Mining candidate gene for rice aluminum tolerance through genome wide association study and transcriptomic analysis

Abstract Background The genetic mechanism of aluminum (Al) tolerance in rice is great complicated. Uncovering genetic mechanism of Al tolerance in rice is the premise for Al tolerance improvement. Mining elite genes within rice landrace is of importance for improvement of Al tolerance in rice. Resul...

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Main Authors: Peng Zhang, Kaizhen Zhong, Zhengzheng Zhong, Hanhua Tong
Format: Article
Language:English
Published: BMC 2019-11-01
Series:BMC Plant Biology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12870-019-2036-z
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spelling doaj-80c553facff2470292802b78cfbc06932020-11-25T04:09:15ZengBMCBMC Plant Biology1471-22292019-11-0119111010.1186/s12870-019-2036-zMining candidate gene for rice aluminum tolerance through genome wide association study and transcriptomic analysisPeng Zhang0Kaizhen Zhong1Zhengzheng Zhong2Hanhua Tong3State Key Laboratory of Rice Biology, China National Rice Research InstituteState Key Laboratory of Rice Biology, China National Rice Research InstituteState Key Laboratory of Rice Biology, China National Rice Research InstituteState Key Laboratory of Rice Biology, China National Rice Research InstituteAbstract Background The genetic mechanism of aluminum (Al) tolerance in rice is great complicated. Uncovering genetic mechanism of Al tolerance in rice is the premise for Al tolerance improvement. Mining elite genes within rice landrace is of importance for improvement of Al tolerance in rice. Results Genome-wide association study (GWAS) performed in EMMAX for rice Al tolerance was carried out using 150 varieties of Ting’s core collection constructed from 2262 Ting’s collections with more than 3.8 million SNPs. Within Ting’s core collection of clear population structure and kinship relatedness as well as high rate of linkage disequilibrium (LD) decay, 17 genes relating to rice Al tolerance including cloned genes like NRAT1, ART1 and STAR1 were identified in this study. Moreover, 13 new candidate regions with high LD and 69 new candidate genes were detected. Furthermore, 20 of 69 new candidate genes were detected with significant difference between Al treatment and without Al toxicity by transcriptome sequencing. Interestingly, both qRT-PCR and sequence analysis in CDS region demonstrated that the candidate genes in present study might play important roles in rice Al tolerance. Conclusions The present study provided important information for further using these elite genes existing in Ting’s core collection for improvement of rice Al tolerance.http://link.springer.com/article/10.1186/s12870-019-2036-zRice aluminum toleranceCandidate geneGenome wide association studyTranscriptomic analysis
collection DOAJ
language English
format Article
sources DOAJ
author Peng Zhang
Kaizhen Zhong
Zhengzheng Zhong
Hanhua Tong
spellingShingle Peng Zhang
Kaizhen Zhong
Zhengzheng Zhong
Hanhua Tong
Mining candidate gene for rice aluminum tolerance through genome wide association study and transcriptomic analysis
BMC Plant Biology
Rice aluminum tolerance
Candidate gene
Genome wide association study
Transcriptomic analysis
author_facet Peng Zhang
Kaizhen Zhong
Zhengzheng Zhong
Hanhua Tong
author_sort Peng Zhang
title Mining candidate gene for rice aluminum tolerance through genome wide association study and transcriptomic analysis
title_short Mining candidate gene for rice aluminum tolerance through genome wide association study and transcriptomic analysis
title_full Mining candidate gene for rice aluminum tolerance through genome wide association study and transcriptomic analysis
title_fullStr Mining candidate gene for rice aluminum tolerance through genome wide association study and transcriptomic analysis
title_full_unstemmed Mining candidate gene for rice aluminum tolerance through genome wide association study and transcriptomic analysis
title_sort mining candidate gene for rice aluminum tolerance through genome wide association study and transcriptomic analysis
publisher BMC
series BMC Plant Biology
issn 1471-2229
publishDate 2019-11-01
description Abstract Background The genetic mechanism of aluminum (Al) tolerance in rice is great complicated. Uncovering genetic mechanism of Al tolerance in rice is the premise for Al tolerance improvement. Mining elite genes within rice landrace is of importance for improvement of Al tolerance in rice. Results Genome-wide association study (GWAS) performed in EMMAX for rice Al tolerance was carried out using 150 varieties of Ting’s core collection constructed from 2262 Ting’s collections with more than 3.8 million SNPs. Within Ting’s core collection of clear population structure and kinship relatedness as well as high rate of linkage disequilibrium (LD) decay, 17 genes relating to rice Al tolerance including cloned genes like NRAT1, ART1 and STAR1 were identified in this study. Moreover, 13 new candidate regions with high LD and 69 new candidate genes were detected. Furthermore, 20 of 69 new candidate genes were detected with significant difference between Al treatment and without Al toxicity by transcriptome sequencing. Interestingly, both qRT-PCR and sequence analysis in CDS region demonstrated that the candidate genes in present study might play important roles in rice Al tolerance. Conclusions The present study provided important information for further using these elite genes existing in Ting’s core collection for improvement of rice Al tolerance.
topic Rice aluminum tolerance
Candidate gene
Genome wide association study
Transcriptomic analysis
url http://link.springer.com/article/10.1186/s12870-019-2036-z
work_keys_str_mv AT pengzhang miningcandidategeneforricealuminumtolerancethroughgenomewideassociationstudyandtranscriptomicanalysis
AT kaizhenzhong miningcandidategeneforricealuminumtolerancethroughgenomewideassociationstudyandtranscriptomicanalysis
AT zhengzhengzhong miningcandidategeneforricealuminumtolerancethroughgenomewideassociationstudyandtranscriptomicanalysis
AT hanhuatong miningcandidategeneforricealuminumtolerancethroughgenomewideassociationstudyandtranscriptomicanalysis
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