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Dissecting Quantitative Trait Loci for Boron Efficiency across Multiple Environments in Brassica napus
High yield is the most important goal in crop breeding, and boron (B) is an essential micronutrient for plants. However, B deficiency, leading to yield decreases, is an agricultural problem worldwide. Brassica napus is one of the most sensitive crops to B deficiency, and considerable genotypic varia...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3454432/ https://www.ncbi.nlm.nih.gov/pubmed/23028855 http://dx.doi.org/10.1371/journal.pone.0045215 |
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author | Zhao, Zunkang Wu, Likun Nian, Fuzhao Ding, Guangda Shi, Taoxiong Zhang, Didi Shi, Lei Xu, Fangsen Meng, Jinling |
author_facet | Zhao, Zunkang Wu, Likun Nian, Fuzhao Ding, Guangda Shi, Taoxiong Zhang, Didi Shi, Lei Xu, Fangsen Meng, Jinling |
author_sort | Zhao, Zunkang |
collection | PubMed |
description | High yield is the most important goal in crop breeding, and boron (B) is an essential micronutrient for plants. However, B deficiency, leading to yield decreases, is an agricultural problem worldwide. Brassica napus is one of the most sensitive crops to B deficiency, and considerable genotypic variation exists among different cultivars in response to B deficiency. To dissect the genetic basis of tolerance to B deficiency in B. napus, we carried out QTL analysis for seed yield and yield-related traits under low and normal B conditions using the double haploid population (TNDH) by two-year and the BQDH population by three-year field trials. In total, 80 putative QTLs and 42 epistatic interactions for seed yield, plant height, branch number, pod number, seed number, seed weight and B efficiency coefficient (BEC) were identified under low and normal B conditions, singly explaining 4.15–23.16% and 0.53–14.38% of the phenotypic variation. An additive effect of putative QTLs was a more important controlling factor than the additive-additive effect of epistatic interactions. Four QTL-by-environment interactions and 7 interactions between epistatic interactions and the environment contributed to 1.27–4.95% and 1.17–3.68% of the phenotypic variation, respectively. The chromosome region on A2 of SYLB-A2 for seed yield under low B condition and BEC-A2 for BEC in the two populations was equivalent to the region of a reported major QTL, BE1. The B. napus homologous genes of Bra020592 and Bra020595 mapped to the A2 region and were speculated to be candidate genes for B efficiency. These findings reveal the complex genetic basis of B efficiency in B. napus. They provide a basis for the fine mapping and cloning of the B efficiency genes and for breeding B-efficient cultivars by marker-assisted selection (MAS). |
format | Online Article Text |
id | pubmed-3454432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34544322012-10-01 Dissecting Quantitative Trait Loci for Boron Efficiency across Multiple Environments in Brassica napus Zhao, Zunkang Wu, Likun Nian, Fuzhao Ding, Guangda Shi, Taoxiong Zhang, Didi Shi, Lei Xu, Fangsen Meng, Jinling PLoS One Research Article High yield is the most important goal in crop breeding, and boron (B) is an essential micronutrient for plants. However, B deficiency, leading to yield decreases, is an agricultural problem worldwide. Brassica napus is one of the most sensitive crops to B deficiency, and considerable genotypic variation exists among different cultivars in response to B deficiency. To dissect the genetic basis of tolerance to B deficiency in B. napus, we carried out QTL analysis for seed yield and yield-related traits under low and normal B conditions using the double haploid population (TNDH) by two-year and the BQDH population by three-year field trials. In total, 80 putative QTLs and 42 epistatic interactions for seed yield, plant height, branch number, pod number, seed number, seed weight and B efficiency coefficient (BEC) were identified under low and normal B conditions, singly explaining 4.15–23.16% and 0.53–14.38% of the phenotypic variation. An additive effect of putative QTLs was a more important controlling factor than the additive-additive effect of epistatic interactions. Four QTL-by-environment interactions and 7 interactions between epistatic interactions and the environment contributed to 1.27–4.95% and 1.17–3.68% of the phenotypic variation, respectively. The chromosome region on A2 of SYLB-A2 for seed yield under low B condition and BEC-A2 for BEC in the two populations was equivalent to the region of a reported major QTL, BE1. The B. napus homologous genes of Bra020592 and Bra020595 mapped to the A2 region and were speculated to be candidate genes for B efficiency. These findings reveal the complex genetic basis of B efficiency in B. napus. They provide a basis for the fine mapping and cloning of the B efficiency genes and for breeding B-efficient cultivars by marker-assisted selection (MAS). Public Library of Science 2012-09-24 /pmc/articles/PMC3454432/ /pubmed/23028855 http://dx.doi.org/10.1371/journal.pone.0045215 Text en © 2012 Zhao 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Zhao, Zunkang Wu, Likun Nian, Fuzhao Ding, Guangda Shi, Taoxiong Zhang, Didi Shi, Lei Xu, Fangsen Meng, Jinling Dissecting Quantitative Trait Loci for Boron Efficiency across Multiple Environments in Brassica napus |
title | Dissecting Quantitative Trait Loci for Boron Efficiency across Multiple Environments in Brassica napus
|
title_full | Dissecting Quantitative Trait Loci for Boron Efficiency across Multiple Environments in Brassica napus
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title_fullStr | Dissecting Quantitative Trait Loci for Boron Efficiency across Multiple Environments in Brassica napus
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title_full_unstemmed | Dissecting Quantitative Trait Loci for Boron Efficiency across Multiple Environments in Brassica napus
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title_short | Dissecting Quantitative Trait Loci for Boron Efficiency across Multiple Environments in Brassica napus
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title_sort | dissecting quantitative trait loci for boron efficiency across multiple environments in brassica napus |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3454432/ https://www.ncbi.nlm.nih.gov/pubmed/23028855 http://dx.doi.org/10.1371/journal.pone.0045215 |
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