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Recovery of metagenome-assembled genomes from the phyllosphere of 110 rice genotypes

文献类型: 外文期刊

作者: Su, Pin 1 ; Wicaksono, Wisnu Adi 3 ; Li, Chenggang 1 ; Michl, Kristina 3 ; Berg, Gabriele 3 ; Wang, Dan 4 ; Xiao, Youlun 1 ; Huang, Renyan 1 ; Kang, Houxiang 5 ; Zhang, Deyong 1 ; Cernava, Tomislav 3 ; Liu, Yong 1 ;

作者机构: 1.Hunan Acad Agr Sci, State Key Lab Hybrid Rice, Changsha 410125, Peoples R China

2.Hunan Acad Agr Sci, Inst Plant Protect, Changsha 410125, Peoples R China

3.Graz Univ Technol, Inst Environm Biotechnol, A-8010 Graz, Austria

4.Hunan Agr Univ, Changsha 410128, Peoples R China

5.Chinese Acad Agr Sci, Inst Plant Protect, State Key Lab Biol Plant Dis & Insect Pests, Beijing 100193, Peoples R China

6.China Natl Hybrid Rice R&D Ctr, Hunan Hybrid Rice Res Ctr, Changsha 410125, Peoples R China

期刊名称:SCIENTIFIC DATA ( 影响因子:8.501; 五年影响因子:11.211 )

ISSN:

年卷期: 2022 年 9 卷 1 期

页码:

收录情况: SCI

摘要: The plant microbiota plays crucial roles in sustaining plant health and productivity. Advancing plant microbiome research and designing sustainable practices for agriculture requires in-depth assessments of microorganisms associated with different host plants; however, there is little information on functional aspects of many microorganisms of interest. Therefore, we enriched microorganisms from the phyllosphere of 110 rice genotypes and subjected them to shotgun metagenomic sequencing to reconstruct bacterial genomes from the obtained datasets. The approach yielded a total of 1.34 terabases of shotgun-sequenced metagenomic data. By separately recovering bacterial genomes from each of the 110 rice genotypes, we recovered 569 non-redundant metagenome-assembled genomes (MAGs) with a completeness higher than 50% and contaminations less than 10%. The MAGs were primarily assigned to Alphaproteobacteria, Gammaproteobacteria, and Bacteroidia. The presented data provides an extended basis for microbiome analyses of plant-associated microorganisms. It is complemented by detailed metadata to facilitate implementations in ecological studies, biotechnological mining approaches, and comparative assessments with genomes or MAGs from other studies.

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