High-resolution genome-wide association study and genomic prediction for disease resistance and cold tolerance in wheat

2021 ◽  
Author(s):  
Yunlong Pang ◽  
Yuye Wu ◽  
Chunxia Liu ◽  
Wenhui Li ◽  
Paul St. Amand ◽  
...  
Keyword(s):  
Disease Resistance ◽  
High Resolution ◽  
Association Study ◽  
Cold Tolerance ◽  
Genomic Prediction ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Genome Wide

scholarly journals Genome-Wide Association Study Reveals the Genetic Basis of Cold Tolerance in Rice at the Seedling Stage

Agriculture ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 318
Author(s):  
Tae-Ho Ham ◽  
Yebin Kwon ◽  
Yoonjung Lee ◽  
Jisu Choi ◽  
Joohyun Lee
Keyword(s):  
Association Study ◽  
Candidate Genes ◽  
Cold Tolerance ◽  
Genome Wide Association Study ◽  
Seedling Stage ◽  
Genome Wide Association ◽  
Matrix Analysis ◽  
Rice Seedlings ◽  
Genome Wide ◽  
A Genome

We conducted a genome-wide association study (GWAS) of cold tolerance in a collection of 127 rice accessions, including 57 Korean landraces at the seedling stage. Cold tolerance of rice seedlings was evaluated in a growth chamber under controlled conditions and scored on a 0–9 scale, based on their low-temperature response and subsequent recovery. GWAS, together with principal component analysis (PCA) and kinship matrix analysis, revealed four quantitative trait loci (QTLs) on chromosomes 1, 4, and 5 that explained 16.5% to 18.5% of the variance in cold tolerance. The genomic region underlying the QTL on chromosome four overlapped with a previously reported QTL associated with cold tolerance in rice seedlings. Similarly, one of the QTLs identified on chromosome five overlapped with a previously reported QTL associated with seedling vigor. Subsequent bioinformatic and haplotype analyses revealed three candidate genes affecting cold tolerance within the linkage disequilibrium (LD) block of these QTLs: Os01g0357800, encoding a pentatricopeptide repeat (PPR) domain-containing protein; Os05g0171300, encoding a plastidial ADP-glucose transporter; and Os05g0400200, encoding a retrotransposon protein, Ty1-copia subclass. The detected QTLs and further evaluation of these candidate genes in the future will provide strategies for developing cold-tolerant rice in breeding programs.

scholarly journals Genome-Wide Association Study (GWAS) For Cold Tolerance at The Bud Burst Stage in Rice Using SNP Markers

2021 ◽  
Author(s):  
Caijing Li ◽  
Jindong Liu ◽  
Jianxin Bian ◽  
Tao Jin ◽  
Baoli Zou ◽  
...  
Keyword(s):  
Low Temperature ◽  
Association Study ◽  
Cold Tolerance ◽  
Genetic Basis ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Bud Burst ◽  
Rice Varieties ◽  
Rice Landraces ◽  
Genome Wide

Abstract Background: Rice is a crop that is very sensitive to low temperature, and its morphological development and production are greatly affected by low temperature. Therefore, understanding the genetic basis of cold tolerance in rice is of great significance for mining favorable genes and cultivating excellent rice varieties. However, there were limited studies focusing on cold tolerance at the bud burst stage, therefore, considerable attention should be paid to the genetic basis of cold tolerance at the bud burst stage (CTBB).Results: In this study, a natural population consisting of 211 rice landraces collected from 15 provinces of China and other countries were firstly used to evaluate the cold tolerance at the bud burst stage. Population structure analysis showed that this population divided into three groups and was rich in genetic diversity. Our evaluation results confered that the japonica rice was more tolerance to cold at the bud burst stage than indica rice. Genome-wide association study (GWAS) were performed through the phenotypic data of 211 rice landraces and 36,727 SNPs dataset under a mixed linear model, and 12 QTLs (P < 0.0001) were identified according to the seedling survival rate (SSR) treated at 4 ℃, in which there are five QTLs (qSSR2-2, qSSR3-1, qSSR3-2, qSSR3-3 and qSSR9) which were co-located with previous studies, and seven QTLs (qSSR2-1, qSSR3-4, qSSR3-5, qSSR3-6, qSSR3-7, qSSR4 and qSSR7) which were reported for the first time. Among these QTLs, qSSR9, harboring the highest-peak SNP, explained biggest phenotypic variation. Through bioinformatics analysis, five genes (LOC_Os09g12440, LOC_Os09g12470, LOC_Os09g12520, LOC_Os09g12580 and LOC_Os09g12720) were nominated as candidates for qSSR9. Conclusion: This natural population consisting of 211 rice landraces with high density SNPs will serve as a better choice for identifying rice QTLs/genes in future, and the detected QTLs associated with cold tolerance in rice bud burst stage will be conducive to further mining favorable genes and breeding of rice varieties under cold stress.

scholarly journals Genome-Wide Association Study and QTL Mapping Reveal Genomic Loci Associated with Fusarium Ear Rot Resistance in Tropical Maize Germplasm

2016 ◽  
Vol 6 (12) ◽  
pp. 3803-3815 ◽  
Author(s):  
Jiafa Chen ◽  
Rosemary Shrestha ◽  
Junqiang Ding ◽  
Hongjian Zheng ◽  
Chunhua Mu ◽  
...  
Keyword(s):  
Disease Resistance ◽  
Association Study ◽  
Candidate Genes ◽  
Genome Wide Association Study ◽  
Physical Map ◽  
Genome Wide Association ◽  
Fusarium Ear Rot ◽  
Ear Rot ◽  
Tropical Maize ◽  
Genome Wide

Abstract Fusarium ear rot (FER) incited by Fusarium verticillioides is a major disease of maize that reduces grain quality globally. Host resistance is the most suitable strategy for managing the disease. We report the results of genome-wide association study (GWAS) to detect alleles associated with increased resistance to FER in a set of 818 tropical maize inbred lines evaluated in three environments. Association tests performed using 43,424 single-nucleotide polymorphic (SNPs) markers identified 45 SNPs and 15 haplotypes that were significantly associated with FER resistance. Each associated SNP locus had relatively small additive effects on disease resistance and accounted for 1–4% of trait variation. These SNPs and haplotypes were located within or adjacent to 38 candidate genes, 21 of which were candidate genes associated with plant tolerance to stresses, including disease resistance. Linkage mapping in four biparental populations to validate GWAS results identified 15 quantitative trait loci (QTL) associated with F. verticillioides resistance. Integration of GWAS and QTL to the maize physical map showed eight colocated loci on chromosomes 2, 3, 4, 5, 9, and 10. QTL on chromosomes 2 and 9 are new. These results reveal that FER resistance is a complex trait that is conditioned by multiple genes with minor effects. The value of selection on identified markers for improving FER resistance is limited; rather, selection to combine small effect resistance alleles combined with genomic selection for polygenic background for both the target and general adaptation traits might be fruitful for increasing FER resistance in maize.

Genome-wide association study reveals the genetic basis of cold tolerance in wheat

2020 ◽  
Vol 40 (4) ◽  
Author(s):  
Yong Zhao ◽  
Jiahao Li ◽  
Ruiling Zhao ◽  
Ke Xu ◽  
Yirao Xiao ◽  
...  
Keyword(s):  
Association Study ◽  
Cold Tolerance ◽  
Genetic Basis ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Genome Wide

Genome-wide association study and genomic prediction for resistance against Streptococcus agalactiae in hybrid red tilapia (Oreochromis spp.)

Aquaculture ◽  
2020 ◽  
Vol 525 ◽  
pp. 735297 ◽  
Author(s):  
Sila Sukhavachana ◽  
Pumipat Tongyoo ◽  
Cecile Massault ◽  
Nichanun McMillan ◽  
Amorn Leungnaruemitchai ◽  
...  
Keyword(s):  
Association Study ◽  
Streptococcus Agalactiae ◽  
Genomic Prediction ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Red Tilapia ◽  
Genome Wide

scholarly journals Comparison of shape quantification methods for genomic prediction, and genome-wide association study of sorghum seed morphology

PLoS ONE ◽  
2019 ◽  
Vol 14 (11) ◽  
pp. e0224695
Author(s):  
Lisa Sakamoto ◽  
Hiromi Kajiya-Kanegae ◽  
Koji Noshita ◽  
Hideki Takanashi ◽  
Masaaki Kobayashi ◽  
...  
Keyword(s):  
Association Study ◽  
Genomic Prediction ◽  
Genome Wide Association Study ◽  
Seed Morphology ◽  
Genome Wide Association ◽  
Genome Wide ◽  
Shape Quantification
Sign in / Sign up

Export Citation Format

Share Document