Literature DB >> 27535768

SNP-based discovery of salinity-tolerant QTLs in a bi-parental population of rice (Oryza sativa).

D R Gimhani1, Glenn B Gregorio2,3, N S Kottearachchi4, W L G Samarasinghe5.   

Abstract

Breeding for salt tolerance is the most promising approach to enhance the productivity of saline prone areas. However, polygenic inheritance of salt tolerance in rice acts as a bottleneck in conventional breeding for salt tolerance. Hence, we set our goals to construct a single nucleotide polymorphism (SNP)-based molecular map employing high-throughput SNP marker technology and to investigate salinity tolerant QTLs with closest flanking markers using an elite rice background. Seedling stage salinity responses were assessed in a population of 281 recombinant inbred lines (RILs) derived from the cross between At354 (salt tolerant) and Bg352 (salt susceptible), by 11 morpho-physiological indices under a hydroponic system. Selected extreme 94 RILs were genotyped using Illumina Infinium rice 6K SNP array and densely saturated molecular map spanning 1460.81 cM of the rice genome with an average interval of 1.29 cM between marker loci was constructed using 1135 polymorphic SNP markers. The results revealed 83 significant QTLs for 11 salt responsive traits explaining 12.5-46.7 % of phenotypic variation in respective traits. Of them, 72 QTLs responsible for 10 traits were co-localized together forming 14 QTL hotspots at 14 different genomic regions. The all QTL hotspots were flanked less than 1 Mb intervals and therefore the SNP loci associated with these QTL hotspots would be important in candidate gene discovery for salt tolerance.

Entities:  

Keywords:  Quantitative trait loci; Rice; Salinity tolerance; Single nucleotide polymorphism

Mesh:

Year:  2016        PMID: 27535768     DOI: 10.1007/s00438-016-1241-9

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


  37 in total

1.  QTL: their place in engineering tolerance of rice to salinity.

Authors:  T J Flowers; M L Koyama; S A Flowers; C Sudhakar; K P Singh; A R Yeo
Journal:  J Exp Bot       Date:  2000-01       Impact factor: 6.992

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.  Mapping QTLs and candidate genes for rice root traits under different water-supply conditions and comparative analysis across three populations.

Authors:  B S Zheng; L Yang; W P Zhang; C Z Mao; Y R Wu; K K Yi; F Y Liu; P Wu
Journal:  Theor Appl Genet       Date:  2003-08-15       Impact factor: 5.699

4.  Genetic and genomic approaches to develop rice germplasm for problem soils.

Authors:  Abdelbagi M Ismail; Sigrid Heuer; Michael J Thomson; Matthias Wissuwa
Journal:  Plant Mol Biol       Date:  2007-08-17       Impact factor: 4.076

Review 5.  Microsatellite marker development, mapping and applications in rice genetics and breeding.

Authors:  S R McCouch; X Chen; O Panaud; S Temnykh; Y Xu; Y G Cho; N Huang; T Ishii; M Blair
Journal:  Plant Mol Biol       Date:  1997-09       Impact factor: 4.076

6.  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

7.  Identification of QTLs for root characteristics in maize grown in hydroponics and analysis of their overlap with QTLs for grain yield in the field at two water regimes.

Authors:  Roberto Tuberosa; Maria Corinna Sanguineti; Pierangelo Landi; Marcella Michela Giuliani; Silvio Salvi; Sergio Conti
Journal:  Plant Mol Biol       Date:  2002 Mar-Apr       Impact factor: 4.076

8.  Genetics of gene expression surveyed in maize, mouse and man.

Authors:  Eric E Schadt; Stephanie A Monks; Thomas A Drake; Aldons J Lusis; Nam Che; Veronica Colinayo; Thomas G Ruff; Stephen B Milligan; John R Lamb; Guy Cavet; Peter S Linsley; Mao Mao; Roland B Stoughton; Stephen H Friend
Journal:  Nature       Date:  2003-03-20       Impact factor: 49.962

9.  Identification of QTLs affecting traits of agronomic importance in a recombinant inbred population derived from a subspecific rice cross.

Authors:  J Xiao; J Li; L Yuan; S D Tanksley
Journal:  Theor Appl Genet       Date:  1996-02       Impact factor: 5.699

10.  Responses of photosynthesis, chlorophyll fluorescence and ROS-scavenging systems to salt stress during seedling and reproductive stages in rice.

Authors:  Foad Moradi; Abdelbagi M Ismail
Journal:  Ann Bot       Date:  2007-04-11       Impact factor: 4.357

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  11 in total

1.  QTL mapping for grain yield-related traits in bread wheat via SNP-based selective genotyping.

Authors:  Li Yang; Dehui Zhao; Zili Meng; Kaijie Xu; Jun Yan; Xianchun Xia; Shuanghe Cao; Yubing Tian; Zhonghu He; Yong Zhang
Journal:  Theor Appl Genet       Date:  2019-12-16       Impact factor: 5.699

2.  Meta-Analysis of Quantitative Trait Loci Associated with Seedling-Stage Salt Tolerance in Rice (Oryza sativa L.).

Authors:  Md Shofiqul Islam; John Ontoy; Prasanta K Subudhi
Journal:  Plants (Basel)       Date:  2019-01-29

3.  Evaluation of rice grain yield and yield components of Nona Bokra chromosome segment substitution lines with the genetic background of Koshihikari, in a saline paddy field.

Authors:  Shiro Mitsuya; Norifumi Murakami; Tadashi Sato; Tomohiko Kazama; Kinya Toriyama; Nicola Stephanie Skoulding; Mana Kano-Nakata; Akira Yamauchi
Journal:  AoB Plants       Date:  2019-07-13       Impact factor: 3.276

4.  In Silico Identification of QTL-Based Polymorphic Genes as Salt-Responsive Potential Candidates through Mapping with Two Reference Genomes in Rice.

Authors:  Buddini Abhayawickrama; Dikkumburage Gimhani; Nisha Kottearachchi; Venura Herath; Dileepa Liyanage; Prasad Senadheera
Journal:  Plants (Basel)       Date:  2020-02-11

Review 5.  Advances and Challenges in the Breeding of Salt-Tolerant Rice.

Authors:  Hua Qin; Yuxiang Li; Rongfeng Huang
Journal:  Int J Mol Sci       Date:  2020-11-09       Impact factor: 5.923

6.  Identification of the OsCML4 Gene in Rice Related to Salt Stress Using QTL Analysis.

Authors:  Saleem Asif; Eun-Gyeong Kim; Yoon-Hee Jang; Rahmatullah Jan; Nari Kim; Sajjad Asaf; Muhammad Farooq; Kyung-Min Kim
Journal:  Plants (Basel)       Date:  2022-09-21

7.  Genome-Wide Association Mapping of Salinity Tolerance at the Seedling Stage in a Panel of Vietnamese Landraces Reveals New Valuable QTLs for Salinity Stress Tolerance Breeding in Rice.

Authors:  Thao Duc Le; Floran Gathignol; Huong Thi Vu; Khanh Le Nguyen; Linh Hien Tran; Hien Thi Thu Vu; Tu Xuan Dinh; Françoise Lazennec; Xuan Hoi Pham; Anne-Aliénor Véry; Pascal Gantet; Giang Thi Hoang
Journal:  Plants (Basel)       Date:  2021-05-28

8.  Tolerance to mild salinity stress in japonica rice: A genome-wide association mapping study highlights calcium signaling and metabolism genes.

Authors:  Julien Frouin; Antoine Languillaume; Justine Mas; Delphine Mieulet; Arnaud Boisnard; Axel Labeyrie; Mathilde Bettembourg; Charlotte Bureau; Eve Lorenzini; Muriel Portefaix; Patricia Turquay; Aurore Vernet; Christophe Périn; Nourollah Ahmadi; Brigitte Courtois
Journal:  PLoS One       Date:  2018-01-17       Impact factor: 3.240

9.  Large-scale deployment of a rice 6 K SNP array for genetics and breeding applications.

Authors:  Michael J Thomson; Namrata Singh; Maria S Dwiyanti; Diane R Wang; Mark H Wright; Francisco Agosto Perez; Genevieve DeClerck; Joong Hyoun Chin; Geraldine A Malitic-Layaoen; Venice Margarette Juanillas; Christine J Dilla-Ermita; Ramil Mauleon; Tobias Kretzschmar; Susan R McCouch
Journal:  Rice (N Y)       Date:  2017-08-30       Impact factor: 4.783

Review 10.  Salt tolerance in rice: seedling and reproductive stage QTL mapping come of age.

Authors:  Rakesh Kumar Singh; Suneetha Kota; Timothy J Flowers
Journal:  Theor Appl Genet       Date:  2021-07-21       Impact factor: 5.699

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