Eight soybean reference genome resources from varying latitudes and agronomic traits
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 generatio...
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description | 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.
Measurement(s)
DNA • RNA • sequence_assembly • genome • sequence feature annotation
Technology Type(s)
DNA sequencing • RNA sequencing • sequence assembly process • sequence annotation
Sample Characteristic - Organism
Soybean
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.14727255 |
doi_str_mv | 10.1038/s41597-021-00947-2 |
format | Article |
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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.
Measurement(s)
DNA • RNA • sequence_assembly • genome • sequence feature annotation
Technology Type(s)
DNA sequencing • RNA sequencing • sequence assembly process • sequence annotation
Sample Characteristic - Organism
Soybean
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.14727255</description><identifier>ISSN: 2052-4463</identifier><identifier>EISSN: 2052-4463</identifier><identifier>DOI: 10.1038/s41597-021-00947-2</identifier><identifier>PMID: 34210987</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/208/212/748 ; 631/208/726/649/2157 ; 631/208/8 ; Alleles ; Chromosome Mapping ; Comparative analysis ; Data Descriptor ; Deoxyribonucleic acid ; DNA ; DNA sequencing ; Domestication ; Genetic diversity ; Genetic resources ; Genetic Variation ; Genome, Plant ; Genomes ; Genomic analysis ; Glycine max - genetics ; Humanities and Social Sciences ; multidisciplinary ; Multidisciplinary Sciences ; Nucleotide sequence ; Phenotype ; Plant Breeding ; Reference Values ; Science ; Science & Technology ; Science & Technology - Other Topics ; Science (multidisciplinary) ; Soybeans</subject><ispartof>Scientific data, 2021-07, Vol.8 (1), p.164-164, Article 164</ispartof><rights>The Author(s) 2021</rights><rights>The Author(s) 2021. 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.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>12</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000671793600002</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c540t-ea93bdc1ef1954eeea65bbcbf8b9a49ecfac3ffe9115c4e9c301b09b1b9c7fae3</citedby><cites>FETCH-LOGICAL-c540t-ea93bdc1ef1954eeea65bbcbf8b9a49ecfac3ffe9115c4e9c301b09b1b9c7fae3</cites><orcidid>0000-0002-7129-3731 ; 0000-0003-4865-3855</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249447/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249447/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2106,2118,27933,27934,39267,41129,42198,51585,53800,53802</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34210987$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chu, Jeffrey Shih-Chieh</creatorcontrib><creatorcontrib>Peng, Bo</creatorcontrib><creatorcontrib>Tang, Kuanqiang</creatorcontrib><creatorcontrib>Yi, Xingxing</creatorcontrib><creatorcontrib>Zhou, Huangkai</creatorcontrib><creatorcontrib>Wang, Huan</creatorcontrib><creatorcontrib>Li, Guang</creatorcontrib><creatorcontrib>Leng, Jiantian</creatorcontrib><creatorcontrib>Chen, Nansheng</creatorcontrib><creatorcontrib>Feng, Xianzhong</creatorcontrib><title>Eight soybean reference genome resources from varying latitudes and agronomic traits</title><title>Scientific data</title><addtitle>Sci Data</addtitle><addtitle>SCI DATA</addtitle><addtitle>Sci Data</addtitle><description>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.
Measurement(s)
DNA • RNA • sequence_assembly • genome • sequence feature annotation
Technology Type(s)
DNA sequencing • RNA sequencing • sequence assembly process • sequence annotation
Sample Characteristic - Organism
Soybean
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.14727255</description><subject>631/208/212/748</subject><subject>631/208/726/649/2157</subject><subject>631/208/8</subject><subject>Alleles</subject><subject>Chromosome Mapping</subject><subject>Comparative analysis</subject><subject>Data Descriptor</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>DNA sequencing</subject><subject>Domestication</subject><subject>Genetic diversity</subject><subject>Genetic resources</subject><subject>Genetic Variation</subject><subject>Genome, Plant</subject><subject>Genomes</subject><subject>Genomic analysis</subject><subject>Glycine max - genetics</subject><subject>Humanities and Social Sciences</subject><subject>multidisciplinary</subject><subject>Multidisciplinary Sciences</subject><subject>Nucleotide sequence</subject><subject>Phenotype</subject><subject>Plant Breeding</subject><subject>Reference Values</subject><subject>Science</subject><subject>Science & Technology</subject><subject>Science & Technology - 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genetics</topic><topic>Humanities and Social Sciences</topic><topic>multidisciplinary</topic><topic>Multidisciplinary Sciences</topic><topic>Nucleotide sequence</topic><topic>Phenotype</topic><topic>Plant Breeding</topic><topic>Reference Values</topic><topic>Science</topic><topic>Science & Technology</topic><topic>Science & Technology - Other Topics</topic><topic>Science (multidisciplinary)</topic><topic>Soybeans</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chu, Jeffrey Shih-Chieh</creatorcontrib><creatorcontrib>Peng, Bo</creatorcontrib><creatorcontrib>Tang, Kuanqiang</creatorcontrib><creatorcontrib>Yi, Xingxing</creatorcontrib><creatorcontrib>Zhou, Huangkai</creatorcontrib><creatorcontrib>Wang, Huan</creatorcontrib><creatorcontrib>Li, Guang</creatorcontrib><creatorcontrib>Leng, Jiantian</creatorcontrib><creatorcontrib>Chen, Nansheng</creatorcontrib><creatorcontrib>Feng, Xianzhong</creatorcontrib><collection>Springer Nature OA/Free Journals</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Scientific data</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chu, Jeffrey Shih-Chieh</au><au>Peng, Bo</au><au>Tang, Kuanqiang</au><au>Yi, Xingxing</au><au>Zhou, Huangkai</au><au>Wang, Huan</au><au>Li, Guang</au><au>Leng, Jiantian</au><au>Chen, Nansheng</au><au>Feng, Xianzhong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Eight soybean reference genome resources from varying latitudes and agronomic traits</atitle><jtitle>Scientific data</jtitle><stitle>Sci Data</stitle><stitle>SCI DATA</stitle><addtitle>Sci Data</addtitle><date>2021-07-01</date><risdate>2021</risdate><volume>8</volume><issue>1</issue><spage>164</spage><epage>164</epage><pages>164-164</pages><artnum>164</artnum><issn>2052-4463</issn><eissn>2052-4463</eissn><abstract>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.
Measurement(s)
DNA • RNA • sequence_assembly • genome • sequence feature annotation
Technology Type(s)
DNA sequencing • RNA sequencing • sequence assembly process • sequence annotation
Sample Characteristic - Organism
Soybean
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.14727255</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>34210987</pmid><doi>10.1038/s41597-021-00947-2</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-7129-3731</orcidid><orcidid>https://orcid.org/0000-0003-4865-3855</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; Nature Free; DOAJ Directory of Open Access Journals; Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" />; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Springer Nature OA/Free Journals; PubMed Central Open Access |
subjects | 631/208/212/748 631/208/726/649/2157 631/208/8 Alleles Chromosome Mapping Comparative analysis Data Descriptor Deoxyribonucleic acid DNA DNA sequencing Domestication Genetic diversity Genetic resources Genetic Variation Genome, Plant Genomes Genomic analysis Glycine max - genetics Humanities and Social Sciences multidisciplinary Multidisciplinary Sciences Nucleotide sequence Phenotype Plant Breeding Reference Values Science Science & Technology Science & Technology - Other Topics Science (multidisciplinary) Soybeans |
title | Eight soybean reference genome resources from varying latitudes and agronomic traits |
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