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Identification of quantitative trait loci for phosphorus use efficiency traits in rice using a high density SNP map

BACKGROUND: Soil phosphorus (P) deficiency is one of the major limiting factors to crop production. The development of crop varieties with improved P use efficiency (PUE) is an important strategy for sustainable agriculture. The objectives of this research were to identify quantitative trait loci (Q...

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Autores principales: Wang, Kai, Cui, Kehui, Liu, Guoling, Xie, Weibo, Yu, Huihui, Pan, Junfeng, Huang, Jianliang, Nie, Lixiao, Shah, Farooq, Peng, Shaobing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4311488/
https://www.ncbi.nlm.nih.gov/pubmed/25551672
http://dx.doi.org/10.1186/s12863-014-0155-y
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author Wang, Kai
Cui, Kehui
Liu, Guoling
Xie, Weibo
Yu, Huihui
Pan, Junfeng
Huang, Jianliang
Nie, Lixiao
Shah, Farooq
Peng, Shaobing
author_facet Wang, Kai
Cui, Kehui
Liu, Guoling
Xie, Weibo
Yu, Huihui
Pan, Junfeng
Huang, Jianliang
Nie, Lixiao
Shah, Farooq
Peng, Shaobing
author_sort Wang, Kai
collection PubMed
description BACKGROUND: Soil phosphorus (P) deficiency is one of the major limiting factors to crop production. The development of crop varieties with improved P use efficiency (PUE) is an important strategy for sustainable agriculture. The objectives of this research were to identify quantitative trait loci (QTLs) linked to PUE traits using a high-density single nucleotide polymorphism (SNP) map and to estimate the epistatic interactions and environmental effects in rice (Oryza sativa L.). RESULTS: We conducted a two-year field experiment under low and normal P conditions using a recombinant inbred population of rice derived from Zhenshan 97 and Minghui 63 (indica). We investigated three yield traits, biomass (BIOM), harvest index (HI), and grain yield (Yield), and eight PUE traits: total P uptake (PUP), P harvest index (PHI), grain P use efficiency (gPUE) based on P accumulation in grains, straw P use efficiency (strPUE) based on P accumulation in straw, P use efficiency for biomass (PUEb) and for grain yield (PUEg) based on P accumulation in the whole plant, P translocation (PT), and P translocation efficiency (PTE). Of the 36 QTLs and 24 epistatic interactions identified, 26 QTLs and 12 interactions were detected for PUE traits. The environment affected seven QTLs and three epistatic interactions. Four QTLs (qPHI1 and qPHI2 for PHI, qPUEg2 for PUEg, and qPTE8 for PTE) with strong effects were environmentally independent. By comparing our results with similar QTLs in previous studies, three QTLs for PUE traits (qPUP1 and qPUP10 for PUP, and qPHI6 for PHI) were found across various genetic backgrounds. Seven regions were shared by QTLs for yield and PUE traits. CONCLUSION: Most QTLs linked to PUE traits were different from those linked to yield traits, suggesting different genetic controls underlying these two traits. Those chromosomal regions with large effects that are not affected by different environments are promising for improving P use efficiency. The seven regions shared by QTLs linked to yield and PUE traits imply the possibility of the simultaneous improvement of yield and PUE traits.
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spelling pubmed-43114882015-01-31 Identification of quantitative trait loci for phosphorus use efficiency traits in rice using a high density SNP map Wang, Kai Cui, Kehui Liu, Guoling Xie, Weibo Yu, Huihui Pan, Junfeng Huang, Jianliang Nie, Lixiao Shah, Farooq Peng, Shaobing BMC Genet Research Article BACKGROUND: Soil phosphorus (P) deficiency is one of the major limiting factors to crop production. The development of crop varieties with improved P use efficiency (PUE) is an important strategy for sustainable agriculture. The objectives of this research were to identify quantitative trait loci (QTLs) linked to PUE traits using a high-density single nucleotide polymorphism (SNP) map and to estimate the epistatic interactions and environmental effects in rice (Oryza sativa L.). RESULTS: We conducted a two-year field experiment under low and normal P conditions using a recombinant inbred population of rice derived from Zhenshan 97 and Minghui 63 (indica). We investigated three yield traits, biomass (BIOM), harvest index (HI), and grain yield (Yield), and eight PUE traits: total P uptake (PUP), P harvest index (PHI), grain P use efficiency (gPUE) based on P accumulation in grains, straw P use efficiency (strPUE) based on P accumulation in straw, P use efficiency for biomass (PUEb) and for grain yield (PUEg) based on P accumulation in the whole plant, P translocation (PT), and P translocation efficiency (PTE). Of the 36 QTLs and 24 epistatic interactions identified, 26 QTLs and 12 interactions were detected for PUE traits. The environment affected seven QTLs and three epistatic interactions. Four QTLs (qPHI1 and qPHI2 for PHI, qPUEg2 for PUEg, and qPTE8 for PTE) with strong effects were environmentally independent. By comparing our results with similar QTLs in previous studies, three QTLs for PUE traits (qPUP1 and qPUP10 for PUP, and qPHI6 for PHI) were found across various genetic backgrounds. Seven regions were shared by QTLs for yield and PUE traits. CONCLUSION: Most QTLs linked to PUE traits were different from those linked to yield traits, suggesting different genetic controls underlying these two traits. Those chromosomal regions with large effects that are not affected by different environments are promising for improving P use efficiency. The seven regions shared by QTLs linked to yield and PUE traits imply the possibility of the simultaneous improvement of yield and PUE traits. BioMed Central 2014-12-31 /pmc/articles/PMC4311488/ /pubmed/25551672 http://dx.doi.org/10.1186/s12863-014-0155-y Text en © Wang et al.; licensee Biomed Central. 2014 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 Research Article
Wang, Kai
Cui, Kehui
Liu, Guoling
Xie, Weibo
Yu, Huihui
Pan, Junfeng
Huang, Jianliang
Nie, Lixiao
Shah, Farooq
Peng, Shaobing
Identification of quantitative trait loci for phosphorus use efficiency traits in rice using a high density SNP map
title Identification of quantitative trait loci for phosphorus use efficiency traits in rice using a high density SNP map
title_full Identification of quantitative trait loci for phosphorus use efficiency traits in rice using a high density SNP map
title_fullStr Identification of quantitative trait loci for phosphorus use efficiency traits in rice using a high density SNP map
title_full_unstemmed Identification of quantitative trait loci for phosphorus use efficiency traits in rice using a high density SNP map
title_short Identification of quantitative trait loci for phosphorus use efficiency traits in rice using a high density SNP map
title_sort identification of quantitative trait loci for phosphorus use efficiency traits in rice using a high density snp map
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4311488/
https://www.ncbi.nlm.nih.gov/pubmed/25551672
http://dx.doi.org/10.1186/s12863-014-0155-y
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