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Highly multiplexed AmpliSeq technology identifies novel variation of flowering time-related genes in soybean (Glycine max)
Whole-genome re-sequencing is a powerful approach to detect gene variants, but it is expensive to analyse only the target genes. To circumvent this problem, we attempted to detect novel variants of flowering time-related genes and their homologues in soybean mini-core collection by target re-sequenc...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6589554/ https://www.ncbi.nlm.nih.gov/pubmed/31231761 http://dx.doi.org/10.1093/dnares/dsz005 |
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author | Ogiso-Tanaka, Eri Shimizu, Takehiko Hajika, Makita Kaga, Akito Ishimoto, Masao |
author_facet | Ogiso-Tanaka, Eri Shimizu, Takehiko Hajika, Makita Kaga, Akito Ishimoto, Masao |
author_sort | Ogiso-Tanaka, Eri |
collection | PubMed |
description | Whole-genome re-sequencing is a powerful approach to detect gene variants, but it is expensive to analyse only the target genes. To circumvent this problem, we attempted to detect novel variants of flowering time-related genes and their homologues in soybean mini-core collection by target re-sequencing using AmpliSeq technology. The average depth of 382 amplicons targeting 29 genes was 1,237 with 99.85% of the sequence data mapped to the reference genome. Totally, 461 variants were detected, of which 150 sites were novel and not registered in dbSNP. Known and novel variants were detected in the classical maturity loci—E1, E2, E3, and E4. Additionally, large indel alleles, E1-nl and E3-tr, were successfully identified. Novel loss-of-function and missense variants were found in FT2a, MADS-box, WDR61, phytochromes, and two-component response regulators. The multiple regression analysis showed that four genes—E2, E3, Dt1, and two-component response regulator—can explain 51.1–52.3% of the variation in flowering time of the mini-core collection. Among them, the two-component response regulator with a premature stop codon is a novel gene that has not been reported as a soybean flowering time-related gene. These data suggest that the AmpliSeq technology is a powerful tool to identify novel alleles. |
format | Online Article Text |
id | pubmed-6589554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-65895542019-06-27 Highly multiplexed AmpliSeq technology identifies novel variation of flowering time-related genes in soybean (Glycine max) Ogiso-Tanaka, Eri Shimizu, Takehiko Hajika, Makita Kaga, Akito Ishimoto, Masao DNA Res Full Papers Whole-genome re-sequencing is a powerful approach to detect gene variants, but it is expensive to analyse only the target genes. To circumvent this problem, we attempted to detect novel variants of flowering time-related genes and their homologues in soybean mini-core collection by target re-sequencing using AmpliSeq technology. The average depth of 382 amplicons targeting 29 genes was 1,237 with 99.85% of the sequence data mapped to the reference genome. Totally, 461 variants were detected, of which 150 sites were novel and not registered in dbSNP. Known and novel variants were detected in the classical maturity loci—E1, E2, E3, and E4. Additionally, large indel alleles, E1-nl and E3-tr, were successfully identified. Novel loss-of-function and missense variants were found in FT2a, MADS-box, WDR61, phytochromes, and two-component response regulators. The multiple regression analysis showed that four genes—E2, E3, Dt1, and two-component response regulator—can explain 51.1–52.3% of the variation in flowering time of the mini-core collection. Among them, the two-component response regulator with a premature stop codon is a novel gene that has not been reported as a soybean flowering time-related gene. These data suggest that the AmpliSeq technology is a powerful tool to identify novel alleles. Oxford University Press 2019-06 2019-04-16 /pmc/articles/PMC6589554/ /pubmed/31231761 http://dx.doi.org/10.1093/dnares/dsz005 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Kazusa DNA Research Institute. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Full Papers Ogiso-Tanaka, Eri Shimizu, Takehiko Hajika, Makita Kaga, Akito Ishimoto, Masao Highly multiplexed AmpliSeq technology identifies novel variation of flowering time-related genes in soybean (Glycine max) |
title | Highly multiplexed AmpliSeq technology identifies novel variation of flowering time-related genes in soybean (Glycine max) |
title_full | Highly multiplexed AmpliSeq technology identifies novel variation of flowering time-related genes in soybean (Glycine max) |
title_fullStr | Highly multiplexed AmpliSeq technology identifies novel variation of flowering time-related genes in soybean (Glycine max) |
title_full_unstemmed | Highly multiplexed AmpliSeq technology identifies novel variation of flowering time-related genes in soybean (Glycine max) |
title_short | Highly multiplexed AmpliSeq technology identifies novel variation of flowering time-related genes in soybean (Glycine max) |
title_sort | highly multiplexed ampliseq technology identifies novel variation of flowering time-related genes in soybean (glycine max) |
topic | Full Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6589554/ https://www.ncbi.nlm.nih.gov/pubmed/31231761 http://dx.doi.org/10.1093/dnares/dsz005 |
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