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Variation block-based genomics method for crop plants

BACKGROUND: In contrast with wild species, cultivated crop genomes consist of reshuffled recombination blocks, which occurred by crossing and selection processes. Accordingly, recombination block-based genomics analysis can be an effective approach for the screening of target loci for agricultural t...

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Autores principales: Kim, Yul Ho, Park, Hyang Mi, Hwang, Tae-Young, Lee, Seuk Ki, Choi, Man Soo, Jho, Sungwoong, Hwang, Seungwoo, Kim, Hak-Min, Lee, Dongwoo, Kim, Byoung-Chul, Hong, Chang Pyo, Cho, Yun Sung, Kim, Hyunmin, Jeong, Kwang Ho, Seo, Min Jung, Yun, Hong Tai, Kim, Sun Lim, Kwon, Young-Up, Kim, Wook Han, Chun, Hye Kyung, Lim, Sang Jong, Shin, Young-Ah, Choi, Ik-Young, Kim, Young Sun, Yoon, Ho-Sung, Lee, Suk-Ha, Lee, Sunghoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4229737/
https://www.ncbi.nlm.nih.gov/pubmed/24929792
http://dx.doi.org/10.1186/1471-2164-15-477
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author Kim, Yul Ho
Park, Hyang Mi
Hwang, Tae-Young
Lee, Seuk Ki
Choi, Man Soo
Jho, Sungwoong
Hwang, Seungwoo
Kim, Hak-Min
Lee, Dongwoo
Kim, Byoung-Chul
Hong, Chang Pyo
Cho, Yun Sung
Kim, Hyunmin
Jeong, Kwang Ho
Seo, Min Jung
Yun, Hong Tai
Kim, Sun Lim
Kwon, Young-Up
Kim, Wook Han
Chun, Hye Kyung
Lim, Sang Jong
Shin, Young-Ah
Choi, Ik-Young
Kim, Young Sun
Yoon, Ho-Sung
Lee, Suk-Ha
Lee, Sunghoon
author_facet Kim, Yul Ho
Park, Hyang Mi
Hwang, Tae-Young
Lee, Seuk Ki
Choi, Man Soo
Jho, Sungwoong
Hwang, Seungwoo
Kim, Hak-Min
Lee, Dongwoo
Kim, Byoung-Chul
Hong, Chang Pyo
Cho, Yun Sung
Kim, Hyunmin
Jeong, Kwang Ho
Seo, Min Jung
Yun, Hong Tai
Kim, Sun Lim
Kwon, Young-Up
Kim, Wook Han
Chun, Hye Kyung
Lim, Sang Jong
Shin, Young-Ah
Choi, Ik-Young
Kim, Young Sun
Yoon, Ho-Sung
Lee, Suk-Ha
Lee, Sunghoon
author_sort Kim, Yul Ho
collection PubMed
description BACKGROUND: In contrast with wild species, cultivated crop genomes consist of reshuffled recombination blocks, which occurred by crossing and selection processes. Accordingly, recombination block-based genomics analysis can be an effective approach for the screening of target loci for agricultural traits. RESULTS: We propose the variation block method, which is a three-step process for recombination block detection and comparison. The first step is to detect variations by comparing the short-read DNA sequences of the cultivar to the reference genome of the target crop. Next, sequence blocks with variation patterns are examined and defined. The boundaries between the variation-containing sequence blocks are regarded as recombination sites. All the assumed recombination sites in the cultivar set are used to split the genomes, and the resulting sequence regions are termed variation blocks. Finally, the genomes are compared using the variation blocks. The variation block method identified recurring recombination blocks accurately and successfully represented block-level diversities in the publicly available genomes of 31 soybean and 23 rice accessions. The practicality of this approach was demonstrated by the identification of a putative locus determining soybean hilum color. CONCLUSIONS: We suggest that the variation block method is an efficient genomics method for the recombination block-level comparison of crop genomes. We expect that this method will facilitate the development of crop genomics by bringing genomics technologies to the field of crop breeding.
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spelling pubmed-42297372014-11-14 Variation block-based genomics method for crop plants Kim, Yul Ho Park, Hyang Mi Hwang, Tae-Young Lee, Seuk Ki Choi, Man Soo Jho, Sungwoong Hwang, Seungwoo Kim, Hak-Min Lee, Dongwoo Kim, Byoung-Chul Hong, Chang Pyo Cho, Yun Sung Kim, Hyunmin Jeong, Kwang Ho Seo, Min Jung Yun, Hong Tai Kim, Sun Lim Kwon, Young-Up Kim, Wook Han Chun, Hye Kyung Lim, Sang Jong Shin, Young-Ah Choi, Ik-Young Kim, Young Sun Yoon, Ho-Sung Lee, Suk-Ha Lee, Sunghoon BMC Genomics Methodology Article BACKGROUND: In contrast with wild species, cultivated crop genomes consist of reshuffled recombination blocks, which occurred by crossing and selection processes. Accordingly, recombination block-based genomics analysis can be an effective approach for the screening of target loci for agricultural traits. RESULTS: We propose the variation block method, which is a three-step process for recombination block detection and comparison. The first step is to detect variations by comparing the short-read DNA sequences of the cultivar to the reference genome of the target crop. Next, sequence blocks with variation patterns are examined and defined. The boundaries between the variation-containing sequence blocks are regarded as recombination sites. All the assumed recombination sites in the cultivar set are used to split the genomes, and the resulting sequence regions are termed variation blocks. Finally, the genomes are compared using the variation blocks. The variation block method identified recurring recombination blocks accurately and successfully represented block-level diversities in the publicly available genomes of 31 soybean and 23 rice accessions. The practicality of this approach was demonstrated by the identification of a putative locus determining soybean hilum color. CONCLUSIONS: We suggest that the variation block method is an efficient genomics method for the recombination block-level comparison of crop genomes. We expect that this method will facilitate the development of crop genomics by bringing genomics technologies to the field of crop breeding. BioMed Central 2014-06-15 /pmc/articles/PMC4229737/ /pubmed/24929792 http://dx.doi.org/10.1186/1471-2164-15-477 Text en Copyright © 2014 Kim et al.; licensee BioMed Central Ltd. 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 work is properly credited. 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 Methodology Article
Kim, Yul Ho
Park, Hyang Mi
Hwang, Tae-Young
Lee, Seuk Ki
Choi, Man Soo
Jho, Sungwoong
Hwang, Seungwoo
Kim, Hak-Min
Lee, Dongwoo
Kim, Byoung-Chul
Hong, Chang Pyo
Cho, Yun Sung
Kim, Hyunmin
Jeong, Kwang Ho
Seo, Min Jung
Yun, Hong Tai
Kim, Sun Lim
Kwon, Young-Up
Kim, Wook Han
Chun, Hye Kyung
Lim, Sang Jong
Shin, Young-Ah
Choi, Ik-Young
Kim, Young Sun
Yoon, Ho-Sung
Lee, Suk-Ha
Lee, Sunghoon
Variation block-based genomics method for crop plants
title Variation block-based genomics method for crop plants
title_full Variation block-based genomics method for crop plants
title_fullStr Variation block-based genomics method for crop plants
title_full_unstemmed Variation block-based genomics method for crop plants
title_short Variation block-based genomics method for crop plants
title_sort variation block-based genomics method for crop plants
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4229737/
https://www.ncbi.nlm.nih.gov/pubmed/24929792
http://dx.doi.org/10.1186/1471-2164-15-477
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