Literature DB >> 20602115

Combining QTL mapping and transcriptome profiling of bulked RILs for identification of functional polymorphism for salt tolerance genes in rice (Oryza sativa L.).

Awadhesh Pandit1, Vandna Rai, Subhashis Bal, Shikha Sinha, Vinod Kumar, Mahesh Chauhan, Raj K Gautam, Rakesh Singh, Prakash C Sharma, Ashok K Singh, Kishor Gaikwad, Tilak R Sharma, Trilochan Mohapatra, Nagendra K Singh.   

Abstract

Identification of genes for quantitative traits is difficult using any single approach due to complex inheritance of the traits and limited resolving power of the individual techniques. Here a combination of genetic mapping and bulked transcriptome profiling was used to narrow down the number of differentially expressed salt-responsive genes in rice in order to identify functional polymorphism of genes underlying the quantitative trait loci (QTL). A population of recombinant inbred lines (RILs) derived from cross between salt-tolerant variety CSR 27 and salt-sensitive variety MI 48 was used to map QTL for salt ion concentrations in different tissues and salt stress susceptibility index (SSI) for spikelet fertility, grain weight, and grain yield. Eight significant QTL intervals were mapped on chromosomes 1, 8, and 12 for the salt ion concentrations and a QTL controlling SSI for spikelet fertility was co-located in one of these intervals on chromosome 8. However, there were total 2,681 genes in these QTL intervals, making it difficult to pinpoint the genes responsible for the functional differences for the traits. Similarly, transcriptome profiling of the seedlings of tolerant and sensitive parents grown under control and salt-stress conditions showed 798 and 2,407 differentially expressed gene probes, respectively. By analyzing pools of RNA extracted from ten each of extremely tolerant and extremely sensitive RILs to normalize the background noise, the number of differentially expressed genes under salt stress was drastically reduced to 30 only. Two of these genes, an integral transmembrane protein DUF6 and a cation chloride cotransporter, were not only co-located in the QTL intervals but also showed the expected distortion of allele frequencies in the extreme tolerant and sensitive RILs, and therefore are suitable for future validation studies and development of functional markers for salt tolerance in rice to facilitate marker-assisted breeding.

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Year:  2010        PMID: 20602115     DOI: 10.1007/s00438-010-0551-6

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  31 in total

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Authors:  M L Wayne; L M McIntyre
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-01       Impact factor: 11.205

2.  QTLs for Na+ and K+ uptake of the shoots and roots controlling rice salt tolerance.

Authors:  H X Lin; M Z Zhu; M Yano; J P Gao; Z W Liang; W A Su; X H Hu; Z H Ren; D Y Chao
Journal:  Theor Appl Genet       Date:  2003-09-26       Impact factor: 5.699

3.  Identification of markers linked to disease-resistance genes by bulked segregant analysis: a rapid method to detect markers in specific genomic regions by using segregating populations.

Authors:  R W Michelmore; I Paran; R V Kesseli
Journal:  Proc Natl Acad Sci U S A       Date:  1991-11-01       Impact factor: 11.205

4.  Believe it or not, QTLs are accurate!

Authors:  Adam H Price
Journal:  Trends Plant Sci       Date:  2006-04-17       Impact factor: 18.313

5.  Rapid isolation of high molecular weight plant DNA.

Authors:  M G Murray; W F Thompson
Journal:  Nucleic Acids Res       Date:  1980-10-10       Impact factor: 16.971

6.  Gene expression profiles during the initial phase of salt stress in rice.

Authors:  S Kawasaki; C Borchert; M Deyholos; H Wang; S Brazille; K Kawai; D Galbraith; H J Bohnert
Journal:  Plant Cell       Date:  2001-04       Impact factor: 11.277

7.  Towards an analysis of the rice mitochondrial proteome.

Authors:  Joshua L Heazlewood; Katharine A Howell; James Whelan; A Harvey Millar
Journal:  Plant Physiol       Date:  2003-05       Impact factor: 8.340

8.  Identification of salt-stress responsive genes in rice (Oryza sativa L.) by cDNA array.

Authors:  Xinjian He; Jianquan Chen; Zhigang Zhang; Jinsong Zhang; Shouyi Chen
Journal:  Sci China C Life Sci       Date:  2002-10

9.  Genome-wide transcriptional analysis of salinity stressed japonica and indica rice genotypes during panicle initiation stage.

Authors:  Harkamal Walia; Clyde Wilson; Linghe Zeng; Abdelbagi M Ismail; Pascal Condamine; Timothy J Close
Journal:  Plant Mol Biol       Date:  2006-12-12       Impact factor: 4.076

10.  The impact of oxidative stress on Arabidopsis mitochondria.

Authors:  L J Sweetlove; J L Heazlewood; V Herald; R Holtzapffel; D A Day; C J Leaver; A H Millar
Journal:  Plant J       Date:  2002-12       Impact factor: 6.417

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  53 in total

1.  Genomic associations for drought tolerance on the short arm of wheat chromosome 4B.

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Journal:  Funct Integr Genomics       Date:  2012-04-05       Impact factor: 3.410

2.  Transcriptomics of salinity tolerance capacity in Arctic charr (Salvelinus alpinus): a comparison of gene expression profiles between divergent QTL genotypes.

Authors:  Joseph D Norman; Moira M Ferguson; Roy G Danzmann
Journal:  Physiol Genomics       Date:  2013-12-24       Impact factor: 3.107

3.  Os11Gsk gene from a wild rice, Oryza rufipogon improves yield in rice.

Authors:  Sudhakar Thalapati; Anil K Batchu; Sarla Neelamraju; Rajeshwari Ramanan
Journal:  Funct Integr Genomics       Date:  2012-02-25       Impact factor: 3.410

4.  Combining bulk segregation analysis and microarrays for mapping of the pH trait in melon.

Authors:  Amir Sherman; Ravit Eshed; Rotem Harel-Beja; Galil Tzuri; Vitaly Portnoy; Shahar Cohen; Mor Rubinstein; Arthur A Schaffer; Joseph Burger; Nurit Katzir; Ron Ophir
Journal:  Theor Appl Genet       Date:  2012-10-16       Impact factor: 5.699

5.  Genome-wide association study and gene set analysis for understanding candidate genes involved in salt tolerance at the rice seedling stage.

Authors:  Jie Yu; Weiguo Zao; Qiang He; Tae-Sung Kim; Yong-Jin Park
Journal:  Mol Genet Genomics       Date:  2017-08-18       Impact factor: 3.291

6.  Identification of QTLs with main, epistatic and QTL × environment interaction effects for salt tolerance in rice seedlings under different salinity conditions.

Authors:  Zhoufei Wang; Jinping Cheng; Zhiwei Chen; Ji Huang; Yongmei Bao; Jianfei Wang; Hongsheng Zhang
Journal:  Theor Appl Genet       Date:  2012-06-08       Impact factor: 5.699

7.  Elucidation of salt-tolerance metabolic pathways in contrasting rice genotypes and their segregating progenies.

Authors:  Pragya Mishra; Vagish Mishra; Teruhiro Takabe; Vandna Rai; Nagendra Kumar Singh
Journal:  Plant Cell Rep       Date:  2016-03-18       Impact factor: 4.570

8.  A suite of new genes defining salinity stress tolerance in seedlings of contrasting rice genotypes.

Authors:  Neelam Soda; Hemant R Kushwaha; Praveen Soni; Sneh L Singla-Pareek; Ashwani Pareek
Journal:  Funct Integr Genomics       Date:  2013-06-30       Impact factor: 3.410

9.  Allele mining for a drought responsive gene DRO1 determining root growth angle in donors of drought tolerance in rice (Oryza sativa L.).

Authors:  Bablee Kumari Singh; M K Ramkumar; Monika Dalal; Archana Singh; Amolkumar U Solanke; Nagendra K Singh; Amitha Mithra Sevanthi
Journal:  Physiol Mol Biol Plants       Date:  2021-02-26

10.  Genome-wide association mapping of sodium and potassium concentration in rice grains and shoots under alternate wetting and drying and continuously flooded irrigation.

Authors:  Caijin Chen; Anthony J Travis; Mahmud Hossain; Md Rafiqul Islam; Adam H Price; Gareth J Norton
Journal:  Theor Appl Genet       Date:  2021-05-04       Impact factor: 5.574

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