Abstract

Deserts occupy one-third of the Earth’s terrestrial surface and represent a potentially significant reservoir of microbial biodiversity, yet the majority of desert microorganisms remain uncharacterized and are seen as “microbial dark matter”. Here, we introduce a multi-omics strategy, culturomics-based metagenomics (CBM) that integrates large-scale cultivation, full-length 16S rRNA gene amplicon, and shotgun metagenomic sequencing. The results showed that CBM captured a significant amount of taxonomic and functional diversity missed in direct sequencing by increasing the recovery of amplicon sequence variants (ASVs) and high/medium-quality metagenome-assembled genomes (MAGs). Importantly, CBM allowed the post hoc recovery of microbes of interest (e.g., novel or specific taxa), even those with extremely low abundance in the culture. Furthermore, strain-level analyses based on CBM and direct sequencing revealed that the desert soils harbored a considerable number of novel bacterial candidates (1941, 51.4%), of which 1095 (from CBM) were culturable. However, CBM would not exactly reflect the relative abundance of true microbial composition and functional pathways in the in situ environment, and its use coupled with direct metagenomic sequencing could provide greater insight into desert microbiomes. Overall, this study exemplifies the CBM strategy with high-resolution is an ideal way to deeply explore the untapped novel bacterial resources in desert soils, and substantially expands our knowledge on the microbial dark matter hidden in the vast expanse of deserts.

Details

Title
Capturing the microbial dark matter in desert soils using culturomics-based metagenomics and high-resolution analysis
Author
Li, Shuai 1 ; Lian, Wen-Hui 2 ; Han, Jia-Rui 2 ; Ali, Mukhtiar 2 ; Lin, Zhi-Liang 2 ; Liu, Yong-Hong 3 ; Li, Li 3 ; Zhang, Dong-Ya 4 ; Jiang, Xian-Zhi 4 ; Li, Wen-Jun 5   VIAFID ORCID Logo  ; Dong, Lei 2   VIAFID ORCID Logo 

 Sun Yat‑sen University, State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Resources and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Guangzhou, China (GRID:grid.12981.33) (ISNI:0000 0001 2360 039X); Jiaying University, School of Life Science, Meizhou, China (GRID:grid.443485.a) (ISNI:0000 0000 8489 9404) 
 Sun Yat‑sen University, State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Resources and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Guangzhou, China (GRID:grid.12981.33) (ISNI:0000 0001 2360 039X) 
 Chinese Academy of Sciences, State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Urumqi, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
 Moon (Guangzhou) Biotech Ltd., Microbiome Research Center, Guangzhou, China (GRID:grid.9227.e) 
 Sun Yat‑sen University, State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Resources and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Guangzhou, China (GRID:grid.12981.33) (ISNI:0000 0001 2360 039X); Chinese Academy of Sciences, State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Urumqi, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
Pages
67
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20555008
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2867134733
Copyright
© The Author(s) 2023. 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.