi Key Laboratory of Sugarcane Genetic Improvement, Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs, Sugarcane Research Institute of Guangxi Academy of Agricultural Sciences, Sugarcane Research Center of Chinese Academy of Agricultural Sciences, Nanning, China
Xiu-Peng Song
Roles Project administration, Resources, Validation
* E-mail: [email protected] (XPS); [email protected] (YXX); [email protected] (YRL)
Affiliation: Guangxi Key Laboratory of Sugarcane Genetic Improvement, Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs, Sugarcane Research Institute of Guangxi Academy of Agricultural Sciences, Sugarcane Research Center of Chinese Academy of Agricultural Sciences, Nanning, China
Yong-Xiu Xing
Roles Methodology, Validation, Visualization, Writing – review & editing
* E-mail: [email protected] (XPS); [email protected] (YXX); [email protected] (YRL)
Affiliation: College of Agriculture, Guangxi University, Nanning, China
ORCID logo https://orcid.org/0000-0001-7062-0342
Yang-Rui Li
Roles Data curation, Project administration, Supervision, Validation, Writing – review & editing
* E-mail: [email protected] (XPS); [email protected] (YXX); [email protected] (YRL)
Affiliations College of Agriculture, Guangxi University, Nanning, China, Guangxi Key Laboratory of Sugarcane Genetic Improvement, Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs, Sugarcane Research Institute of Guangxi Academy of Agricultural Sciences, Sugarcane Research Center of Chinese Academy of Agricultural Sciences, Nanning, China
Introduction
Sugarcane (Saccharum spp. hybrid) is an important sugar and bioenergy crop because of its capability for high sucrose content accumulation in stalks; chiefly in ripen internodes [1–3]. Sugarcane is a C4 photosynthetic plant with good competence to use the resources, and gives efficient production of products particularly sucrose [4–7]. China is one of the main sugar producers in the world while Guangxi is the largest sugarcane and sugar-producing area in China, whose sugar production accounts for more than 60% of the total in China [8]. Sugar yield is a quantitative character which depends upon cane yield, sucrose content and sugar recovery [9].
The sugarcane growth cycle passes through different phases, including germination phase, tillering phase, grand growth phase, maturity and ripening phase from planting to harvesting. Sugarcane plants are perennial, whose stalks can be several meters in length having juicy with higher concentrations of sucrose. Sugarcane root system consists of adventitious and permanent shoot root types. Stalk morphology is highly variable from one genotype to another and represents an important element for varietal characterization [10]. Sugarcane leaves, which consist of leaf blade and sheath, are numbered from top to bottom starting with the uppermost leaf showing a visible dewlap designated as leaf +1 (2). Leaf traits including the shape, size, distribution of trichomes, shape of the ligule and auricles are of taxonomic importance for varietal identification [10].
Sucrose is manufactured in the green leaves of sugarcane by the process of photosynthesis, transported through phloem and unloaded into the sink for metabolism and accumulation. Sucrose accretion in sugarcane stalks is influenced by sucrose supply, metabolism and sink strength (3). The activity of photosynthesis in the green leaves determines the quantity of sucrose to sink organs. A network of enzymes such as sucrose phosphate synthase (SPS), sucrose synthase (SuSy) and invertases manages the sucrose metabolism and storage in the internodes of sugarcane plants [11, 12]. Many other factors such as cellulose, sugar transporter, transcription factors, protein kinases, and hormones signaling also play roles in sucrose synthesis, transportation and accumulation in sugarcane stalks [13–15]. The genes allied with sucrose metabolism and source-sink signaling transduction have been well studied in plants [14, 16]. However, the mechanism of molecular regulation of sucrose storage in sugarcane is not well understood yet.
Sugarcane breeding programs have faced several challenges due to narrow genetic background, and only a few ancestral clones have been used in the hybridization schemes. Additionally, this problem has been intensified as only few well-liked sugarcane hybrids have been broadly utilized as parental lines [17–19]. For instance, over 90% of sugarcane cultivars in America could be found back to 10 hereditary clones [20]. The cultivar ROC22 has covered about 50–60% of cultivation areas in China in past 15 years, and has been the most regularly adopted parental genetic source for breeding programs [21, 22]. Hence, expanded genetic base for sugarcane cultivars would advance cane yield and decrease seriously upsetting disease eruptions because of planting varieties with diverse background in big areas. Introducing and using exclusive sugarcane clones from other countries or areas can meaningfully accelerate the attainment of sugarcane breeding goal for two important reasons, first is the top sugarcane clones, resulting from diverse breeding programs expectedly have unlike genetic backgrounds, while second is that these top sugarcane clones have high yield, high sugar and improved vital agronomic characters [23].
Genetic improvement of crops is the key element of efforts to address pressures on the worldwide food security and nutrition [24]. Recently, the somatic embryogenesis achievement through tissue culture has an excessive capacity for propagation at fast frequency [25]. It has been stated that all the redeveloped plants from the tissue culture are same as their parents. However, phenotypic discrepancies have generally been detected between regenerated plants which are associated with genetic variations in plants. These deviations might be resulted from mutations, epigenetic changes or a combination of both processes.
All the heritable variations in the nucleotide sequences or chromosomes of living organisms of a species or any other hierarchy are considered mutation. Generally, mutations maybe spontaneous due to result of errors in DNA replication which could be beneficial, harmful, or induced mutation because of exposure to radiation, chemicals, viruses, or other mutagenic agents [26]. Mutation is the final source of entire genetic vicissitudes which prepare raw material for evolution, and it is an important approach for upgrading the economic traits of crop plants [27, 28]. It has been found that the history of mutation in plants is very old, even it could be traced to 300 BC with literature of mutant crops in China [29, 30]. Few decades earlier in China, the sugarcane variety ROC22 was widely cultivated because of better quality traits, like drought resistance, higher cane yield, and sucrose content but long time cultivation declined its traits along with drought resistance [31]. The callus of cultivar ROC22 was mutagenized chemically and mutant lines were found to be suitable for upcoming drought resistance breeding [32]. Three sugarcane cultivars, NIA-0819, NIA-98 and BL4, in Pakistan were subjected to mutation through gamma radiation and the obtained mutants were with altered stomatal characteristics which positively added to yield and yield related traits in sugarcane [33]. The majority of mutations have neither negative nor positive effects on the organism in which they take place such mutations are called neutral mutations. However, some mutations have a significant positive effect on the organism in which they occur and are termed beneficial mutations. They introduce new versions of proteins that facilitate organisms to adapt changes in environment to compete the circumstances. So, beneficial mutations are essential for evolution to occur. Harmful mutations can lead to several problems particularly genetic disorders.
The objective of current research was to study the dissimilarities of a high sucrose content sugarcane mutant GXB9 on morphological, agronomical, physiological and molecular bases in comparison to low sucrose content B9 mother clone. B9 was brought from Brazil to China in October 1999, which has good characteristics like vast adaptability, good emergence rate, high tiller numbers, large number of millable canes, medium to large stalks, good defoliation and high production, however relatively lower sugar content (Wang et al. 2005). On 15th October 2013, a high sugar content clone was identified in a population of B9 and it was given name as Guixuan B9 (GXB9). After that, for several years field trials were carried out to compare the performance of GXB9 in comparison to B9 mother clone. The performance data displayed that both clones have apparently similar morphological appearance, however consistently significant difference in sugar content in cane [34]. So, it was considered that GXB9 clone has mutated, and a systematic study was planned to observe the variation in morphological, physiological, and agronomic traits of GXB9 mutant in comparison to low sucrose B9 mother clone in field under normal environmental conditions. This is the first systematic comparative study of high sucrose content GXB9 on morphological, agronomical, physiological and molecular level in comparison to low sucrose B9 mother clone. Moreover, SSR marker-based polymorphism analysis was also conducted to explore the possible genetic variation between GXB9 and B9.
Materials and methods
Plant material
In current study, a high sucrose sugarcane mutant GXB9, low sucrose mother clone B9 and GT32 variety were used as materials for experiment. These plant materials were provided by Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, 530007, China. A total of 5 years of continuous field experiments were conducted from 2016 to 2020 to investigate the sucrose content and other cane quality traits of GXB9 mutant clone in comparison to B9 mother clone. The experiments from 2016/17 to 2019/20 were conducted in Dingdang experiment base of Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences in Longan County (23° 13’ N 107° 98’ E), and the experiment in 2020/21 was conducted in the experimental field of College of Agriculture, Guangxi university in Nanning City (22° 51’ N 108° 17’ E).
At the experimental sites, soil was well prepared and 700 kg/ha compound fertilizer (N-P2O5-K2O: 22-8-12) were applied to the soil before planting the sugarcane setts. 10-meter-long furrows with row spacing 1.2 m were created and double bud setts were planted in double lines with a spacing of 10 cm between the lines in early March every time. The sugarcane buds planting density was 95634 buds/ha and the cane bud setts were treated with carbendazim fungicide for one hour before putting into furrow. After covering the buds with 9–10 cm of soil layer, the furrow soil surface was mulched with plastic film.
Observation on all growth phases
After planting, the field was regularly visited to observe the plant emergence status. All the numbers of germinating shoots throughout the germination phase were counted and general health conditions of newly emerged young plants were investigated. During tillering phase, the tiller numbers and total numbers of plants were counted. During the entire growth season, the plant health condition was closely monitored. The symptoms of mosaic, smut, red rot and pokkah boeng diseases, stem borers, ants, etc. were mainly target of observation under normal field conditions.
Observation of morphological traits
For the observation of qualitative morphological traits, twelve sugarcane plants of ten months age were randomly selected from each clone. The important morphological traits, including leaf shape, leaf color, leaf blade shape, number of green leaves, spine on the back of leaf, leaf sheath waxiness, dewlap colour, leaf sheath spines, leaf sheath color, auricle shape, hairs tufts on leaf collar, ligule shape, bud shape, bud groove, bud position, bud tip cross growth zone, bud cushion, bud tip cross growth zone, internode color, internode shape, growth rings, stalk ivory marks, root zone, waxy bands, internode alignment, bud flange, node swelling, pith, root eyes arrangement, and internode wax layer, were observed.
Investigation of agronomical traits
At maturing phase, several important agronomical traits, such as stalk height, stalk diameter, internode length, number of internodes, single stalk weight, millable stalks/ha, bud height, bud width, leaf area, leaf length, leaf width, juice content, juice gravity purity, brix, sucrose in juice, sucrose in cane, sucrose in bagasse, were determined. Non-destructive method was followed to measure the leaf area and other characteristics of leaf using CI-203 handheld laser leaf area meter (CID Bioscience, USA). The leaf dimensions were measured during the tillering, grand growth and maturity phases of plants. The brix and sucrose content in cane were tested three times in the field as well as in the laboratory at maturing and maturation phases of each crop. Every time six healthy plants were chosen randomly from each clone and subjected to target trait measurements. Field brix was measured using handheld refractometer (ATAGO-China: http://www.atago-china.com/). Brix, juice content, bagasse moisture content, bagasse sucrose content, cane sugar content, and juice sugar content were measured using Polartronic M 202 TOUCH (589 + 882 nm: SCHMIDT+HAENSCH GmbH & Co., Berlin, Germany) equipment.
Analyses of physiological traits
Various physiological traits, including gene expression of enzymes such as sucrose phosphate synthase (SPS), sucrose synthase (SuSy), cell wall invertase (CWIN) and cellulose synthase (CeS), photosynthetic parameters like net photosynthetic rate (Pn), stomatal conductance (gs), intercellular CO2 concentration (Ci), transpiration rate (Tr), SPAD (Soil plant analysis development), leaf chlorophyll content (a, b), and endogenous hormones such as indole acetic acid (IAA), gibberellic acid (GA), cytokinin (CYT) and ethylene (ETH), were determined at the different growth phases.
SPAD
Leaf relative chlorophyll SPAD readings were taken during the tillering and grand growth phases for a total of four times. The SPAD readings were recorded on total six leaves (+1) of six sugarcane plants randomly chosen from each clone every time by using chlorophyll meter SPAD-502 (Konica Minolta Co., LTD., Osaka, Japan). SPAD readings were taken on the adaxial leaf surface which was completely exposed to sun light in a sunny day between 10:00 to 14:00 h with a temperature range 25–30°C, and three readings were recorded at each leaf avoiding from the midrib.
Leaf chlorophyll content
The leaf samples for chlorophyll analysis were collected during the grand growth stage. Leaf (+1) was used as sample from six randomly selected plants of each clone and samples were prepared in triplicates. Chlorophyll a, b were assessed by dimethyl sulphoxide (DMSO) [35]. The UV-1800 Shimadzu spectrophotometer (Cole-Parmer Ltd., UK) was used for absorbance of wavelength (663, 645 nm) measurement.
Photosynthetic parameters
During the tillering and grand growth phases from mid-May to August, Pn, gs, Ci and Tr in leaf were analyzed on sunny and well shining days from 10:00 to 2:00 h. The measurements were repeated two times by using LCPro-SD (ADC BioScientific UK) portable photosynthesis system. During the photosynthesis measurement, the photosynthetically active radiation in the leaf chamber, provided by leaf chamber fluorometer (LCF) light source, was adjusted to 1600 μmol m–2 s–1, relative humidity was adjusted to near ambient level 70–80%, leaf chamber CO2 concentration was set to 380 ml L–1, the air flow rate to sample cell was fitted to 400 μmol s–1, and chamber temperature was similar to ambient air temperature according to [36].
Endogenous hormone quantification
For the comparative quantification of endogenous hormones such as IAA, GA, CYT and ETH, samples were collected at the tillering, grand growth and maturing phases respectively. Samples of top visible dewlap (TVD) leaf (leaf +1) were taken in triplicates for endogenous hormones quantification. The leaf samples were immediately shifted to liquid nitrogen and stored at -80°C for further analysis. For extraction of hormones, two grams of sugarcane leaf samples were weighed, and ground under liquid nitrogen using a pestle and mortar. The powdered samples were shifted to centrifuge tube, and 700 μL PBS buffer was added. The mixture was centrifuged at 12,000 rpm for 12 min at 4°C, and the supernatant was collected in Eppendorf tube. Measurements of entire hormones concentrations were carried out by using plant enzyme-linked immunosorbent assay (ELISA) kits (Wuhan Genemei Biotechnology Co., Ltd., China) according to the guidance of manufacturer and OD absorbance at 450 nm was measured with Multiskan Spectrum Microplate Spectrophotometer (Thermo Scientific, USA).
Genes expression analyses by using qRT-PCR
During sugar accumulating and maturing phases, the immature internodes 5, 6 and maturing internodes 13, 14, were chosen as sample from six randomly selected plants of each sugarcane clone in the middle of October, November, and December. For the preparation of samples, the selected internodes were isolated from main stalk and cleaned with wet tissue paper. Hard rinds of internodes were removed and internodes chopped into small pieces, enclosed in platinum foil, immediately dipped in liquid nitrogen, and finally stored in a -80°C freezer for further analysis.
The relative expression of selected genes coding for SPS, SuSy, CWIN and CeS enzymes in the immature and maturing internodes were analyzed according to [37].
Total RNA was extracted from the samples by using TRIzol® Reagent (Plant RNA purification reagent for plant tissue) according the manufacturer’s directions (Invitrogen, Carlsbard, CA, USA). First strand cDNA was created from 1 μg of extracted RNA using First Strand cDNA Synthesis Kit (Vazyme Biotech Co., Ltd., Nanjing, China) following the guidance of manufacturer. The qRT-PCR reaction was performed in a volume of 20 μL including 2 μL of cDNA, 10 μL of 2 × ChamQ Universal SYBR qPCR Master Mix (Vazyme Biotech Co., Ltd., Nanjing, China), 7.2 μL of sterile water, 0.4 μL of primer mix (10 μm each of forward and reverse primers). The designed primers for different genes amplification in qRT-PCR are listed in Table 1. Amplification procedure was as follows: 1 cycle of 30 s at 95°C, followed by 40 cycles of 5 s at 95°C and 15 s at 60°C, 1 cycle of 15 s at 95°C, 1 min at 60°C, 15 s at 95°C. The glyceraldehyde 3-phosphate dehydrogenase (GAPDH) gene was used as the internal control for normalization of gene expression level. Three replications were set for every sample. The LightCycler® 480 (Roche) software version 1.5.1 was used for data analysis, and relative fold change of the targeted genes was calculated by using 2-ΔΔCt algorithm [38].
[Figure omitted. See PDF.]
Table 1. Primers sequences used for qRT-PCR amplification.
https://doi.org/10.1371/journal.pone.0264990.t001
Simple sequence repeats (SSRs) markers analysis
Leaf samples collection.
Young leaf tissues were collected from six individual plants of each sugarcane clone at grand growth phases, rinsed with 80% ethanol, and stored at -80 ºC prior to DNA extraction.
DNA extraction and purification by SDS method.
The SDS method (Xia et al., 2019) was used for DNA extraction with some modifications. A total of 2 g sugarcane leaf samples were ground to powder with 0.05 g PVP in liquid nitrogen by mortar and pestle. The powder was transferred into the liquid nitrogen cold microcentrifuge tubes (2 mL). Then 1.3 mL of SDS extraction buffer (pre-heated in 65°C) was added into the microcentrifuge tubes and mixed gently. The microcentrifuge tubes along with DNA and buffer were heated in water bath at 65°C for 60 min. Next the microcentrifuge tubes were taken out from water bath and 300 μL of 5M KAc were added, mixed gently, and put in ice bath for 15 min. Then the microcentrifuge tubes were centrifuged at 12,000 rpm, 4°C for 10 min, and the supernatant was transferred into a clean microcentrifuge tube (2 mL). Then equal volume of phenol-chloroform-isoamyl alcohol (25-24-1) was added to the homogenate and kept in ventilation hood for 1–2 min. After this the microcentrifuge tubes were centrifuged at 12,000 rpm, 4°C for 7 min to separate the liquid layers. The supernatant or upper phase was transferred to a clean microcentrifuge tube (1.5 mL), and repeated, then equal volume of phenol-chloroform-isoamyl alcohol (25-24-1) was added into the homogenate and kept in ventilation hood for 1–2 min. After this the microcentrifuge tubes were centrifuged at 12,000 rpm, 4°C for 7 min to separate the liquid layers and clear supernatant was obtained. Then the upper aqueous DNA containing phase was transferred to a fresh microcentrifuge tube (1.5 mL), 2 μL RNase was added, mixed well by gentle inverse mixing and incubated at 37°C for 30 min. Next equal volume of chloroform was added, vortexed for 1 min, and centrifuged at 12,000 rpm, 4°C for 7 min. The supernatant was transferred to clean microcentrifuge tubes (1.5 mL), equal volume of 80% ethanol (pre-cold at -20°C) and 1/10 vol. of 3 M sodium acetate (pH5.2) were added, mixed well and stored at -20ºC for 1 h. After this the tubes were centrifuged in 10,000 rpm, at 4°C for 10 min and the supernatant was discarded. 1 mL of 70% ethanol was added to wash the DNA and repeated two times. Then the DNA pellet was allowed to air dry for 12 min under clean bench until the ethanol evaporated out (not completely dried). 50 μL ddH2O were added to dissolve the DNA pellet and 1 μL of extracted DNA was taken to measure the OD at 260 nm and 280 nm by using Implen Nano Photometer® P- Class (P300) for DNA amount determination. Finally, the DNA was stored at -20°C for PCR amplification.
DNA electrophoresis quantification.
For electrophoresis, 2% agarose gel was prepared in 1× TAE buffer, and 4 μL DNA products together with loading dye were filled in the gel wells. The TAE buffer (1×) was used as running buffer in gel tank for 40 min electrophoresis at 120 V. The bands of extracted DNA quality were checked by using Gel Documentation System (Bio-Rad, USA).
PCR amplification.
The PCR amplification was carried out in the TF professional basic thermocycler (Biometra, Germany) by using TSINGKE Biological Technology (www.tsingke.net) PCR primers (Table 2). The PCR mixture ingredients were 2 × TSINGKE (China) master mixes (blue), 2× (10 μM) forward, reverse primers, template DNA (~10 ng/μL) and ddH2O water. The PCR reaction was performed in a total volume of 20 μL, comprising of 10 μL master, mix, 1 μL each primer, 1 μL template DNA, and 7 μL ddH2O water. For 35 cycles of gradient PCR, temperature and time conditions were set as initial lid temperature 94°C (5 min), melting temperature 94ºC (30 s), annealing temperature 56–62ºC (30 s), extension temperature 72 ºC (60 s), and final holding temperature 72ºC (5 min).
[Figure omitted. See PDF.]
Table 2. Primers sequences for PCR in SSR analysis.
https://doi.org/10.1371/journal.pone.0264990.t002
Polyacrylamide gel electrophoresis detection (DNA-PAGE).
The PCR amplification product was detected by PAGE separation method in Bio-Rad apparatus.
For preparation of 12% PAGE gel the volume of ingredients used were (29:1) 30% acrylamide (4.8 mL), ddH2O (4.8 mL), 5× TBE (2.4 mL), 10% APS (200 μL), and TEMED (10 μL). The gel was prepared in the falcon tube and TEMED was added at the last, because it immediately starts to react with APS and catalyzes the polymerization of acrylamide, so as a consequence the following mixing and casting steps have to be done as fast as possible.
The prepared gel solution was poured in the plates assembled with spacers and the comb was inserted immediately ensuring no air bubbles were trapped in the gel or near the wells. The gel was put for 2 h to set at room temperature. After the gel was ready, the glass plates were adjusted in the buffer tank, which was filled with 1× TBE running buffer up to the required level and the comb was removed. By using micropipette, 4 μL amplified DNA with 2 μL loading dye was filled in the gel well, and the electrodes were connected to a power pack, turning on the power to begin the electrophoresis for 3 h at 120 V.
After completion of the electrophoresis, the glass plates were taken out from the buffer tank, and both sides of the glass plate were rinsed with tap water. The gel was peeled off, and washed twice with double distilled water, then immersed in 0.1% AgNO3 solution, and shaken for 10 min. Again, it was rinsed twice with double distilled water for 12 s each time, and then submerged in 1.2% NaOH + 0.4% formaldehyde solution for development. Experimental results were analyzed in a gel documentation system (Bio-Rad, USA).
Statistical analysis of data.
Statistical analyses of variance in expression of traits were done to know the significant difference of morphological, agronomical and physiological characteristics between the genotypes. Least significant difference (LSD) test at p < 0.05, < 0.01 was applied to find the differences among the means by using Statistix 8.1 software. Bar chart, stacked plot and line graph analyses were performed in Microsoft Excel 2016.
Results
Morphological and agronomical traits
Performance at germination stage.
Throughout the regular observation at germination stage, it was noticed that the first two buds of B9 sprouted 10 days after planting, while the first 3 buds of GXB9 sprouted 12 days after planting. The emergence rate was higher in B9 than GXB9 (Table 3). In general appearance the seedlings were looking better in B9 than GXB9. At the last of germination stage, it was noticed that there were some heart-leaf withered plants, which were caused by borer damage, and the situation was severer in GXB9 than B9 (Fig 1).
[Figure omitted. See PDF.]
Fig 1. Heart-leaf withered plants occurred in B9 (a, b, c) and GXB9 (d, e, f) at late germination stage.
https://doi.org/10.1371/journal.pone.0264990.g001
[Figure omitted. See PDF.]
Table 3. Comparison of agro-morphological traits between GXB9 and B9.
https://doi.org/10.1371/journal.pone.0264990.t003
Performance at tillering stage.
At tillering stage, the plants growth status of B9 appeared better in than GXB9 (Fig 2), and B9 showed significantly higher plant height, stem diameter and leaf area than GXB9 (Table 4). The tillering rate was also higher in B9 than GXB9 (Table 3).
[Figure omitted. See PDF.]
Fig 2. Plant growth status of GXB9 and B9 at early and later tillering stages.
https://doi.org/10.1371/journal.pone.0264990.g002
[Figure omitted. See PDF.]
Table 4. Plant height, stem diameter and leaf area in GXB9 and B9.
https://doi.org/10.1371/journal.pone.0264990.t004
Performance at grand growth stage.
At grand growth stage, both the sugarcane clones showed aggressive growth (Fig 3)., Plant height, stem diameter and leaf area were significantly higher in B9 than GXB9 at grand growth stage (Table 4).
[Figure omitted. See PDF.]
Fig 3. Plant growth status in GXB9 and B9 during grand growth stage.
https://doi.org/10.1371/journal.pone.0264990.g003
Performance at maturity stage.
In general, the appearance of whole stalk looked similar between GXB9 and B9 (Fig 4). However, B9 still showed higher average number of green leaves per plant, leaf length and leaf width (Table 3), and significantly higher plant height and leaf area than GXB9 (Table 4)
[Figure omitted. See PDF.]
Fig 4. General view of the stalks in GXB9 and B9 at mature stage.
https://doi.org/10.1371/journal.pone.0264990.g004
Leaf morphological traits.
The obtained data showed that B9 has significantly greater leaf length and leaf width than GXB9 at mature stage (Fig 5A, Table 3). The leaf dewlap color was dark chocolate on exterior side and light green on interior side in GXB9, while it was green in outside color but not visible on the interior side of leaf in B9 (Fig 5B). The auricle length was short in B9, but long and tapering in GXB9. GXB9 had more concentrated and erecter hair tufts on the collar of leaf compared to B9. The inverted deltoid shape dewlap on the inner side of leaf in GXB9 was clearly visible but absent in B9 (Fig 5C). The leaf sheath of GXB9 showed comparatively more wax, milky white in color, and thicker spines compared to B9 which was green in color with less spines (Fig 5D).
[Figure omitted. See PDF.]
Fig 5. Leaf structures in GXB9 and B9.
A, leaf length and width; B, ligule color; C, leaf auricle, collar hairs and dewlap; D, leaf sheath wax, spines and color.
https://doi.org/10.1371/journal.pone.0264990.g005
Internode length.
The measurement and comparison of internode length between GXB9 and B9 at mature stage displayed that mean length of internode was comparatively higher in B9 than GXB9 (Table 4). All the internodes were cylindrical in shape, but GXB9 mutant clone showed more zigzag alignment however less internode length than B9 (Figs 4 and 6A). Growth cracks were present in maturing and ripened internodes of B9 (Fig 6B). However, no cracks were found in the internode of GXB9. The longitudinal dissection of internodes at mature stage showed visible spongy pith lines in GXB9 mutant compared to B9 (Fig 6C). The internodes exposed to sunlight showed different colors between GXB9 and B9 throughout the course of growth. The internodes of GXB9 displayed a light green or greenish color while wine red or purple color was observed in the internodes of B9 mother clone (Fig 6D).
[Figure omitted. See PDF.]
Fig 6. Internode characteristics in GXB9 and B9.
A, internode length; B, growth crack; C, internal view of internode; D, internode color.
https://doi.org/10.1371/journal.pone.0264990.g006
Bud characteristics.
The observation of buds showed visible variation between GXB9 and B9. In GXB9, the bud position was above the leaf scar, and there was obvious gap between the bud position and leaf scar, while in B9, the bud position was on the leaf scar and the tip did not cross the growth ring. The bud size in GXB9 was bigger and the tip crosses the growth ring, and the bud was ovate to triangular pointed in shape with deep and long eye furrow or bud groove, while the bud shape was round in B9 projected in space with no or very small bud groove. The bud dimensions like height and width recorded were higher in GXB9 than B9 (Fig 7, Table 3).
[Figure omitted. See PDF.]
Fig 7. Comparison of bud characteristics between GXB9 and B9 at mature stage.
https://doi.org/10.1371/journal.pone.0264990.g007
Physiological parameters.
SPAD. The leaf SPAD readings at the tillering stage were higher than that at grand growth stage in both varieties. There was no significant difference between GXB9 and B9 at tillering stage, however it was significantly higher in B9 than GXB9 at grand growth stage (Fig 8).
[Figure omitted. See PDF.]
Fig 8. SPAD in GXB9 and B9.
Values labeled with the same letters above columns are not significantly different at p ≤ 0.05.
https://doi.org/10.1371/journal.pone.0264990.g008
Chlorophyll content and photosynthetic parameters. Results showed the contents of chlorophyll a and b in leaves were higher in GXB9 than B9 (Table 5). For photosynthetic parameters including Pn, gs, Ci and Tr, GXB9 showed significantly higher value than B9 except for Ci (Table 5).
[Figure omitted. See PDF.]
Table 5. Summary of photosynthetic components and chlorophyll evaluation.
https://doi.org/10.1371/journal.pone.0264990.t005
Endogenous hormones. The endogenous hormones quantification at tillering, grand growth and maturity stages presented variation between GXB9 and B9. The concentration of endogenous hormones ETH and IAA showed no significant variation between the two genotypes at all the growth stages (Fig 9A and 9B). The concentration of GA was recorded with no significant difference between the two clones at tillering stage and maturity stage, however, it was significantly higher at grand growth stage in GXB9 than B9 (Fig 9C). The cytokinin (CYT) quantity was significantly higher in B9 than GXB9 at tillering stage, but not significantly different at later stages (Fig 9D).
[Figure omitted. See PDF.]
Fig 9. Endogenous phytohormone concentrations in GXB9 and B9 at different growth stages (A) Ethylene (ETH), (B) Indole acetic acid (IAA), (C) Gibberellic acid (GA), (D) Cytokinin (CYT).
Different small letters above the column indicate significant difference at p ≤ 0.05.
https://doi.org/10.1371/journal.pone.0264990.g009
Relative expression of selected genes analyzed with qRT- PCR. The relative expressions of selected genes in the maturing and immature internodes were analyzed at maturity stage. The results showed that genes encoding enzymes such as SPS (SPS5), SuSy, CWIN and CeS were expressed in the internodal tissues of both sugarcane clones. However, all these genes were upregulated in GXB9 while downregulated in B9 (Table 6). The upregulated genes presented variation in fold change (FC) between the immature and maturing internodes of GXB9 (Table 7). The expression level of SPS5 was significantly higher in the maturing internodes than the immature internodes, while those of SuSy, CWIN and CeS presented significantly higher relative expression in the immature internodes than the maturing internodes.
[Figure omitted. See PDF.]
Table 6. Relative gene regulation in GXB9 mutant and B9 mother genotype.
https://doi.org/10.1371/journal.pone.0264990.t006
[Figure omitted. See PDF.]
Table 7. Genes relative expression in immature and mature internodes of GXB9.
https://doi.org/10.1371/journal.pone.0264990.t007
Cane yield and its components. The theoretical cane yield and its components such as single stalk weight and millable stalks per hectare were investigated. The results (Table 8) showed that the single stalk weight was significantly lower in GXB9 mutant than B9 mother clone, but the millable stalks per hectare was higher in GXB9 than B9. The theoretical cane yield was significantly higher in B9 than GXB9.
[Figure omitted. See PDF.]
Table 8. Theoretical cane yield and its components in GXB9 and B9.
https://doi.org/10.1371/journal.pone.0264990.t008
Accordantly, GXB9 showed better cane juice quality than B9 as it had significantly higher juice rate, juice gravity purity, juice brix, and juice sucrose content compared to B9 (Table 9).
[Figure omitted. See PDF.]
Table 9. Cane juice quality traits in GXB9 and B9.
https://doi.org/10.1371/journal.pone.0264990.t009
Diseases and pest observation. During the crop growth, occurrences of different diseases and pests attack in both clones were observed. It seems that smut occurred more in GXB9 than B9, but the incidence was at low level in both genotypes (Fig 10). The pokkah boeng disease symptom was observed only in B9 at low level at maturity stage (Fig 10). Besides borer attack, it was also found that the stalk of GXB9 was seriously attacked by white ants at the sugar accumulation and maturing stage (Fig 10), so high attention should be paid to control white ant for this genotype.
[Figure omitted. See PDF.]
Fig 10. Occurrences of some diseases and pests attack in sugarcane plants of GXB9 and B9.
https://doi.org/10.1371/journal.pone.0264990.g010
SSR analysis
DNA extraction.
The DNA extracted by SDS method was detected at 260 nm and 280 nm by Implen Nano Photometer® P- Class (P 300). The DNA quality was also checked by electrophoresis with 2% agarose gel in 1× TAE buffer (Fig 11). The results showed that the quality of extracted DNA was good enough for further analysis.
[Figure omitted. See PDF.]
Fig 11. Results of genomic DNA detection with gel electrophoresis.
https://doi.org/10.1371/journal.pone.0264990.g011
Polyacrylamide gel electrophoresis detection by PAGE analysis.
The results of PAGE analysis (Fig 12) showed that both plant and ratoon canes of GXB9 (GXB9 and GXB9-R) had the same SSR marker band profile, and so did those of B9 (B9 and B9-R), but the profiles of GXB9 had different bands from those of B9 including B9-R, and GT32. The SSR marker band profile of GT32 was also different from those of B9, reflecting that GXB9, B9 and GT32 are three different sugarcane genotypes.
[Figure omitted. See PDF.]
Fig 12. SSR band profiles for three different sugarcane clones analyzed by PAGE.
From left to right, every five lanes corresponded to one primer and five templates. The template sequences were GXB9 plant cane (GXB9), B9 plant cane (B9), GT32 plant cane (GT32), GXB9 ratoon cane (GXB9-R), B9 ratoon cane (B9-R) while the primers were SCB181, EST2-20, SCB279, SMC1604, SMC336BS, respectively. M, molecular marker.
https://doi.org/10.1371/journal.pone.0264990.g012
Discussion
Sugarcane is the most important crop globally for sugar and bio-ethanol production. Agronomical, morphological and physiological traits of sugarcane are very significant markers for identification of a crop genotype and new sources of variability. Growth, yield and yield components are important traits to evaluate cultivars of sugarcane. Mutagenesis is a process through which the genetic information of an individual is changed in a long-lasting manner, resulting in a mutation. Natural mutagenesis can produce a new organism that may be beneficial, harmful, or has no effects on other organisms. Spontaneous mutations are because of errors in natural biological practices, while induced mutations are because of agents in the environment that originate changes in DNA structure [38]. However, mutation brings changes in the traits of a genotype within a population [39]. Spontaneously occurred mutations furnish raw materials for natural selection (NS) and evolution in all organisms [40].
The focus of present exploration was to investigate a high sucrose content sugarcane mutant GXB9, on morphological, agronomical, physiological and molecular levels in comparison to its low sucrose content sugarcane mother clone B9 to find the variation in qualitative and quantitative traits, as well as expression of genes associated with sucrose metabolism in GXB9.
The general common observations recorded for both genotypes during all the growth phrases were medium germination rate, erect plant and resistant to wind pressure, green leaves with semi dropping projection and easy to fall off, light green (covered) cylindrical internodes with zigzag alignment to some extent. About forty-two qualitative and quantitative characteristics including morphological, agronomical, physiological and molecular traits were measured and analyzed in this study, among which most have shown significant variation in GXB9 in comparison with B9.
It was found that GXB9 had significantly lower plant height, stalk diameter, leaf area, leaf length and leaf width than B9. It is thought that these variation in the traits of GXB9 are due to mutation, and previously it has been reported that spontaneous mutation causes morphological variation in sugarcane [41].
Based on the results of the present study, GXB9 has longer auricles with tapering tip, thick hairs tuft on the leaf collar, a clearly visible light green anterior dewlap with dark chocolate color at posterior, and slightly yellowish midrib in contrast to B9 which has shorter auricle, less hairs on collar, no visible anterior dewlap mark but visible posterior dewlap with light green color and whitish midrib. The leaf sheath of GXB9 is milky whitish in color with thick waxy powder and has very concentrated spines in comparison to B9 whose leaf sheath is green in color, very sparse wax powder and smaller number of spines. These variations in GXB9 in comparison to B9 under the same environmental conditions indicate that mutation has occurred in GXB9. It has been described recently that sugarcane varieties having genetic variability showed variation in morphological traits [42–44].
Variations in size, shape and other characteristics of the bud provide means to distinguish varieties. The results of current study indicated that GXB9 has difference in bud shape, size, position, cushion, extension, and bud groove in contrast to B9. The bud of GXB9 has bigger size, ovate to triangular in shape, with tip that crosses the growth ring, obvious gap between bud position and leaf scar, deep bud groove in contrast to B9, in which shape of bud is round and tip projecting in space, bud present at the leaf scar and smaller in size. These variations again support the perception of mutation in GXB9 clone, because any kind of mutation causes variation in traits among the clones of a population [45–47].
GXB9 has comparatively shorter length of internodes but very visible internal spongy pith lines. The pith decreases yield but causes increase in sucrose content of sugarcane [48]. The stalks or internodes of both varieties exposed continuously to sun light during the course of growth displayed difference in color. The internodes in GXB9 retained light green color, while those in B9 showed wine red color. Further, growth cracks or ivory marks were only observed in the internodes of B9.
Leaf area determines the amount of incident PAR intercepted by the crop canopy and ultimately increase dry matter production and the transformation of solar energy into chemical energy by photosynthesis which is directly related to yield [49, 50]. Leaf area is an important trait associated with growth rate and yield of plants. So, improved photosynthetic rate combined with large leaf area maybe the way forward to increasing photosynthesis and for future efficiency of crops [51]. In this study GXB9 showed less leaf area than B9, which may be contributing to more light receiving, increased photosynthesis and enhanced biomass production in B9 [52].
Leaf chlorophyll concentration is an important parameter that is commonly measured as an indicator of chloroplast development, photosynthetic capability, leaf nitrogen level or general plant health. Measurements with the SPAD-502 meter, calculate relative SPAD values which are proportional to the amount of chlorophyll existing in leaf [53]. Chlorophyll content is almost proportional to plant N content. Chlorophyll is a green-reflective substance considered as indicator of photosynthetic capacity, productivity, and stress levels [54]. In this study, SPAD readings in the leaves of GXB9 and B9 showed no significant difference at tillering stage, however, GXB9 showed significantly higher SPAD readings than B9 at grand growth stage. Moreover, Chlorophyll a, b concentrations did not show significant variation between GXB9 and B9, which indicated that both genotypes have similar chlorophyll content.
Photosynthesis is the foundation of cane sugar yield formation in sugarcane. It is known that around 90–95% of crop production is obtained from assimilated carbon. So, enhancement in crop photosynthetic ability is one of the most significant targets in genetic studies and crop breeding [55]. Pn denotes the value of plant photosynthesis, and measurement of Pn is of practical importance in defining the level of carbon fixation and endorsing the plant growth and development [56]. Pn is a highly significant index in assessing CO2 emission reduction. An accurate prophecy of Pn could be a convincing indication for analyzing and estimating carbon sequestration. The increase in Pn enhances cane sugar yield [57], and sucrose production is importantly correlated with Pn of leaf [58]. The results in current study indicated that GXB9 has significantly higher Pn than B9, which may be contributing to higher sucrose content in GXB9 and this view has also supported by literature [59–61].
Different kinds of phytohormones play their roles in various physiological activities of plant and five plant hormones, namely auxin, gibberellins, cytokinin, abscisic acid and ethylene are very important [62]. Cytokinin comprises a family of signaling molecules essential for regulating the growth and development of plants, acting both locally and at a distance [63]. Ethylene is considered a ripening hormone in plants which backs to increase the storage of sucrose in sugarcane [64]. GA3 is a scientifically well-known hormone [65, 66]. Diverse isoforms of GA have important roles in growth and development of plants chiefly leaf morphogenesis, floral development and fruit ripening [67]. The function of auxin has been widely reported in sugarcane and it plays a role in plant growth and development [68]. In the current study it was found that cytokinin quantification was significantly higher at tillering stage in B9 than GXB9, while gibberellin was recorded significantly higher at grand growth stage in GXB9 than B9. These results indicated that GXB9 and B9 have significant differences in some phytohormones at different growth stages.
Sugar production in sugarcane depends on cane yield and sucrose content in cane. Analysis of cane yield and quality traits in this study discovered that GXB9 had significantly lower single stalk weight, but significantly higher number of millable stalks per hectare than B9 mother clone, finally, B9 had significantly higher theoretical cane yield than GXB9. Sucrose content in cane is highly correlated with brix. The greater the value of brix, the higher is the sucrose content in cane. On the pitch of sugarcane, the term Commercial Cane Sugar (CCS), or sugar quality index, defines the maximum percentage of sugar from fresh sugarcane [69]. In this study, GXB9 had significantly higher juice rate, juice gravity purity, brix, sucrose in juice, and sucrose in cane than B9. These results strongly advocate the argument that variations in the traits of GXB9 in comparison to B9 are due to mutation. Previous literature reported that genetic manipulation, either induced or spontaneous beneficial mutation has contributed to agronomic traits of sugarcane [70–74]. GXB9 and B9 together should be a couple of good materials for studying the molecular mechanism of sugar accumulation in sugarcane as they have similar genetic background but significant difference in cane quality traits especially sucrose content in cane.
SPS is a noteworthy enzyme which has active influence to manufacture sucrose in diverse species of plants [75, 76]. In addition to sucrose synthesis, SPS is also linked to many valuable agronomic characteristics mainly plant height and improved yield [77, 78]. SuSy is actively functional in immature portions of sugarcane stalk [79, 80], and is negatively correlated with sucrose accumulation [81]. CWIN is the important enzyme in sucrose metabolism which catalyzes the irreversible hydrolysis of sucrose into hexoses. CeS fabricates polysaccharides named cellulose which is a chief constituent of plant cell wall. In the present study, the relative expressions of genes coding for SPS, SuSy, CWIN and CeS enzymes in qRT-PCR analysis were highly upregulated in the internodes of GXB9. CeS, SuSy and CWIN showed higher expression levels in the immature internodes than the maturing internodes in GXB9, which might promote the sugar availability for growth and development in the immature internodes of the high sucrose content mutant. These results are consistent with the reports of [82–84]. In the present study, higher expression of SPS is linked with higher quantity of sucrose in the mature internodes while lower level of SPS expression is connected with lower sucrose in the immature internodes, which is in agreement with the results reported by [85], but inconsistent to the results observed by [86, 87] who reported immature internodes have higher SPS activity than mature internodes.
SSR markers have been extensively used to explore the genetic diversity and population structure [21, 88], clone identity [89], genetic map [90], and genetic association [91] in sugarcane. Further, SSR markers are also applied to confirm the offspring in F1 population of sugarcane by breeders to identify true offspring and thus help to advance the sugarcane crossing programs [92]. The result obtained from the SSR marker analysis in the present study revealed the genetic variations among the sugarcane genotypes GXB9, B9 and GT32, which proved mutation in GXB9 from B9.
Conclusion
In summary, the results of morphological, agronomic, physiological and molecular analyses confirmed the variations of GXB9 mutant from its B9 mother clone. In this study, morphological, agronomical, physiological and molecular characterization of GXB9 in comparison to B9 showed meaningful and significant variations which advocates to declare GXB9 as a mutant clone of B9. Although both clones have similar appearance but there were numerous significant variations in morphological, agronomical, physiological and molecular level, and the yield related traits such as net photosynthetic rate, brix, and sucrose content in cane were significantly higher in GXB9 than B9, reflecting GXB9 is a high sugar mutant generated from B9, a low sugar mother clone. GXB9 and B9 have similar genetic background but different sucrose content in cane so both together would be excellent materials to study the molecular mechanism of sugar accumulation in sugarcane. Also, the current finding could be an important reference for future sugarcane breeding, particularly in sucrose content improvement.
Supporting information
S1 Data.
https://doi.org/10.1371/journal.pone.0264990.s001
(XLSX)
S1 Raw image.
https://doi.org/10.1371/journal.pone.0264990.s002
(JPG)
S2 Raw image.
https://doi.org/10.1371/journal.pone.0264990.s003
(JPG)
Acknowledgments
We thank the Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, China for providing sugarcane clones and variety.
Citation: Khan Q, Qin Y, Guo D-J, Zeng X-P, Chen J-Y, Huang Y-Y, et al. (2022) Morphological, agronomical, physiological and molecular characterization of a high sugar mutant of sugarcane in comparison to mother variety. PLoS ONE 17(3): e0264990. https://doi.org/10.1371/journal.pone.0264990
1. Bonnett GD, Henry RJ. Saccharum. Wild crop relatives: Genomic and breeding resources: Springer; 2011. p. 165–77.
2. Cheavegatti-Gianotto A, de Abreu HMC, Arruda P, Bespalhok Filho JC, Burnquist WL, Creste S, et al. Sugarcane (Saccharum X officinarum): a reference study for the regulation of genetically modified cultivars in Brazil. Tropical plant biology. 2011;4(1):62–89. pmid:21614128
3. Moore PH. Temporal and spatial regulation of sucrose accumulation in the sugarcane stem. Functional Plant Biology. 1995;22(4):661–79.
4. Long SP, ZHU XG, Naidu SL, Ort DR. Can improvement in photosynthesis increase crop yields? Plant, cell & environment. 2006;29(3):315–30. pmid:17080588
5. Still CJ, Berry JA, Collatz GJ, DeFries RS. Global distribution of C3 and C4 vegetation: carbon cycle implications. Global biogeochemical cycles. 2003;17(1):6-1–6-14.
6. Tao Y, George-Jaeggli B, Bouteillé-Pallas M, Tai S, Cruickshank A, Jordan D, et al. Genetic diversity of C4 photosynthesis pathway genes in Sorghum bicolor (L.). Genes. 2020;11(7):806.
7. von Caemmerer S, Furbank RT. Strategies for improving C4 photosynthesis. Current Opinion in Plant Biology. 2016;31:125–34. pmid:27127850
8. Li Y-R, Yang L-T. Sugarcane agriculture and sugar industry in China. Sugar Tech. 2015;17(1):1–8.
9. Shahzad S, Khan FA, Iqbal MZ, Khaliq I, Ahmed N. Characterization of local and exotic sugarcane genotypes on the basis of morphological and quality related attributes. Pakistan Journal of Agricultural Sciences. 2016;53(1).
10. Martin JP, Abbott EV, Hughes CG. Sugar-cane diseases of the world. Vol. 1. Sugar-cane diseases of the world Vol 1. 1961.
11. McCormick A, Cramer M, Watt D. Sink strength regulates photosynthesis in sugarcane. New Phytologist. 2006;171(4):759–70. pmid:16918547
12. Osorio S, Ruan Y-L, Fernie AR. An update on source-to-sink carbon partitioning in tomato. Frontiers in plant science. 2014;5:516. pmid:25339963
13. Ma S, Li Y, Li X, Sui X, Zhang Z. Phloem unloading strategies and mechanisms in crop fruits. Journal of Plant Growth Regulation. 2019;38(2):494–500.
14. Ruan Y-L. Sucrose metabolism: gateway to diverse carbon use and sugar signaling. Annual review of plant biology. 2014;65:33–67. pmid:24579990
15. Stein O, Granot D. An overview of sucrose synthases in plants. Frontiers in plant science. 2019;10:95. pmid:30800137
16. Yu S-M, Lo S-F, Ho T-HD. Source–sink communication: regulated by hormone, nutrient, and stress cross-signaling. Trends in plant science. 2015;20(12):844–57. pmid:26603980
17. Acevedo A, Tejedor MT, Erazzu LE, Cabada S, Sopena R. Pedigree comparison highlights genetic similarities and potential industrial values of sugarcane cultivars. Euphytica. 2017;213(6):121.
18. Deren C. Genetic base of US mainland sugarcane. Crop Science. 1995;35(4):1195–9.
19. Lima M, Garcia A, Oliveira K, Matsuoka S, Arizono H, de Souza C Jr, et al. Analysis of genetic similarity detected by AFLP and coefficient of parentage among genotypes of sugar cane (Saccharum spp.). Theoretical and Applied Genetics. 2002;104(1):30–8. pmid:12579425
20. Todd J, Glaz B, Burner D, Kimbeng C. Historical use of cultivars as parents in Florida and Louisiana sugarcane breeding programs. International scholarly research notices. 2015;2015. pmid:27347510
21. Liu H, Yang X, You Q, Song J, Wang L, Zhang J, et al. Pedigree, marker recruitment, and genetic diversity of modern sugarcane cultivars in China and the United States. Euphytica. 2018;214(3):1–17.
22. You Q, Xu L, Zheng Y, Que Y. Genetic diversity analysis of sugarcane parents in Chinese breeding programmes using gSSR markers. The Scientific World Journal. 2013;2013. pmid:23990759
23. Zan F, Zhang Y, Wu Z, Zhao J, Wu C, Zhao Y, et al. Genetic analysis of agronomic traits in elite sugarcane (Saccharum spp.) germplasm. Plos one. 2020;15(6):e0233752. pmid:32526769
24. Ronald P. Plant genetics, sustainable agriculture and global food security. Genetics. 2011;188(1):11–20. pmid:21546547
25. Dewanti P, Widuri LI, Alfian FN, Addy HS, Okviandari P, Sugiharto B. Rapid propagation of virus-free sugarcane (Saccharum officinarum) by somatic embryogenesis. Agriculture and Agricultural Science Procedia. 2016;9:456–61.
26. Cummings M. Human heredity: principles and issues: Cengage learning; 2015.
27. Jain SM, editor In vitro mutagenesis in banana (Musa spp.) improvement. IV International Symposium on Banana: International Conference on Banana and Plantain in Africa: Harnessing International 879; 2008.
28. Mba C. Induced mutations unleash the potentials of plant genetic resources for food and agriculture. Agronomy. 2013;3(1):200–31.
29. Shu Q-Y, Forster BP, Nakagawa H, Nakagawa H. Plant mutation breeding and biotechnology: Cabi; 2012.
30. van Harten AM. Mutation breeding: theory and practical applications: Cambridge University Press; 1998.
31. Chang-lian W. Analysis and countermeasures of the degradation status of sugarcane variety ROC22 in Guangxi [J]. Journal of Southern Agriculture. 2012;12.
32. Khalil F, Naiyan X, Tayyab M, Pinghua C. Screening of EMS-induced drought-tolerant sugarcane mutants employing physiological, molecular and enzymatic approaches. Agronomy. 2018;8(10):226.
33. Yasmeen S, Khan MT, Khan IA. Revisiting the physical mutagenesis for sugarcane improvement: a stomatal prospective. Scientific reports. 2020;10(1):1–14. pmid:31913322
34. Khan Q, Chen JY, Zeng XP, Qin Y, Guo DJ, Mahmood A, et al. Transcriptomic exploration of a high sucrose mutant in comparison with the low sucrose mother genotype in sugarcane during sugar accumulating stage. GCB Bioenergy.
35. Krishnan P, Ravi I, Nayak S. Methods for determining leaf chlorophyll content of rice: A reappraisal. Indian journal of experimental biology. 1996;34:1030–3.
36. Zhao D, Glaz B, Irey MS, Hu CJ. Sugarcane genotype variation in leaf photosynthesis properties and yield as affected by mill mud application. Agronomy Journal. 2015;107(2):506–14.
37. Rao X, Huang X, Zhou Z, Lin X. An improvement of the 2ˆ (–delta delta CT) method for quantitative real-time polymerase chain reaction data analysis. Biostatistics, bioinformatics and biomathematics. 2013;3(3):71.
38. Lutz CM, Linder CC, Davisson MT. Strains, stocks and mutant mice. 2012.
39. Griffiths AJ, Miller JH, Suzuki DT, Lewontin RC, Gelbart WM. Structure of DNA. An Introduction to Genetic Analysis 7th edition: WH Freeman; 2000.
40. Dooner HK, Wang Q, Huang JT, Li Y, He L, Xiong W, et al. Spontaneous mutations in maize pollen are frequent in some lines and arise mainly from retrotranspositions and deletions. Proceedings of the National Academy of Sciences. 2019;116(22):10734–43. pmid:30992374
41. Premachandran M. A spontaneous leaf colour mutant in Saccharum. Indian Journal of Genetics and Plant Breeding. 1994;54(1):96–8.
42. Jagathesan D, Sreenivasan T. Induced mutations in sugarcane. Indian Journal of Agricultural Science. 1970;40:165–72.
43. Khan IA, Dahot MU, Khatri A. Study of genetic variability in sugarcane induced through mutation breeding. Pak J Bot. 2007;39(5):1489–501.
44. Akhtar M, Elahi N, Ashraf M. Morphological characters of some exotic sugarcane varieties. Pakistan Journal of Biological Sciences. 2001;4:471–6.
45. Abdul QK, Kiya AT, Berhanu LR. A study on morphological characters of introduced sugarcane varieties (Saccharum spp., hybrid) in Ethiopia. International Journal of Plant Breeding and Genetics. 2017;11(1):1–12.
46. Siraree A, Banerjee N, Kumar S, Khan M, Singh P, Sharma S, et al. Agro-morphological description, genetic diversity and population structure of sugarcane varieties from sub-tropical India. 3 Biotech. 2018;8(11):1–12. pmid:30402371
47. Yasmeen S, Rajput MT, Khan IA, Hasseny SS. Induced mutations and somaclonal variations in three sugarcane (Saccharum officinarum L.) varieties. Pak J Bot. 2017;49(3):955–64.
48. de Almeida Silva M, Caputo MM. Ripening and the use of ripeners for better sugarcane management. Crop Management–cases and tools for higher yield and sustainability. 2012:1.
49. Kim S-H, Yang Y, Timlin DJ, Fleisher DH, Dathe A, Reddy VR, et al. Modeling temperature responses of leaf growth, development, and biomass in maize with MAIZSIM. 2012.
50. Sandhu H, Gilbert R, McCray J, Perdomo R, Eiland B, Powell G, et al. Relationships among leaf area index, visual growth rating, and sugarcane yield. Journal-American Society of Sugar Cane Technologists. 2012;32:1–14.
51. Viator R, White P Jr, Hale A, Waguespack H. Screening for tolerance to periodic flooding for cane grown for sucrose and bioenergy. Biomass and Bioenergy. 2012;44:56–63.
52. da Silva VSG, de Oliveira MW, Oliveira TBA, Mantovanelli BC, da Silva AC, et al. Leaf area of sugarcane varieties and their correlation with biomass productivity in three cycles. African Journal of Agricultural Research. 2017;12(7):459–66.
53. Ling Q, Huang W, Jarvis P. Use of a SPAD-502 meter to measure leaf chlorophyll concentration in Arabidopsis thaliana. Photosynthesis research. 2011;107(2):209–14. pmid:21188527
54. Uddling J, Gelang-Alfredsson J, Piikki K, Pleijel H. Evaluating the relationship between leaf chlorophyll concentration and SPAD-502 chlorophyll meter readings. Photosynthesis research. 2007;91(1):37–46. pmid:17342446
55. Murchie E, Pinto M, Horton P. Agriculture and the new challenges for photosynthesis research. New Phytologist. 2009;181(3):532–52. pmid:19140947
56. Evans JR. Improving photosynthesis. Plant physiology. 2013;162(4):1780–93. pmid:23812345
57. Gomathi R, Rao PNG, Rakkiyappan P, Sundara BP, Shiyamala S. Physiological studies on ratoonability of sugarcane varieties under tropical Indian condition. 2013.
58. Zhao Y, Zhang Z, Gao J, Wang P, Hu T, Wang Z, et al. Arabidopsis duodecuple mutant of PYL ABA receptors reveals PYL repression of ABA-independent SnRK2 activity. Cell reports. 2018;23(11):3340–51. e5. pmid:29898403
59. Du Y-C, Nose A, Kondo A, Wasano K. Diurnal changes in photosynthesis in sugarcane leaves: II. Enzyme activities and metabolite levels relating to sucrose and starch metabolism. Plant Production Science. 2000;3(1):9–16.
60. Inman-Bamber N, Bonnett G, Spillman M, Hewitt M, Jackson J. Increasing sucrose accumulation in sugarcane by manipulating leaf extension and photosynthesis with irrigation. Australian Journal of Agricultural Research. 2008;59(1):13–26.
61. Luo J, Pan Y-B, Xu L, Zhang Y, Zhang H, Chen R, et al. Photosynthetic and canopy characteristics of different varieties at the early elongation stage and their relationships with the cane yield in sugarcane. The Scientific World Journal. 2014;2014. pmid:25045742
62. Botha FC, Lakshmanan P, O’Connell A, Moore PH. Hormones and growth regulators. Sugarcane: Physiology, Biochemistry, and Functional Biology. 2013:331–77.
63. Osugi A, Sakakibara H. Q&A: How do plants respond to cytokinins and what is their importance? BMC biology. 2015;13(1):1–10.
64. Cunha CP, Roberto GG, Vicentini R, Lembke CG, Souza GM, Ribeiro RV, et al. Ethylene-induced transcriptional and hormonal responses at the onset of sugarcane ripening. Scientific Reports. 2017;7(1):1–18. pmid:28127051
65. Gupta R, Chakrabarty S. Gibberellic acid in plant: still a mystery unresolved. Plant signaling & behavior. 2013;8(9):e25504.
66. Resende P, Soares J, Hudetz M. Moddus, a plant growth regulator and management tool for sugarcane production in Brazil. Sugar Cane International. 2000(4):5–9.
67. Claeys H, De Bodt S, Inzé D. Gibberellins and DELLAs: central nodes in growth regulatory networks. Trends in plant science. 2014;19(4):231–9. pmid:24182663
68. Gopitha K, Bhavani AL, Senthilmanickam J. Effect of the different auxins and cytokinins in callus induction, shoot, root regeneration in sugarcane. International Journal of Pharma and Bio Sciences. 2010;1(3):1–7.
69. Misto, Mulyono T, Cahyono BE, Zain T, editors. Determining sugar content in sugarcane plants using LED spectrophotometer. AIP Conference Proceedings; 2019: AIP Publishing LLC.
70. Grof CP, Campbell JA. Sugarcane sucrose metabolism: scope for molecular manipulation. Functional Plant Biology. 2001;28(1):1–12.
71. Jagathesan D, Ratnam R. A vigorous mutant sugarcane (Saccharum sp.) clone Co 527. Theoretical and Applied Genetics. 1978;51(6):311–3. pmid:24317906
72. Teixeira SR, De Souza AE, de Almeida Santos GT, Vilche Pena AF, Miguel AG. Sugarcane bagasse ash as a potential quartz replacement in red ceramic. Journal of the American Ceramic Society. 2008;91(6):1883–7.
73. Lavanya DL, Hemaprabha G. Analysis of genetic diversity among high sucrose genotypes of sugarcane (Saccharum spp.) derived from CoC 671 using sugarcane specific microsatellite markers. Electronic Journal of Plant Breeding. 2010;1(4):399–406.
74. Waclawovsky AJ, Sato PM, Lembke CG, Moore PH, Souza GM. Sugarcane for bioenergy production: an assessment of yield and regulation of sucrose content. Plant Biotechnology Journal. 2010;8(3):263–76. pmid:20388126
75. Ma P, Zhang X, Chen L, Zhao Q, Zhang Q, Hua X, et al. Comparative analysis of sucrose phosphate synthase (SPS) gene family between Saccharum officinarum and Saccharum spontaneum. BMC plant biology. 2020;20(1):1–15. pmid:31898482
76. Wind J, Smeekens S, Hanson J. Sucrose: metabolite and signaling molecule. Phytochemistry. 2010;71(14–15):1610–4. pmid:20696445
77. Ishimaru K, Ono K, Kashiwagi T. Identification of a new gene controlling plant height in rice using the candidate-gene strategy. Planta. 2004;218(3):388–95. pmid:14534788
78. Sarquís JI, Gonzalez H, de Jiménez ES, Dunlap JR. Physiological traits associated with mass selection for improved yield in a maize population. Field Crops Research. 1998;56(3):239–46.
79. Goldner W, Thom M, Maretzki A. Sucrose metabolism in sugarcane cell suspension cultures. Plant Science. 1991;73(2):143–7.
80. Schäfer WE, Rohwer JM, Botha FC. Protein‐level expression and localization of sucrose synthase in the sugarcane culm. Physiologia Plantarum. 2004;121(2):187–95. pmid:15153185
81. Verma AK, Upadhyay S, Verma PC, Solomon S, Singh SB. Functional analysis of sucrose phosphate synthase (SPS) and sucrose synthase (SS) in sugarcane (Saccharum) cultivars. Plant Biology. 2011;13(2):325–32. pmid:21309979
82. Ansari MI, Yadav A, Lal R. An-overview on invertase in sugarcane. Bioinformation. 2013;9(9):464. pmid:23847400
83. Lontom W, Kosittrakun M, Lingle S. Relationship of acid invertase activities to sugar content in sugarcane internodes during ripening and after harvest. Thai Journal of Agricultural Science. 2008;41(3–4):143–51.
84. Lingle SE. Sugar metabolism during growth and development in sugarcane internodes. Crop Science. 1999;39(2):480–6.
85. Botha FC, Black KG. Sucrose phosphate synthase and sucrose synthase activity during maturation of internodal tissue in sugarcane. Functional Plant Biology. 2000;27(1):81–5.
86. Grof CP, Albertson PL, Bursle J, Perroux JM, Bonnett GD, Manners JM. Sucrose‐phosphate synthase, a biochemical marker of high sucrose accumulation in sugarcane. Crop Science. 2007;47(4):1530–9.
87. Gutierrez-Miceli F, Rodriguez-Mendiola M, Ochoa-Alejo N, Méndez-Salas R, Arias-Castro C, Dendooven L. Sucrose accumulation and enzyme activities in callus culture of sugarcane. Biologia plantarum. 2005;49(3):475–9.
88. Ali A, Pan Y-B, Wang Q-N, Wang J-D, Chen J-L, Gao S-J. Genetic diversity and population structure analysis of Saccharum and Erianthus genera using microsatellite (SSR) markers. Scientific reports. 2019;9(1):1–10. pmid:30626917
89. Pan Y-B. Development and integration of an SSR-based molecular identity database into sugarcane breeding program. Multidisciplinary Digital Publishing Institute; 2016.
90. Andru S, Pan Y-B, Thongthawee S, Burner DM, Kimbeng CA. Genetic analysis of the sugarcane (Saccharum spp.) cultivar ‘LCP 85–384’. I. Linkage mapping using AFLP, SSR, and TRAP markers. Theoretical and Applied Genetics. 2011;123(1):77–93. pmid:21472411
91. Ukoskit K, Posudsavang G, Pongsiripat N, Chatwachirawong P, Klomsa-Ard P, Poomipant P, et al. Detection and validation of EST-SSR markers associated with sugar-related traits in sugarcane using linkage and association mapping. Genomics. 2019;111(1):1–9. pmid:29608956
92. Tew TL, Pan YB. Microsatellite (Simple Sequence Repeat) Marker–based Paternity Analysis of a Seven‐Parent Sugarcane Polycross. Crop Science. 2010;50(4):1401–8.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2022 Khan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
Sugarcane is a significant crop plant with the capability of accumulating higher amount of sucrose. In the present study, a high sucrose content sugarcane mutant clone, GXB9, has been studied in comparison to the low sucrose mother clone B9 on morphological, agronomical and physiological level in order to scrutinize the variation because of mutation in GXB9 in field under normal environmental condition. The results showed that GXB9 has less germination, tillering rate, stalk height, leaf length, leaf width, leaf area, number of internodes, internode length and internode diameter than B9. Qualitative traits of leaf and stalk displayed significant variation between GXB9 and B9. Endogenous hormones quantity was also showed variation between the two clones. The relative SPAD reading and chlorophyll a, b concentrations also showed variation between GXB9 and B9. The photosynthetic parameter analysis indicated that the GXB9 has significantly higher net photosynthetic rate (Pn), stomatal conductance (gs) and transpiration rate (Tr) than B9. The qRT-PCR analysis of genes encoding enzymes like SPS, SuSy, CWIN, and CeS showed upregulation in GXB9 and downregulation in B9. However, these genes were significantly differentially expressed between the immature and maturing internodes of GXB9. The cane quality trait analysis showed that GXB9 had higher juice rate, juice gravity purity, brix, juice sucrose content and cane sucrose content than B9. The yield and component investigation results indicated that GXB9 had lower single stalk weight, however higher number of millable stalks per hectare than B9, and GXB9 had lower theoretical cane yield than B9. SSR marker analysis showed genetic variation between GXB9 and B9. This study has shown significant variation in the traits of GXB9 in comparison to B9 which advocates that GXB9 is a high sugar mutant clone of B9 and an elite source for future breeding.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer