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Genetic diversity and population structure analysis of spinach by single-nucleotide polymorphisms identified through genotyping-by-sequencing

Spinach (Spinacia oleracea L., 2n = 2x = 12) is an economically important vegetable crop worldwide and one of the healthiest vegetables due to its high concentrations of nutrients and minerals. The objective of this research was to conduct genetic diversity and population structure analysis of a col...

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Autores principales: Shi, Ainong, Qin, Jun, Mou, Beiquan, Correll, James, Weng, Yuejin, Brenner, David, Feng, Chunda, Motes, Dennis, Yang, Wei, Dong, Lingdi, Bhattarai, Gehendra, Ravelombola, Waltram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5708663/
https://www.ncbi.nlm.nih.gov/pubmed/29190770
http://dx.doi.org/10.1371/journal.pone.0188745
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author Shi, Ainong
Qin, Jun
Mou, Beiquan
Correll, James
Weng, Yuejin
Brenner, David
Feng, Chunda
Motes, Dennis
Yang, Wei
Dong, Lingdi
Bhattarai, Gehendra
Ravelombola, Waltram
author_facet Shi, Ainong
Qin, Jun
Mou, Beiquan
Correll, James
Weng, Yuejin
Brenner, David
Feng, Chunda
Motes, Dennis
Yang, Wei
Dong, Lingdi
Bhattarai, Gehendra
Ravelombola, Waltram
author_sort Shi, Ainong
collection PubMed
description Spinach (Spinacia oleracea L., 2n = 2x = 12) is an economically important vegetable crop worldwide and one of the healthiest vegetables due to its high concentrations of nutrients and minerals. The objective of this research was to conduct genetic diversity and population structure analysis of a collection of world-wide spinach genotypes using single nucleotide polymorphisms (SNPs) markers. Genotyping by sequencing (GBS) was used to discover SNPs in spinach genotypes. Three sets of spinach genotypes were used: 1) 268 USDA GRIN spinach germplasm accessions originally collected from 30 countries; 2) 45 commercial spinach F1 hybrids from three countries; and 3) 30 US Arkansas spinach cultivars/breeding lines. The results from this study indicated that there was genetic diversity among the 343 spinach genotypes tested. Furthermore, the genetic background in improved commercial F1 hybrids and in Arkansas cultivars/lines had a different structured populations from the USDA germplasm. In addition, the genetic diversity and population structures were associated with geographic origin and germplasm from the US Arkansas breeding program had a unique genetic background. These data could provide genetic diversity information and the molecular markers for selecting parents in spinach breeding programs.
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spelling pubmed-57086632017-12-15 Genetic diversity and population structure analysis of spinach by single-nucleotide polymorphisms identified through genotyping-by-sequencing Shi, Ainong Qin, Jun Mou, Beiquan Correll, James Weng, Yuejin Brenner, David Feng, Chunda Motes, Dennis Yang, Wei Dong, Lingdi Bhattarai, Gehendra Ravelombola, Waltram PLoS One Research Article Spinach (Spinacia oleracea L., 2n = 2x = 12) is an economically important vegetable crop worldwide and one of the healthiest vegetables due to its high concentrations of nutrients and minerals. The objective of this research was to conduct genetic diversity and population structure analysis of a collection of world-wide spinach genotypes using single nucleotide polymorphisms (SNPs) markers. Genotyping by sequencing (GBS) was used to discover SNPs in spinach genotypes. Three sets of spinach genotypes were used: 1) 268 USDA GRIN spinach germplasm accessions originally collected from 30 countries; 2) 45 commercial spinach F1 hybrids from three countries; and 3) 30 US Arkansas spinach cultivars/breeding lines. The results from this study indicated that there was genetic diversity among the 343 spinach genotypes tested. Furthermore, the genetic background in improved commercial F1 hybrids and in Arkansas cultivars/lines had a different structured populations from the USDA germplasm. In addition, the genetic diversity and population structures were associated with geographic origin and germplasm from the US Arkansas breeding program had a unique genetic background. These data could provide genetic diversity information and the molecular markers for selecting parents in spinach breeding programs. Public Library of Science 2017-11-30 /pmc/articles/PMC5708663/ /pubmed/29190770 http://dx.doi.org/10.1371/journal.pone.0188745 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Shi, Ainong
Qin, Jun
Mou, Beiquan
Correll, James
Weng, Yuejin
Brenner, David
Feng, Chunda
Motes, Dennis
Yang, Wei
Dong, Lingdi
Bhattarai, Gehendra
Ravelombola, Waltram
Genetic diversity and population structure analysis of spinach by single-nucleotide polymorphisms identified through genotyping-by-sequencing
title Genetic diversity and population structure analysis of spinach by single-nucleotide polymorphisms identified through genotyping-by-sequencing
title_full Genetic diversity and population structure analysis of spinach by single-nucleotide polymorphisms identified through genotyping-by-sequencing
title_fullStr Genetic diversity and population structure analysis of spinach by single-nucleotide polymorphisms identified through genotyping-by-sequencing
title_full_unstemmed Genetic diversity and population structure analysis of spinach by single-nucleotide polymorphisms identified through genotyping-by-sequencing
title_short Genetic diversity and population structure analysis of spinach by single-nucleotide polymorphisms identified through genotyping-by-sequencing
title_sort genetic diversity and population structure analysis of spinach by single-nucleotide polymorphisms identified through genotyping-by-sequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5708663/
https://www.ncbi.nlm.nih.gov/pubmed/29190770
http://dx.doi.org/10.1371/journal.pone.0188745
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