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Insight into the genetic variability analysis and cultivar identification of tall fescue by using SSR markers

BACKGROUND: Genetic diversity of 19 forage-type and 2 turf-type cultivars of tall fescue (Festuca arundinacea Schreb.) was revealed using SSR markers in an attempt to explore the genetic relationships among them, and examine potential use of SSR markers to identify cultivars by bulked samples. RESUL...

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Autores principales: Fu, Kaixin, Guo, Zhihui, Zhang, Xinquan, Fan, Yan, Wu, Wendan, Li, Daxu, Peng, Yan, Huang, Linkai, Sun, Ming, Bai, Shiqie, Ma, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5226091/
https://www.ncbi.nlm.nih.gov/pubmed/28096771
http://dx.doi.org/10.1186/s41065-016-0013-1
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author Fu, Kaixin
Guo, Zhihui
Zhang, Xinquan
Fan, Yan
Wu, Wendan
Li, Daxu
Peng, Yan
Huang, Linkai
Sun, Ming
Bai, Shiqie
Ma, Xiao
author_facet Fu, Kaixin
Guo, Zhihui
Zhang, Xinquan
Fan, Yan
Wu, Wendan
Li, Daxu
Peng, Yan
Huang, Linkai
Sun, Ming
Bai, Shiqie
Ma, Xiao
author_sort Fu, Kaixin
collection PubMed
description BACKGROUND: Genetic diversity of 19 forage-type and 2 turf-type cultivars of tall fescue (Festuca arundinacea Schreb.) was revealed using SSR markers in an attempt to explore the genetic relationships among them, and examine potential use of SSR markers to identify cultivars by bulked samples. RESULTS: A total of 227 clear band was scored with 14 SSR primers and out of which 201 (88.6 %) were found polymorphic. The percentage of polymorphic bands (PPB) per primer pair varied from 62.5 to 100 % with an average of 86.9 %. The polymorphism information content (PIC) value ranged from 0.116 to 0.347 with an average of 0.257 and the highest PIC value (0.347) was noticed for primer NFA040 followed by NFA113 (0.346) whereas the highest discriminating power (D) of 1 was shown in NFA037 and LMgSSR02-01C. A Neighbor-joining dendrogram and the principal component analysis identified six major clusters and grouped the cultivars in agreement with their breeding histories. STRUCTURE analysis divided these cultivars into 3 sub-clades which correspond to distance based groupings. CONCLUSION: These findings indicates that SSR markers by bulking strategy are a useful tool to measure genetic diversity among tall fescue cultivars and could be used to supplement morphological data for plant variety protection.
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spelling pubmed-52260912017-01-17 Insight into the genetic variability analysis and cultivar identification of tall fescue by using SSR markers Fu, Kaixin Guo, Zhihui Zhang, Xinquan Fan, Yan Wu, Wendan Li, Daxu Peng, Yan Huang, Linkai Sun, Ming Bai, Shiqie Ma, Xiao Hereditas Research BACKGROUND: Genetic diversity of 19 forage-type and 2 turf-type cultivars of tall fescue (Festuca arundinacea Schreb.) was revealed using SSR markers in an attempt to explore the genetic relationships among them, and examine potential use of SSR markers to identify cultivars by bulked samples. RESULTS: A total of 227 clear band was scored with 14 SSR primers and out of which 201 (88.6 %) were found polymorphic. The percentage of polymorphic bands (PPB) per primer pair varied from 62.5 to 100 % with an average of 86.9 %. The polymorphism information content (PIC) value ranged from 0.116 to 0.347 with an average of 0.257 and the highest PIC value (0.347) was noticed for primer NFA040 followed by NFA113 (0.346) whereas the highest discriminating power (D) of 1 was shown in NFA037 and LMgSSR02-01C. A Neighbor-joining dendrogram and the principal component analysis identified six major clusters and grouped the cultivars in agreement with their breeding histories. STRUCTURE analysis divided these cultivars into 3 sub-clades which correspond to distance based groupings. CONCLUSION: These findings indicates that SSR markers by bulking strategy are a useful tool to measure genetic diversity among tall fescue cultivars and could be used to supplement morphological data for plant variety protection. BioMed Central 2016-08-11 /pmc/articles/PMC5226091/ /pubmed/28096771 http://dx.doi.org/10.1186/s41065-016-0013-1 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Fu, Kaixin
Guo, Zhihui
Zhang, Xinquan
Fan, Yan
Wu, Wendan
Li, Daxu
Peng, Yan
Huang, Linkai
Sun, Ming
Bai, Shiqie
Ma, Xiao
Insight into the genetic variability analysis and cultivar identification of tall fescue by using SSR markers
title Insight into the genetic variability analysis and cultivar identification of tall fescue by using SSR markers
title_full Insight into the genetic variability analysis and cultivar identification of tall fescue by using SSR markers
title_fullStr Insight into the genetic variability analysis and cultivar identification of tall fescue by using SSR markers
title_full_unstemmed Insight into the genetic variability analysis and cultivar identification of tall fescue by using SSR markers
title_short Insight into the genetic variability analysis and cultivar identification of tall fescue by using SSR markers
title_sort insight into the genetic variability analysis and cultivar identification of tall fescue by using ssr markers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5226091/
https://www.ncbi.nlm.nih.gov/pubmed/28096771
http://dx.doi.org/10.1186/s41065-016-0013-1
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