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SNPs in stress-responsive rice genes: validation, genotyping, functional relevance and population structure

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TLDR
SNPs validated in biotic and abiotic stress-responsive rice genes can be used in association analyses to identify candidate genes and develop functional markers for stress tolerance in rice.
Abstract
Single nucleotide polymorphism (SNP) validation and large-scale genotyping are required to maximize the use of DNA sequence variation and determine the functional relevance of candidate genes for complex stress tolerance traits through genetic association in rice. We used the bead array platform-based Illumina GoldenGate assay to validate and genotype SNPs in a select set of stress-responsive genes to understand their functional relevance and study the population structure in rice.

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Genome-wide association mapping of salinity tolerance in rice (Oryza sativa)

TL;DR: The region harbouring Saltol, a major quantitative trait loci on chromosome 1 in rice, which is known to control salinity tolerance at seedling stage, was detected as a major association with Na+/K+ ratio measured at reproductive stage in this study.
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A Review of Microsatellite Markers and Their Applications in Rice Breeding Programs to Improve Blast Disease Resistance

TL;DR: The aim of this review is to summarize the current knowledge concerning the linkage of microsatellite markers to rice blast resistance genes, as well as to explore the use of MAS in rice breeding programs aimed at improving blast resistance in this species.
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Avoiding damage and achieving cold tolerance in rice plants

TL;DR: Although much progress has been achieved, joint efforts from breeders and plant biologists could speed up the production of cold-tolerant rice plants, and some possible approaches are suggested.
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Genomic-assisted haplotype analysis and the development of high-throughput SNP markers for salinity tolerance in soybean

TL;DR: High quality whole-genome resequencing was utilized on 106 diverse soybean lines and three major structural variants and allelic variation in the promoter and genic regions of the GmCHX1 gene were identified, identifying salt-tolerant/sensitive genotypes and different structural-variants.
Journal ArticleDOI

Deploying QTL-seq for rapid delineation of a potential candidate gene underlying major trait-associated QTL in chickpea

TL;DR: The proposed QTL-seq-driven integrated genome-wide strategy has potential to delineate major candidate gene(s) harbouring a robust trait regulatory QTL rapidly with optimal use of resources to extrapolate the molecular mechanism underlying complex quantitative traits at a genome- wide scale leading to fast-paced marker-assisted genetic improvement in diverse crop plants, including chickpea.
References
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Journal ArticleDOI

MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) Software Version 4.0

TL;DR: Version 4 of MEGA software expands on the existing facilities for editing DNA sequence data from autosequencers, mining Web-databases, performing automatic and manual sequence alignment, analyzing sequence alignments to estimate evolutionary distances, inferring phylogenetic trees, and testing evolutionary hypotheses.
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Inference of population structure using multilocus genotype data

TL;DR: Pritch et al. as discussed by the authors proposed a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations, which can be applied to most of the commonly used genetic markers, provided that they are not closely linked.
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TL;DR: The present version of DnaSP introduces several new modules and features which, among other options, allow handling big data sets and conducting a large number of coalescent-based tests by Monte Carlo computer simulations.
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TASSEL: software for association mapping of complex traits in diverse samples

TL;DR: TASSEL (Trait Analysis by aSSociation, Evolution and Linkage) implements general linear model and mixed linear model approaches for controlling population and family structure and allows for linkage disequilibrium statistics to be calculated and visualized graphically.
Journal ArticleDOI

I-TASSER server for protein 3D structure prediction.

TL;DR: The I-TASSER server has been developed to generate automated full-length 3D protein structural predictions where the benchmarked scoring system helps users to obtain quantitative assessments of the I- TASSER models.
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