Genetic diversity and structure of a core collection of Huangqi (Astragalus ssp.) developed using genomic simple sequence repeat markers
Huangqi ( Astragalus spp. ) is a versatile herb that possesses several therapeutic effects against a variety of diseases, especially lung diseases. The aim of this study was to establish a core collection of Astragalus germplasm resources based on 10 simple sequence repeat (SSR) markers. We used 380...
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Veröffentlicht in: | Genetic resources and crop evolution 2023-02, Vol.70 (2), p.571-585 |
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creator | Gong, Fanshu Geng, Yaping Zhang, Pengfei Zhang, Feng Fan, Xinfeng Liu, Yaling |
description | Huangqi (
Astragalus spp.
) is a versatile herb that possesses several therapeutic effects against a variety of diseases, especially lung diseases. The aim of this study was to establish a core collection of
Astragalus
germplasm resources based on 10 simple sequence repeat (SSR) markers. We used 380 samples of
Astragalus
collected from different regions to a core
Astragalus
collection using five different methods, including PowerCore-based M strategy, CoreFinder-based M strategy, Core Hunter-based stepwise sampling, PowerMarker-based simulated annealing algorithm based on allele maximization, and PowerMarker-based simulated annealing algorithm based on maximizing genetic diversity. Among these methods, the CoreFinder-based M strategy was found to be the most suitable approach as it preserved all the alleles, and most of the genetic diversity parameters of the constructed core collections were higher than those of the initial collection. Additional analyses demonstrated that the genetic diversity of the core collection was similar to that of the initial collection. Further, phylogenetic trees indicated that the population structure of the core collection was similar to that of the initial collection. In addition, our results showed that the optimal grouping value of
K
was 2. The construction of a core collection is beneficial for the understanding, management, and utilization of
Astragalus
. Moreover, this study will serve as a valuable reference for constructing core collections of other plants and fungi. |
doi_str_mv | 10.1007/s10722-022-01447-x |
format | Article |
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Astragalus spp.
) is a versatile herb that possesses several therapeutic effects against a variety of diseases, especially lung diseases. The aim of this study was to establish a core collection of
Astragalus
germplasm resources based on 10 simple sequence repeat (SSR) markers. We used 380 samples of
Astragalus
collected from different regions to a core
Astragalus
collection using five different methods, including PowerCore-based M strategy, CoreFinder-based M strategy, Core Hunter-based stepwise sampling, PowerMarker-based simulated annealing algorithm based on allele maximization, and PowerMarker-based simulated annealing algorithm based on maximizing genetic diversity. Among these methods, the CoreFinder-based M strategy was found to be the most suitable approach as it preserved all the alleles, and most of the genetic diversity parameters of the constructed core collections were higher than those of the initial collection. Additional analyses demonstrated that the genetic diversity of the core collection was similar to that of the initial collection. Further, phylogenetic trees indicated that the population structure of the core collection was similar to that of the initial collection. In addition, our results showed that the optimal grouping value of
K
was 2. The construction of a core collection is beneficial for the understanding, management, and utilization of
Astragalus
. Moreover, this study will serve as a valuable reference for constructing core collections of other plants and fungi.</description><identifier>ISSN: 0925-9864</identifier><identifier>EISSN: 1573-5109</identifier><identifier>DOI: 10.1007/s10722-022-01447-x</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Agriculture ; Algorithms ; Alleles ; Biomedical and Life Sciences ; Collection ; Genetic analysis ; Genetic diversity ; Germplasm ; Life Sciences ; Lung diseases ; Maximization ; Optimization ; Phylogeny ; Plant Genetics and Genomics ; Plant Physiology ; Plant Sciences ; Plant Systematics/Taxonomy/Biogeography ; Population structure ; Research Article ; Simulated annealing</subject><ispartof>Genetic resources and crop evolution, 2023-02, Vol.70 (2), p.571-585</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2022. Springer Nature or its licensor 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><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c249t-2c193a7831dc9d48076dde7e9c6f7e74c0b5a556dbadaa2421f542e7aca0bb243</citedby><cites>FETCH-LOGICAL-c249t-2c193a7831dc9d48076dde7e9c6f7e74c0b5a556dbadaa2421f542e7aca0bb243</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10722-022-01447-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10722-022-01447-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Gong, Fanshu</creatorcontrib><creatorcontrib>Geng, Yaping</creatorcontrib><creatorcontrib>Zhang, Pengfei</creatorcontrib><creatorcontrib>Zhang, Feng</creatorcontrib><creatorcontrib>Fan, Xinfeng</creatorcontrib><creatorcontrib>Liu, Yaling</creatorcontrib><title>Genetic diversity and structure of a core collection of Huangqi (Astragalus ssp.) developed using genomic simple sequence repeat markers</title><title>Genetic resources and crop evolution</title><addtitle>Genet Resour Crop Evol</addtitle><description>Huangqi (
Astragalus spp.
) is a versatile herb that possesses several therapeutic effects against a variety of diseases, especially lung diseases. The aim of this study was to establish a core collection of
Astragalus
germplasm resources based on 10 simple sequence repeat (SSR) markers. We used 380 samples of
Astragalus
collected from different regions to a core
Astragalus
collection using five different methods, including PowerCore-based M strategy, CoreFinder-based M strategy, Core Hunter-based stepwise sampling, PowerMarker-based simulated annealing algorithm based on allele maximization, and PowerMarker-based simulated annealing algorithm based on maximizing genetic diversity. Among these methods, the CoreFinder-based M strategy was found to be the most suitable approach as it preserved all the alleles, and most of the genetic diversity parameters of the constructed core collections were higher than those of the initial collection. Additional analyses demonstrated that the genetic diversity of the core collection was similar to that of the initial collection. Further, phylogenetic trees indicated that the population structure of the core collection was similar to that of the initial collection. In addition, our results showed that the optimal grouping value of
K
was 2. The construction of a core collection is beneficial for the understanding, management, and utilization of
Astragalus
. Moreover, this study will serve as a valuable reference for constructing core collections of other plants and fungi.</description><subject>Agriculture</subject><subject>Algorithms</subject><subject>Alleles</subject><subject>Biomedical and Life Sciences</subject><subject>Collection</subject><subject>Genetic analysis</subject><subject>Genetic diversity</subject><subject>Germplasm</subject><subject>Life Sciences</subject><subject>Lung diseases</subject><subject>Maximization</subject><subject>Optimization</subject><subject>Phylogeny</subject><subject>Plant Genetics and Genomics</subject><subject>Plant Physiology</subject><subject>Plant Sciences</subject><subject>Plant Systematics/Taxonomy/Biogeography</subject><subject>Population structure</subject><subject>Research Article</subject><subject>Simulated annealing</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>eNp9UE9LwzAUD6LgnH4BTwEveuhM0rRpj2PoJgy86LmkyWvp7JIuacf2DfzYplTw5uHxHo_fP34I3VOyoISIZ0-JYCwi41DORXS6QDOaiDhKKMkv0YzkLInyLOXX6Mb7HSEkF2k2Q99rMNA3CuvmCM43_RlLo7Hv3aD6wQG2FZZY2XAp27ag-saa8bkZpKkPDX5cBqysZTt47H23eMIajtDaDjQefGNqXIOx--Dgm33XAvZwGMAowA46kD3eS_cVnG_RVSVbD3e_e44-X18-Vpto-75-Wy23kWI87yOmaB5LkcVUq1zzjIhUaxCQq7QSILgiZSKTJNWl1FIyzmiVcAZCKknKkvF4jh4m3c7ZEMT3xc4OzgTLggmR0JhRlgUUm1DKWe8dVEXnmpD0XFBSjI0XU-MFGWdsvDgFUjyRfACbGtyf9D-sHwPSh1c</recordid><startdate>20230201</startdate><enddate>20230201</enddate><creator>Gong, Fanshu</creator><creator>Geng, Yaping</creator><creator>Zhang, Pengfei</creator><creator>Zhang, Feng</creator><creator>Fan, Xinfeng</creator><creator>Liu, Yaling</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></search><sort><creationdate>20230201</creationdate><title>Genetic diversity and structure of a core collection of Huangqi (Astragalus ssp.) developed using genomic simple sequence repeat markers</title><author>Gong, Fanshu ; Geng, Yaping ; Zhang, Pengfei ; Zhang, Feng ; Fan, Xinfeng ; Liu, Yaling</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c249t-2c193a7831dc9d48076dde7e9c6f7e74c0b5a556dbadaa2421f542e7aca0bb243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Agriculture</topic><topic>Algorithms</topic><topic>Alleles</topic><topic>Biomedical and Life Sciences</topic><topic>Collection</topic><topic>Genetic analysis</topic><topic>Genetic diversity</topic><topic>Germplasm</topic><topic>Life Sciences</topic><topic>Lung diseases</topic><topic>Maximization</topic><topic>Optimization</topic><topic>Phylogeny</topic><topic>Plant Genetics and Genomics</topic><topic>Plant Physiology</topic><topic>Plant Sciences</topic><topic>Plant Systematics/Taxonomy/Biogeography</topic><topic>Population structure</topic><topic>Research Article</topic><topic>Simulated annealing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gong, Fanshu</creatorcontrib><creatorcontrib>Geng, Yaping</creatorcontrib><creatorcontrib>Zhang, Pengfei</creatorcontrib><creatorcontrib>Zhang, Feng</creatorcontrib><creatorcontrib>Fan, Xinfeng</creatorcontrib><creatorcontrib>Liu, Yaling</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><jtitle>Genetic resources and crop evolution</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gong, Fanshu</au><au>Geng, Yaping</au><au>Zhang, Pengfei</au><au>Zhang, Feng</au><au>Fan, Xinfeng</au><au>Liu, Yaling</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic diversity and structure of a core collection of Huangqi (Astragalus ssp.) developed using genomic simple sequence repeat markers</atitle><jtitle>Genetic resources and crop evolution</jtitle><stitle>Genet Resour Crop Evol</stitle><date>2023-02-01</date><risdate>2023</risdate><volume>70</volume><issue>2</issue><spage>571</spage><epage>585</epage><pages>571-585</pages><issn>0925-9864</issn><eissn>1573-5109</eissn><abstract>Huangqi (
Astragalus spp.
) is a versatile herb that possesses several therapeutic effects against a variety of diseases, especially lung diseases. The aim of this study was to establish a core collection of
Astragalus
germplasm resources based on 10 simple sequence repeat (SSR) markers. We used 380 samples of
Astragalus
collected from different regions to a core
Astragalus
collection using five different methods, including PowerCore-based M strategy, CoreFinder-based M strategy, Core Hunter-based stepwise sampling, PowerMarker-based simulated annealing algorithm based on allele maximization, and PowerMarker-based simulated annealing algorithm based on maximizing genetic diversity. Among these methods, the CoreFinder-based M strategy was found to be the most suitable approach as it preserved all the alleles, and most of the genetic diversity parameters of the constructed core collections were higher than those of the initial collection. Additional analyses demonstrated that the genetic diversity of the core collection was similar to that of the initial collection. Further, phylogenetic trees indicated that the population structure of the core collection was similar to that of the initial collection. In addition, our results showed that the optimal grouping value of
K
was 2. The construction of a core collection is beneficial for the understanding, management, and utilization of
Astragalus
. Moreover, this study will serve as a valuable reference for constructing core collections of other plants and fungi.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10722-022-01447-x</doi><tpages>15</tpages></addata></record> |
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subjects | Agriculture Algorithms Alleles Biomedical and Life Sciences Collection Genetic analysis Genetic diversity Germplasm Life Sciences Lung diseases Maximization Optimization Phylogeny Plant Genetics and Genomics Plant Physiology Plant Sciences Plant Systematics/Taxonomy/Biogeography Population structure Research Article Simulated annealing |
title | Genetic diversity and structure of a core collection of Huangqi (Astragalus ssp.) developed using genomic simple sequence repeat markers |
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