Abstract

Background

Arsenic (As) is an unwanted toxic mineral that threatens the major rice-growing regions in the world, especially in South Asia. Rice production in Bangladesh and India depends on As-contaminated groundwater sources for irrigating paddy fields, resulting in elevated amounts of As in the topsoil. Arsenic accumulating in rice plants has a significant negative effect on human and animal health. Here, we present a quantitative trait locus (QTL) mapping study to identify candidate genes conferring As toxicity tolerance and accumulation in rice (Oryza sativa L.) seedlings. An early backcross breeding population consisting of 194 lines derived from a cross between WTR1 (indica) and Hao-an-nong (japonica) was grown in hydroponics for 25 days, from the seventh day exposed to an environmentally relevant concentration of 10 ppm As.

Results

Arsenic toxicity leads to significantly negative plant responses, including reduced biomass, stunted plant growth, reduced leaf chlorophyll content, and increased shoot As concentration ranging from 9 to 20 mg kg− 1. Marker-trait association was determined for seven As-related traits using 704 single nucleotide polymorphism (SNP) markers generated from a 6 K SNP-array. One QTL was mapped on chromosome 1 for relative chlorophyll content, two QTLs for As content in roots were mapped on chromosome 8, and six QTLs for As content in shoots were mapped on chromosomes 2, 5, 6, and 9. Using the whole-genome sequence of the parents, we narrowed down the number of candidate genes associated with the QTL intervals based on the existence of a non-synonymous mutation in genes between the parental lines. Also, by using publicly available gene expression profiles for As stress, we further narrowed down the number of candidate genes in the QTL intervals by comparing the expression profiles of genes under As stress and control conditions. Twenty-five genes showing transcription regulation were considered as candidate gene nominees for As toxicity-related traits.

Conclusions

Our study provides insight into the genetic basis of As tolerance and uptake in the early seedling stage of rice. Comparing our findings with the previously reported QTLs for As toxicity stress in rice, we identified some novel and co-localized QTLs associated with As stress. Also, the mapped QTLs harbor gene models of known function associated with stress responses, metal homeostasis, and transporter activity in rice. Overall, our findings will assist breeders with initial marker information to develop suitable varieties for As-contaminated ecosystems.

Details

Title
Mapping of genomic regions associated with arsenic toxicity stress in a backcross breeding populations of rice (Oryza sativa L.)
Author
Murugaiyan, Varunseelan 1 ; Jauhar, Ali 2   VIAFID ORCID Logo  ; Anumalla Mahender 2 ; Aslam, Umair M 2 ; Zilhas Ahmed Jewel 2 ; Pang, Yunlong 3 ; Marfori-Nazarea, Corinne M 2 ; Lin-Bo, Wu 4 ; Frei, Michael 4 ; Li, Zhikang 5 

 Rice Breeding Platform, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines; Plant Nutrition, Institute of Crop Sciences and Resource Conservation (INRES), University of Bonn, Bonn, Germany 
 Rice Breeding Platform, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines 
 Rice Breeding Platform, International Rice Research Institute (IRRI), Los Baños, Laguna, Philippines; State Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Taian, People’s Republic of China 
 Plant Nutrition, Institute of Crop Sciences and Resource Conservation (INRES), University of Bonn, Bonn, Germany 
 National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, People’s Republic of China 
Pages
1-14
Publication year
2019
Publication date
Aug 2019
Publisher
Springer Nature B.V.
ISSN
19398425
e-ISSN
19348037
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2270360986
Copyright
Rice is a copyright of Springer, (2019). All Rights Reserved., © 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.