Literature DB >> 33268928

A genome-wide association study reveals the quantitative trait locus and candidate genes that regulate phosphate efficiency in a Vietnamese rice collection.

Huong Thi Mai To1, Khang Quoc Le1, Hiep Van Nguyen1, Linh Viet Duong1, Hanh Thi Kieu1, Quynh Anh Thi Chu1, Trang Phuong Tran1, Nga T P Mai1.   

Abstract

The crucial role of phosphate (Pi) for plant alongside the expected depletion of non-renewable phosphate rock have created an urgent need for phosphate-efficient rice varieties. In this study, 157 greenhouse-grown Vietnamese rice landraces were treated under Pi-deficient conditions to discover the genotypic variation among biochemical traits, including relative efficiency of phosphorus use (REP), relative root to shoot weight ratio (RRSR), relative physiological phosphate use efficiency (RPPUE), and relative phosphate uptake efficiency (RPUpE). Plants were grown in Yoshida nutrient media with either a full (320 μM) or a low Pi supply (10 μM) over six weeks. This genome-wide association study led to the discovery of 31 significant single nucleotide polymorphisms, 18 quantitative trait loci (QTLs), and 85 candidate genes. A common QTL named qRPUUE9.16 was found among the three investigated traits. Some interesting candidate genes, such as PLASMA MEMBRANE PROTEIN1 (OsPM1), CALMODULIN-RELATED CALCIUM SENSOR PROTEIN 15 (OsCML15), phosphatases 2C (PP2C), STRESS-ACTIVATED PROTEIN KINASE (OsSAPK2), and GLYCEROPHOSPHORYL DIESTER PHOSPHODIESTERASES (GDPD13), were found strongly correlated to the Pi starvation. RNA sequencing transcriptomes revealed that 45 out of 85 candidate genes were significantly regulated under Pi starvation. Furthermore, nearly two-thirds of genotypes did not possess the OsPsTOL1 gene; however, no significant difference was observed in response to Pi deficiency between genotypes with or without this gene, suggesting that other QTLs in rice may resist Pi starvation. These results provide new information on the genetics of nutrient use efficiency in rice and may potentially assist with developing more phosphate-efficient rice plants. © Prof. H.S. Srivastava Foundation for Science and Society 2020.

Entities:  

Keywords:  Genome-wide association study; Oryza sativa; Phosphate starvation; Phosphate uptake efficiency; Phosphate use efficiency

Year:  2020        PMID: 33268928      PMCID: PMC7688854          DOI: 10.1007/s12298-020-00902-2

Source DB:  PubMed          Journal:  Physiol Mol Biol Plants        ISSN: 0974-0430


  68 in total

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3.  A genome-wide transcriptional analysis using Arabidopsis thaliana Affymetrix gene chips determined plant responses to phosphate deprivation.

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Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-05       Impact factor: 11.205

4.  TaPht1;4, a high-affinity phosphate transporter gene in wheat (Triticum aestivum), plays an important role in plant phosphate acquisition under phosphorus deprivation.

Authors:  Xiaoman Liu; Xiaolei Zhao; Lijun Zhang; Wenjing Lu; Xiaojuan Li; Kai Xiao
Journal:  Funct Plant Biol       Date:  2013-05       Impact factor: 3.101

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Journal:  FEBS J       Date:  2014-01-15       Impact factor: 5.542

6.  Unmasking Novel Loci for Internal Phosphorus Utilization Efficiency in Rice Germplasm through Genome-Wide Association Analysis.

Authors:  Matthias Wissuwa; Katsuhiko Kondo; Takuya Fukuda; Asako Mori; Michael T Rose; Juan Pariasca-Tanaka; Tobias Kretzschmar; Stephan M Haefele; Terry J Rose
Journal:  PLoS One       Date:  2015-04-29       Impact factor: 3.240

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Authors:  Cynthia C Vigueira; Linda L Small; Kenneth M Olsen
Journal:  BMC Plant Biol       Date:  2016-04-22       Impact factor: 4.215

8.  Complex molecular mechanisms underlying seedling salt tolerance in rice revealed by comparative transcriptome and metabolomic profiling.

Authors:  Wen-Sheng Wang; Xiu-Qin Zhao; Min Li; Li-Yu Huang; Jian-Long Xu; Fan Zhang; Yan-Ru Cui; Bin-Ying Fu; Zhi-Kang Li
Journal:  J Exp Bot       Date:  2015-10-27       Impact factor: 6.992

9.  The Rice Phosphate Transporter Protein OsPT8 Regulates Disease Resistance and Plant Growth.

Authors:  Zheng Dong; Wei Li; Jing Liu; Lihua Li; Sujun Pan; Saijun Liu; Jia Gao; Ling Liu; Xionglun Liu; Guo-Liang Wang; Liangying Dai
Journal:  Sci Rep       Date:  2019-04-01       Impact factor: 4.379

10.  SAPK2 contributes to rice yield by modulating nitrogen metabolic processes under reproductive stage drought stress.

Authors:  Dengji Lou; Zhen Chen; Diqiu Yu; Xiaoyan Yang
Journal:  Rice (N Y)       Date:  2020-06-08       Impact factor: 4.783

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  4 in total

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Authors:  Lauren Hibbert; Gail Taylor
Journal:  Hortic Res       Date:  2022-02-11       Impact factor: 7.291

2.  Genomic regions and candidate genes selected during the breeding of rice in Vietnam.

Authors:  Janet Higgins; Bruno Santos; Tran Dang Khanh; Khuat Huu Trung; Tran Duy Duong; Nguyen Thi Phuong Doai; Anthony Hall; Sarah Dyer; Le Huy Ham; Mario Caccamo; Jose De Vega
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3.  Deep polygenic neural network for predicting and identifying yield-associated genes in Indonesian rice accessions.

Authors:  Nicholas Dominic; Tjeng Wawan Cenggoro; Arif Budiarto; Bens Pardamean
Journal:  Sci Rep       Date:  2022-08-15       Impact factor: 4.996

4.  Resequencing of 672 Native Rice Accessions to Explore Genetic Diversity and Trait Associations in Vietnam.

Authors:  Janet Higgins; Bruno Santos; Tran Dang Khanh; Khuat Huu Trung; Tran Duy Duong; Nguyen Thi Phuong Doai; Nguyen Truong Khoa; Dang Thi Thanh Ha; Nguyen Thuy Diep; Kieu Thi Dung; Cong Nguyen Phi; Tran Thi Thuy; Nguyen Thanh Tuan; Hoang Dung Tran; Nguyen Thanh Trung; Hoang Thi Giang; Ta Kim Nhung; Cuong Duy Tran; Son Vi Lang; La Tuan Nghia; Nguyen Van Giang; Tran Dang Xuan; Anthony Hall; Sarah Dyer; Le Huy Ham; Mario Caccamo; Jose J De Vega
Journal:  Rice (N Y)       Date:  2021-06-10       Impact factor: 4.783

  4 in total

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