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Analyses of single nucleotide polymorphisms identified by ddRAD-seq reveal genetic structure of tea germplasm and Japanese landraces for tea breeding

To obtain genetic information about the germplasm of tea (Camellia sinensis L.) in Japan, 167 accessions including 138 var. sinensis (96 Japanese var. sinensis and 42 exotic var. sinensis) and 29 Assam hybrids were analyzed using single nucleotide polymorphisms (SNPs) markers identified by double-di...

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Autores principales: Yamashita, Hiroto, Katai, Hideyuki, Kawaguchi, Lina, Nagano, Atsushi J., Nakamura, Yoriyuki, Morita, Akio, Ikka, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6687169/
https://www.ncbi.nlm.nih.gov/pubmed/31393947
http://dx.doi.org/10.1371/journal.pone.0220981
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author Yamashita, Hiroto
Katai, Hideyuki
Kawaguchi, Lina
Nagano, Atsushi J.
Nakamura, Yoriyuki
Morita, Akio
Ikka, Takashi
author_facet Yamashita, Hiroto
Katai, Hideyuki
Kawaguchi, Lina
Nagano, Atsushi J.
Nakamura, Yoriyuki
Morita, Akio
Ikka, Takashi
author_sort Yamashita, Hiroto
collection PubMed
description To obtain genetic information about the germplasm of tea (Camellia sinensis L.) in Japan, 167 accessions including 138 var. sinensis (96 Japanese var. sinensis and 42 exotic var. sinensis) and 29 Assam hybrids were analyzed using single nucleotide polymorphisms (SNPs) markers identified by double-digest restriction-site-associated DNA sequencing (ddRAD-seq) analysis. Approximately 10,000 SNPs were identified by ddRAD-seq and were mapped across the whole genome. The 167 tea accessions were classified into three genetic subgroups: (1) Japanese var. sinensis; (2) Japanese and exotic var. sinensis; (3) Assam hybrids and exotic var. sinensis. Leaf morphology varied widely within each genetic subgroups. The 96 Japanese var. sinensis were classified into four genetic subgroups as follows; two subgroups of Shizuoka (the largest tea production region) landraces, Uji (most ancient tea production region) landraces, and the pedigree of ‘Yabukita’, the leading green tea cultivar in Japan. These results indicated that the SNP markers obtained from ddRAD-seq are a useful tool to investigate the geographical background and breeding history of Japanese tea. This genetic information revealed the ancestral admixture situation of the ‘Yabukita’ pedigree, and showed that the genome structure of ‘Yabukita’ is clearly different from those of other Japanese accessions.
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spelling pubmed-66871692019-08-15 Analyses of single nucleotide polymorphisms identified by ddRAD-seq reveal genetic structure of tea germplasm and Japanese landraces for tea breeding Yamashita, Hiroto Katai, Hideyuki Kawaguchi, Lina Nagano, Atsushi J. Nakamura, Yoriyuki Morita, Akio Ikka, Takashi PLoS One Research Article To obtain genetic information about the germplasm of tea (Camellia sinensis L.) in Japan, 167 accessions including 138 var. sinensis (96 Japanese var. sinensis and 42 exotic var. sinensis) and 29 Assam hybrids were analyzed using single nucleotide polymorphisms (SNPs) markers identified by double-digest restriction-site-associated DNA sequencing (ddRAD-seq) analysis. Approximately 10,000 SNPs were identified by ddRAD-seq and were mapped across the whole genome. The 167 tea accessions were classified into three genetic subgroups: (1) Japanese var. sinensis; (2) Japanese and exotic var. sinensis; (3) Assam hybrids and exotic var. sinensis. Leaf morphology varied widely within each genetic subgroups. The 96 Japanese var. sinensis were classified into four genetic subgroups as follows; two subgroups of Shizuoka (the largest tea production region) landraces, Uji (most ancient tea production region) landraces, and the pedigree of ‘Yabukita’, the leading green tea cultivar in Japan. These results indicated that the SNP markers obtained from ddRAD-seq are a useful tool to investigate the geographical background and breeding history of Japanese tea. This genetic information revealed the ancestral admixture situation of the ‘Yabukita’ pedigree, and showed that the genome structure of ‘Yabukita’ is clearly different from those of other Japanese accessions. Public Library of Science 2019-08-08 /pmc/articles/PMC6687169/ /pubmed/31393947 http://dx.doi.org/10.1371/journal.pone.0220981 Text en © 2019 Yamashita et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yamashita, Hiroto
Katai, Hideyuki
Kawaguchi, Lina
Nagano, Atsushi J.
Nakamura, Yoriyuki
Morita, Akio
Ikka, Takashi
Analyses of single nucleotide polymorphisms identified by ddRAD-seq reveal genetic structure of tea germplasm and Japanese landraces for tea breeding
title Analyses of single nucleotide polymorphisms identified by ddRAD-seq reveal genetic structure of tea germplasm and Japanese landraces for tea breeding
title_full Analyses of single nucleotide polymorphisms identified by ddRAD-seq reveal genetic structure of tea germplasm and Japanese landraces for tea breeding
title_fullStr Analyses of single nucleotide polymorphisms identified by ddRAD-seq reveal genetic structure of tea germplasm and Japanese landraces for tea breeding
title_full_unstemmed Analyses of single nucleotide polymorphisms identified by ddRAD-seq reveal genetic structure of tea germplasm and Japanese landraces for tea breeding
title_short Analyses of single nucleotide polymorphisms identified by ddRAD-seq reveal genetic structure of tea germplasm and Japanese landraces for tea breeding
title_sort analyses of single nucleotide polymorphisms identified by ddrad-seq reveal genetic structure of tea germplasm and japanese landraces for tea breeding
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6687169/
https://www.ncbi.nlm.nih.gov/pubmed/31393947
http://dx.doi.org/10.1371/journal.pone.0220981
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