Genome-wide SSR marker analysis to understand the genetic diversity and population sub-structure in Akebia trifoliata
Genetic diversity is usually regarded as important information for understanding the origin, evolution and environmental adaptation of species. A total of 174 living collections of Akebia trifoliata and 72 high-polymorphism-potential (HPP) simple sequence repeat (SSR) markers were employed to system...
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description | Genetic diversity is usually regarded as important information for understanding the origin, evolution and environmental adaptation of species. A total of 174 living collections of
Akebia trifoliata
and 72 high-polymorphism-potential (HPP) simple sequence repeat (SSR) markers were employed to systematically analyse the diversity and structure of this species. The average number of alleles (Na), Shannon information index (
I
), number of effective alleles (Ne), observed heterozygosity (Ho), expected heterozygosity (He) and polymorphism information content (PIC) values were 9.01, 1.64, 4.98, 0.56, 0.72 and 0.69, respectively. The PIC value of AK78 was the highest (0.92), while that of AK53 was the lowest (0.21), and sixty of 72 loci exhibited high polymorphism, but only one exhibited low polymorphism. The genetic diversity of the SCB population was the highest, while that of NQH was the lowest, and further analysis of SCB suggested that JSJ–MJ, in the main part of the Heng Duan Mountain zone, had the highest genetic diversity and could be the origin centre of
A. trifoliata
. In addition, the main migration route of
A. trifoliata
could have been latitudinally from western to eastern China along the Yangtze River. Structure, cluster and principal coordinate analyses yielded similar results, revealing that the 6 populations could be divided into 2 groups or clusters, and the geographic origin of several unknown accessions, such as Alc-166, Alc-171, Alc-172 and Alc-174, was revealed by cluster analysis. Overall, the results suggested that the living collections of
A. trifoliata
had high genetic diversity, low linkage disequilibrium (1.17%) and good representativeness, which will facilitate
A. trifoliata
germplasm collection, preservation, and breeding applications. |
doi_str_mv | 10.1007/s10722-023-01602-y |
format | Article |
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Akebia trifoliata
and 72 high-polymorphism-potential (HPP) simple sequence repeat (SSR) markers were employed to systematically analyse the diversity and structure of this species. The average number of alleles (Na), Shannon information index (
I
), number of effective alleles (Ne), observed heterozygosity (Ho), expected heterozygosity (He) and polymorphism information content (PIC) values were 9.01, 1.64, 4.98, 0.56, 0.72 and 0.69, respectively. The PIC value of AK78 was the highest (0.92), while that of AK53 was the lowest (0.21), and sixty of 72 loci exhibited high polymorphism, but only one exhibited low polymorphism. The genetic diversity of the SCB population was the highest, while that of NQH was the lowest, and further analysis of SCB suggested that JSJ–MJ, in the main part of the Heng Duan Mountain zone, had the highest genetic diversity and could be the origin centre of
A. trifoliata
. In addition, the main migration route of
A. trifoliata
could have been latitudinally from western to eastern China along the Yangtze River. Structure, cluster and principal coordinate analyses yielded similar results, revealing that the 6 populations could be divided into 2 groups or clusters, and the geographic origin of several unknown accessions, such as Alc-166, Alc-171, Alc-172 and Alc-174, was revealed by cluster analysis. Overall, the results suggested that the living collections of
A. trifoliata
had high genetic diversity, low linkage disequilibrium (1.17%) and good representativeness, which will facilitate
A. trifoliata
germplasm collection, preservation, and breeding applications.</description><identifier>ISSN: 0925-9864</identifier><identifier>EISSN: 1573-5109</identifier><identifier>DOI: 10.1007/s10722-023-01602-y</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Agriculture ; Akebia trifoliata ; Alleles ; Biomedical and Life Sciences ; China ; Cluster analysis ; Evolution ; Gene polymorphism ; Genetic analysis ; Genetic diversity ; genetic variation ; Genomes ; Germplasm ; germplasm conservation ; Heterozygosity ; Life Sciences ; Linkage disequilibrium ; microsatellite repeats ; Plant Genetics and Genomics ; Plant Physiology ; Plant Sciences ; Plant Systematics/Taxonomy/Biogeography ; Polymorphism ; Population genetics ; provenance ; Research Article ; Yangtze River</subject><ispartof>Genetic resources and crop evolution, 2023-12, Vol.70 (8), p.2741-2754</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-24c87b964daf2ca098c6e7e27edaf44faba3c577caa6db5c014fc6be7f478b683</citedby><cites>FETCH-LOGICAL-c396t-24c87b964daf2ca098c6e7e27edaf44faba3c577caa6db5c014fc6be7f478b683</cites><orcidid>0000-0002-4603-6960</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10722-023-01602-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10722-023-01602-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Chen, Wei</creatorcontrib><creatorcontrib>Yang, Huai</creatorcontrib><creatorcontrib>Yang, Hao</creatorcontrib><creatorcontrib>Zhong, Shengfu</creatorcontrib><creatorcontrib>Dong, Qing</creatorcontrib><creatorcontrib>Chen, Chen</creatorcontrib><creatorcontrib>Ren, Tianheng</creatorcontrib><creatorcontrib>Li, Zhi</creatorcontrib><creatorcontrib>Tan, Feiquan</creatorcontrib><creatorcontrib>Luo, Peigao</creatorcontrib><title>Genome-wide SSR marker analysis to understand the genetic diversity and population sub-structure in Akebia trifoliata</title><title>Genetic resources and crop evolution</title><addtitle>Genet Resour Crop Evol</addtitle><description>Genetic diversity is usually regarded as important information for understanding the origin, evolution and environmental adaptation of species. A total of 174 living collections of
Akebia trifoliata
and 72 high-polymorphism-potential (HPP) simple sequence repeat (SSR) markers were employed to systematically analyse the diversity and structure of this species. The average number of alleles (Na), Shannon information index (
I
), number of effective alleles (Ne), observed heterozygosity (Ho), expected heterozygosity (He) and polymorphism information content (PIC) values were 9.01, 1.64, 4.98, 0.56, 0.72 and 0.69, respectively. The PIC value of AK78 was the highest (0.92), while that of AK53 was the lowest (0.21), and sixty of 72 loci exhibited high polymorphism, but only one exhibited low polymorphism. The genetic diversity of the SCB population was the highest, while that of NQH was the lowest, and further analysis of SCB suggested that JSJ–MJ, in the main part of the Heng Duan Mountain zone, had the highest genetic diversity and could be the origin centre of
A. trifoliata
. In addition, the main migration route of
A. trifoliata
could have been latitudinally from western to eastern China along the Yangtze River. Structure, cluster and principal coordinate analyses yielded similar results, revealing that the 6 populations could be divided into 2 groups or clusters, and the geographic origin of several unknown accessions, such as Alc-166, Alc-171, Alc-172 and Alc-174, was revealed by cluster analysis. Overall, the results suggested that the living collections of
A. trifoliata
had high genetic diversity, low linkage disequilibrium (1.17%) and good representativeness, which will facilitate
A. trifoliata
germplasm collection, preservation, and breeding applications.</description><subject>Agriculture</subject><subject>Akebia trifoliata</subject><subject>Alleles</subject><subject>Biomedical and Life Sciences</subject><subject>China</subject><subject>Cluster analysis</subject><subject>Evolution</subject><subject>Gene polymorphism</subject><subject>Genetic analysis</subject><subject>Genetic diversity</subject><subject>genetic variation</subject><subject>Genomes</subject><subject>Germplasm</subject><subject>germplasm conservation</subject><subject>Heterozygosity</subject><subject>Life Sciences</subject><subject>Linkage disequilibrium</subject><subject>microsatellite repeats</subject><subject>Plant Genetics and Genomics</subject><subject>Plant Physiology</subject><subject>Plant Sciences</subject><subject>Plant Systematics/Taxonomy/Biogeography</subject><subject>Polymorphism</subject><subject>Population genetics</subject><subject>provenance</subject><subject>Research Article</subject><subject>Yangtze River</subject><issn>0925-9864</issn><issn>1573-5109</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kU9LHTEUxUNpoa_WL-Aq0I2baJLJJJOliFpBENSuQyZzx0bnJa_50zLfvrFPKLhwdeHc3zmLcxA6YvSEUapOM6OKc0J5RyiTlJP1A9qwXnWkZ1R_RBuqeU_0IMVn9CXnJ0qpVnLYoHoFIW6B_PET4Pv7O7y16RkStsEua_YZl4hrmCDlYsOEy0_AjxCgeIcn_7vJvqz45bOLu7rY4mPAuY4kl1RdqQmwD_jsGUZvcUl-jou3xX5Fn2a7ZDh8vQfox-XFw_l3cnN7dX1-dkNcp2UhXLhBjVqKyc7cWaoHJ0EBV9AEIWY72s71Sjlr5TT2jjIxOzmCmoUaRjl0B-h4n7tL8VeFXMzWZwfLYgPEmk3H-o5JKRhr6Lc36FOsqbWQDR8U00ppwRvF95RLMecEs9kl3ypbDaPmZQmzX8K0Jcy_JczaTN3elBscHiH9j37H9RfqIo8C</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Chen, Wei</creator><creator>Yang, Huai</creator><creator>Yang, Hao</creator><creator>Zhong, Shengfu</creator><creator>Dong, Qing</creator><creator>Chen, Chen</creator><creator>Ren, Tianheng</creator><creator>Li, Zhi</creator><creator>Tan, Feiquan</creator><creator>Luo, Peigao</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0002-4603-6960</orcidid></search><sort><creationdate>20231201</creationdate><title>Genome-wide SSR marker analysis to understand the genetic diversity and population sub-structure in Akebia trifoliata</title><author>Chen, Wei ; Yang, Huai ; Yang, Hao ; Zhong, Shengfu ; Dong, Qing ; Chen, Chen ; Ren, Tianheng ; Li, Zhi ; Tan, Feiquan ; Luo, Peigao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-24c87b964daf2ca098c6e7e27edaf44faba3c577caa6db5c014fc6be7f478b683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Agriculture</topic><topic>Akebia trifoliata</topic><topic>Alleles</topic><topic>Biomedical and Life Sciences</topic><topic>China</topic><topic>Cluster analysis</topic><topic>Evolution</topic><topic>Gene polymorphism</topic><topic>Genetic analysis</topic><topic>Genetic diversity</topic><topic>genetic variation</topic><topic>Genomes</topic><topic>Germplasm</topic><topic>germplasm conservation</topic><topic>Heterozygosity</topic><topic>Life Sciences</topic><topic>Linkage disequilibrium</topic><topic>microsatellite repeats</topic><topic>Plant Genetics and Genomics</topic><topic>Plant Physiology</topic><topic>Plant Sciences</topic><topic>Plant Systematics/Taxonomy/Biogeography</topic><topic>Polymorphism</topic><topic>Population genetics</topic><topic>provenance</topic><topic>Research Article</topic><topic>Yangtze River</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Wei</creatorcontrib><creatorcontrib>Yang, Huai</creatorcontrib><creatorcontrib>Yang, Hao</creatorcontrib><creatorcontrib>Zhong, Shengfu</creatorcontrib><creatorcontrib>Dong, Qing</creatorcontrib><creatorcontrib>Chen, Chen</creatorcontrib><creatorcontrib>Ren, Tianheng</creatorcontrib><creatorcontrib>Li, Zhi</creatorcontrib><creatorcontrib>Tan, Feiquan</creatorcontrib><creatorcontrib>Luo, Peigao</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Genetic resources and crop evolution</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Wei</au><au>Yang, Huai</au><au>Yang, Hao</au><au>Zhong, Shengfu</au><au>Dong, Qing</au><au>Chen, Chen</au><au>Ren, Tianheng</au><au>Li, Zhi</au><au>Tan, Feiquan</au><au>Luo, Peigao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genome-wide SSR marker analysis to understand the genetic diversity and population sub-structure in Akebia trifoliata</atitle><jtitle>Genetic resources and crop evolution</jtitle><stitle>Genet Resour Crop Evol</stitle><date>2023-12-01</date><risdate>2023</risdate><volume>70</volume><issue>8</issue><spage>2741</spage><epage>2754</epage><pages>2741-2754</pages><issn>0925-9864</issn><eissn>1573-5109</eissn><abstract>Genetic diversity is usually regarded as important information for understanding the origin, evolution and environmental adaptation of species. A total of 174 living collections of
Akebia trifoliata
and 72 high-polymorphism-potential (HPP) simple sequence repeat (SSR) markers were employed to systematically analyse the diversity and structure of this species. The average number of alleles (Na), Shannon information index (
I
), number of effective alleles (Ne), observed heterozygosity (Ho), expected heterozygosity (He) and polymorphism information content (PIC) values were 9.01, 1.64, 4.98, 0.56, 0.72 and 0.69, respectively. The PIC value of AK78 was the highest (0.92), while that of AK53 was the lowest (0.21), and sixty of 72 loci exhibited high polymorphism, but only one exhibited low polymorphism. The genetic diversity of the SCB population was the highest, while that of NQH was the lowest, and further analysis of SCB suggested that JSJ–MJ, in the main part of the Heng Duan Mountain zone, had the highest genetic diversity and could be the origin centre of
A. trifoliata
. In addition, the main migration route of
A. trifoliata
could have been latitudinally from western to eastern China along the Yangtze River. Structure, cluster and principal coordinate analyses yielded similar results, revealing that the 6 populations could be divided into 2 groups or clusters, and the geographic origin of several unknown accessions, such as Alc-166, Alc-171, Alc-172 and Alc-174, was revealed by cluster analysis. Overall, the results suggested that the living collections of
A. trifoliata
had high genetic diversity, low linkage disequilibrium (1.17%) and good representativeness, which will facilitate
A. trifoliata
germplasm collection, preservation, and breeding applications.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10722-023-01602-y</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-4603-6960</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Agriculture Akebia trifoliata Alleles Biomedical and Life Sciences China Cluster analysis Evolution Gene polymorphism Genetic analysis Genetic diversity genetic variation Genomes Germplasm germplasm conservation Heterozygosity Life Sciences Linkage disequilibrium microsatellite repeats Plant Genetics and Genomics Plant Physiology Plant Sciences Plant Systematics/Taxonomy/Biogeography Polymorphism Population genetics provenance Research Article Yangtze River |
title | Genome-wide SSR marker analysis to understand the genetic diversity and population sub-structure in Akebia trifoliata |
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