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

Overview of attention for article published in BMC Genomic Data, December 2014
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Title
Identification of quantitative trait loci for phosphorus use efficiency traits in rice using a high density SNP map
Published in
BMC Genomic Data, December 2014
DOI 10.1186/s12863-014-0155-y
Pubmed ID
Authors

Kai Wang, Kehui Cui, Guoling Liu, Weibo Xie, Huihui Yu, Junfeng Pan, Jianliang Huang, Lixiao Nie, Farooq Shah, Shaobing Peng

Abstract

BackgroundSoil 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.).ResultsWe 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.ConclusionMost 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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Geographical breakdown

Country Count As %
Indonesia 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 27%
Student > Ph. D. Student 10 17%
Student > Master 8 13%
Lecturer 3 5%
Other 2 3%
Other 7 12%
Unknown 14 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 50%
Biochemistry, Genetics and Molecular Biology 5 8%
Unspecified 2 3%
Environmental Science 2 3%
Computer Science 1 2%
Other 1 2%
Unknown 19 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 January 2015.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from BMC Genomic Data
#786
of 1,204 outputs
Outputs of similar age
#252,093
of 359,112 outputs
Outputs of similar age from BMC Genomic Data
#25
of 43 outputs
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