Literature DB >> 34924715

Genome-wide SNP discovery, linkage mapping, and analysis of QTL for morpho-physiological traits in rice during vegetative stage under drought stress.

Rizky Dwi Satrio1,2, Miftahul Huda Fendiyanto1,2, Ence Darmo Jaya Supena3,4, Sony Suharsono3, Miftahudin Miftahudin3.   

Abstract

Drought tolerance in rice is controlled by several genes and is inherited quantitatively. Low genetic map density and the use of phenotypic traits that do not reflect the corresponding tolerance level have been obstacles in genetic analyses performed to identify genes that control drought-tolerant traits in rice. The current study aimed to construct a genetic map from high-density single-nucleotide polymorphism (SNP) markers generated from genome sequences of recombinant inbred lines (RILs), derived from IR64 × Hawara Bunar. Moreover, it sought to analyze the quantitative trait loci (QTL) and identify the drought tolerance candidate genes. A linkage map along 1980 cM on the 12 rice chromosomes was constructed employing 55,205 SNP markers resulting from the RIL genome sequences. A total of 175 morpho-physiological traits pertaining to drought stress were determined. A total of 41 QTLs were detected in 13 regions on rice chromosomes 1, 3, 6, 8, 9, and 12. Moreover, three hotspot QTL regions were found on chromosomes 6 and 8, along with two major QTL on chromosome 9. Differential gene expression for the loci within the QTL physical map intervals revealed many potential candidate genes. The markers tightly linked to the QTL and their candidate genes can potentially be used for pyramiding in marker-assisted breeding in order to achieve genetic improvement concerning the tolerance of rice to drought stress. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12298-021-01095-y. © Prof. H.S. Srivastava Foundation for Science and Society 2021.

Entities:  

Keywords:  Drought tolerance index; Genotyping-by-sequencing; Leaf gas exchange; Recombinant inbred line; Rice

Year:  2021        PMID: 34924715      PMCID: PMC8639969          DOI: 10.1007/s12298-021-01095-y

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


  49 in total

1.  A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data.

Authors:  Heng Li
Journal:  Bioinformatics       Date:  2011-09-08       Impact factor: 6.937

2.  Mapping QTLs for yield and nitrogen-related traits in wheat: influence of nitrogen and phosphorus fertilization on QTL expression.

Authors:  Yunfeng Xu; Ruifang Wang; Yiping Tong; Huatian Zhao; Qingen Xie; Dongcheng Liu; Aimin Zhang; Bin Li; Hongxing Xu; Diaoguo An
Journal:  Theor Appl Genet       Date:  2013-09-27       Impact factor: 5.699

3.  Mapping of QTL associated with chilling tolerance during reproductive growth in soybean.

Authors:  H Funatsuki; K Kawaguchi; S Matsuba; Y Sato; M Ishimoto
Journal:  Theor Appl Genet       Date:  2005-10-18       Impact factor: 5.699

4.  OsGERLP: A novel aluminum tolerance rice gene isolated from a local cultivar in Indonesia.

Authors:  Miftahudin Miftahudin; Dewi Indriyani Roslim; Miftahul Huda Fendiyanto; Rizky Dwi Satrio; Ahmad Zulkifli; Eka Indah Umaiyah; Tatik Chikmawati; Yohana Caecilia Sulistyaningsih; Suharsono Suharsono; Alex Hartana; Henry T Nguyen; J Perry Gustafson
Journal:  Plant Physiol Biochem       Date:  2021-02-21       Impact factor: 4.270

5.  Bridging the genotyping gap: using genotyping by sequencing (GBS) to add high-density SNP markers and new value to traditional bi-parental mapping and breeding populations.

Authors:  Jennifer Spindel; Mark Wright; Charles Chen; Joshua Cobb; Joseph Gage; Sandra Harrington; Mathias Lorieux; Nourollah Ahmadi; Susan McCouch
Journal:  Theor Appl Genet       Date:  2013-08-06       Impact factor: 5.699

6.  Oxidation of Monolignols by Members of the Berberine Bridge Enzyme Family Suggests a Role in Plant Cell Wall Metabolism.

Authors:  Bastian Daniel; Tea Pavkov-Keller; Barbara Steiner; Andela Dordic; Alexander Gutmann; Bernd Nidetzky; Christoph W Sensen; Eric van der Graaff; Silvia Wallner; Karl Gruber; Peter Macheroux
Journal:  J Biol Chem       Date:  2015-06-02       Impact factor: 5.157

7.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.

Authors:  Michael I Love; Wolfgang Huber; Simon Anders
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

8.  Identification and mapping of QTLs associated with drought tolerance traits in rice by a cross between Super Basmati and IR55419-04.

Authors:  Muhammad Sabar; Ghulam Shabir; Shahid Masood Shah; Kashif Aslam; Shahzad Amir Naveed; Muhammad Arif
Journal:  Breed Sci       Date:  2019-03-28       Impact factor: 2.086

9.  Universal Stress Protein Exhibits a Redox-Dependent Chaperone Function in Arabidopsis and Enhances Plant Tolerance to Heat Shock and Oxidative Stress.

Authors:  Young Jun Jung; Sarah Mae Boyles Melencion; Eun Seon Lee; Joung Hun Park; Cresilda Vergara Alinapon; Hun Taek Oh; Dae-Jin Yun; Yong Hun Chi; Sang Yeol Lee
Journal:  Front Plant Sci       Date:  2015-12-21       Impact factor: 5.753

10.  Expression analysis of Cell wall invertase under abiotic stress conditions influencing specialized metabolism in Catharanthus roseus.

Authors:  M J Nishanth; S A Sheshadri; Sudarshan Singh Rathore; S Srinidhi; Bindu Simon
Journal:  Sci Rep       Date:  2018-10-10       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.