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Eight soybean reference genome resources from varying latitudes and agronomic traits

本站小编 Free考研考试/2021-12-12

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论文题目: Eight soybean reference genome resources from varying latitudes and agronomic traits
英文论文题目: Eight soybean reference genome resources from varying latitudes and agronomic traits
第一作者: Chu, Jeffrey Shih-Chieh
英文第一作者: Chu, Jeffrey Shih-Chieh
联系作者: 冯献忠,Chen, Nansheng
英文联系作者: fengxianzhong,Chen, Nansheng
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发表年度: 2021
卷: 8
期: 1
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摘要: Comparative analysis of multiple reference genomes representing diverse genetic backgrounds is critical for understanding the role of key alleles important in domestication and genetic breeding of important crops such as soybean. To enrich the genetic resources for soybean, we describe the generation, technical assessment, and preliminary genomic variation analysis of eight de novo reference-grade soybean genome assemblies from wild and cultivated accessions. These resources represent soybeans cultured at different latitudes and exhibiting different agronomical traits. Of these eight soybeans, five are from new accessions that have not been sequenced before. We demonstrate the usage of these genomes to identify small and large genomic variations affecting known genes as well as screening for genic PAV regions for identifying candidates for further functional studies.
英文摘要: Comparative analysis of multiple reference genomes representing diverse genetic backgrounds is critical for understanding the role of key alleles important in domestication and genetic breeding of important crops such as soybean. To enrich the genetic resources for soybean, we describe the generation, technical assessment, and preliminary genomic variation analysis of eight de novo reference-grade soybean genome assemblies from wild and cultivated accessions. These resources represent soybeans cultured at different latitudes and exhibiting different agronomical traits. Of these eight soybeans, five are from new accessions that have not been sequenced before. We demonstrate the usage of these genomes to identify small and large genomic variations affecting known genes as well as screening for genic PAV regions for identifying candidates for further functional studies.
刊物名称: Scientific Data
英文刊物名称: Scientific Data
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参与作者: J. S. C. Chu, B. Peng, K. Q. Tang, X. X. Yi, H. K. Zhou, H. Wang, G. Li, J. T. Leng, N. S. Chen and X. Z. Feng
英文参与作者: J. S. C. Chu, B. Peng, K. Q. Tang, X. X. Yi, H. K. Zhou, H. Wang, G. Li, J. T. Leng, N. S. Chen and X. Z. Feng
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