scholarly journals Genome-Wide Association Study of QTLs Conferring Resistance to Bacterial Leaf Streak in Rice

Plants ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 2039
Author(s):  
Xiaofang Xie ◽  
Yan Zheng ◽  
Libin Lu ◽  
Jiazheng Yuan ◽  
Jie Hu ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Bacterial Pathogen ◽  
Xanthomonas Oryzae ◽  
Phenotypic Variance ◽  
Bacterial Leaf Streak ◽  
Chromosome 11 ◽  
Severe Damage ◽  
Genome Wide ◽  
Rice Disease ◽  
Depth Study

Bacterial leaf streak (BLS) is a devastating rice disease caused by the bacterial pathogen, Xanthomonas oryzae pv. oryzicola (Xoc), which can result in severe damage to rice production worldwide. Based on a total of 510 rice accessions, trialed in two seasons and using six different multi-locus GWAS methods (mrMLM, ISIS EM-BLASSO, pLARmEB, FASTmrMLM, FASTmrEMMA and pKWmEB), 79 quantitative trait nucleotides (QTNs) reflecting 69 QTLs for BLS resistance were identified (LOD > 3). The QTNs were distributed on all chromosomes, with the most distributed on chromosome 11, followed by chromosomes 1 and 5. Each QTN had an additive effect of 0.20 (cm) and explained, on average, 2.44% of the phenotypic variance, varying from 0.00–0.92 (cm) and from 0.00–9.86%, respectively. Twenty-five QTNs were detected by at least two methods. Among them, qnBLS11.17 was detected by as many as five methods. Most of the QTNs showed a significant interaction with their environment, but no QTNs were detected in both seasons. By defining the QTL range for each QTN according to the LD half-decay distance, a total of 848 candidate genes were found for nine top QTNs. Among them, more than 10% were annotated to be related to biotic stress resistance, and five showed a significant response to Xoc infection. Our results could facilitate the in-depth study and marker-assisted improvement of rice resistance to BLS.

scholarly journals Genome-wide association study for yield and yield related traits under reproductive stage drought in a diverse indica-aus rice panel

2020 ◽  
Author(s):  
Aditi Bhandari ◽  
Nitika Sandhu ◽  
Jérôme Bartholome ◽  
Tuong-Vi Cao-Hamadoun ◽  
Nourollah Ahmadi ◽  
...  
Keyword(s):  
Grain Yield ◽  
Field Experiments ◽  
Genome Wide Association Study ◽  
Reproductive Stage ◽  
Phenotypic Variance ◽  
Rice Varieties ◽  
Drought Tolerant ◽  
Genome Wide ◽  
Close Proximity ◽  
Genomic Regions

Abstract Background Reproductive-stage drought stress is a major impediment to rice production globally. Conventional and marker-assisted breeding strategies for developing drought tolerant rice varieties are being optimized by mining and exploiting adaptive traits, genetic diversity; identifying the alleles and understanding their interactions with genetic backgrounds for contributing to drought tolerance. Field experiments were conducted in this study to identify marker-trait associations (MTAs) involved in response to yield under reproductive-stage drought. A diverse set of 280 indica-aus accessions was phenotyped for grain yield and nine yield-related traits under normal condition and under two managed drought environments. The accessions were genotyped with 215,250 single nucleotide polymorphism markers. Results The study identified a total of 220 significant MTAs and candidate gene analysis within 200kb window centred from GWAS identified SNP peaks detected these MTAs within/ in close proximity to 47 genes, 4 earlier reported major grain yield QTLs and 8 novel QTLs for 10 traits. The significant MTAs were majorly located on chromosomes 1, 2, 5, 6, 11 and 12 and the percent phenotypic variance captured for these traits ranged from 5 to 88%. The significant positive correlation of grain yield with yield-related traits, except flowering time, observed under different environments point towards their contribution in improving rice yield under drought. Seven promising accessions were identified for use in future genomics-assisted breeding program targeting grain yield improvement under drought. Conclusion These results provide a promising insight into the complex-genetic architecture of grain yield under reproductive-stage drought under different environments. Validation of major genomic regions reported in the study can be effectively used to develop drought tolerant varieties following marker-assisted selection as well as to identify genes and understanding the associated physiological mechanisms.

scholarly journals Comprehensive Identification of Drought Tolerance QTL-Allele and Candidate Gene Systems in Chinese Cultivated Soybean Population

2020 ◽  
Vol 21 (14) ◽  
pp. 4830
Author(s):  
Wubin Wang ◽  
Bin Zhou ◽  
Jianbo He ◽  
Jinming Zhao ◽  
Cheng Liu ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Candidate Gene ◽  
Genome Wide Association Study ◽  
Genetic System ◽  
Phenotypic Variance ◽  
Quantitative Real Time Pcr ◽  
Plant Weight ◽  
Factors Affecting ◽  
Genome Wide ◽  
Cultivated Soybean

Drought is one of the most important factors affecting plant growth and productivity. The previous results on drought tolerance (DT) genetic system in soybean indicated a complex of genes not only few ones were involved in the trait. This study is featured with a relatively thorough identification of QTL-allele/candidate-gene system using an efficient restricted two-stage multi-locus multi-allele genome-wide association study, on two comprehensive DT indicators, membership index values of relative plant weight (MPW) and height (MPH), instead of a single biological characteristic, in a large sample (564 accessions) of the Chinese cultivated soybean population (CCSP). Based on 24,694 multi-allele markers, 75 and 64 QTL with 261 and 207 alleles (2–12/locus) were detected for MPW and MPH, explaining 54.7% and 47.1% of phenotypic variance, respectively. The detected QTL-alleles were organized into a QTL-allele matrix for each indicator, indicating DT is a super-trait conferred by two (even more) QTL-allele systems of sub-traits. Each CCSP matrix was separated into landrace (LR) and released cultivar (RC) sub-matrices, which showed significant differentiation in QTL-allele constitutions, with 58 LR alleles excluded and 16 new ones emerged in RC. Using the matrices, optimal crosses with great DT transgressive recombinants were predicted. From the detected QTL, 177 candidate genes were annotated and validated with quantitative Real-time PCR, and grouped into nine categories, with ABA and stress responders as the major parts. The key point of the above results is the establishment of relatively full QTL-allele matrices composed of numerous gene functions jointly conferring DT, therefore, demonstrates the complexity of DT genetic system and potential of CCSP in DT breeding.

scholarly journals Genome-wide association study reveals the genetic architecture of 27 yield-related traits in tomato

2020 ◽  
Author(s):  
Jie Ye ◽  
Xin Wang ◽  
Wenqian Wang ◽  
Huiyang Yu ◽  
Guo Ai ◽  
...  
Keyword(s):  
Association Study ◽  
Genetic Architecture ◽  
Genome Wide Association Study ◽  
Genetic Research ◽  
Reproductive Development ◽  
Genome Wide Association ◽  
Phenotypic Variance ◽  
Vegetable Crop ◽  
Genome Wide ◽  
Malate Transporter

Abstract Tomato (Solanum lycopersicum) is a highly valuable vegetable crop and yield is one of the most important traits. Uncovering the genetic architecture of yield-related traits in tomato is critical for the management of vegetative and reproductive development, thereby enhancing yield. Here we perform a comprehensive genome-wide association study for 27 yield-related traits in tomato. A total of 239 significant associations corresponding to 129 loci, harboring many reported and novel genes related to vegetative and reproductive development, were identified, and these loci explained an average of ~8.8% of the phenotypic variance. A total of 51 loci associated with 25 traits have been under selection, especially during tomato improvement. Furthermore, a candidate gene, SlALMT15 that encodes an aluminum-activated malate transporter, was functionally characterized and shown to act as a pivotal regulator of leaf stomata formation through increasing photosynthesis and drought resistance. This study provides valuable information for tomato genetic research and breeding.

scholarly journals Genome wide-association study identifies novel loci in the Primary Open-Angle African American Glaucoma Genetics (POAAGG) study

2020 ◽  
Author(s):  
Harini V. Gudiseva ◽  
Shefali Setia Verma ◽  
Venkata R. M. Chavali ◽  
Rebecca J. Salowe ◽  
Anastasia Lucas ◽  
...  
Keyword(s):  
African American ◽  
African Americans ◽  
Large Scale ◽  
Genome Wide Association Study ◽  
Open Angle Glaucoma ◽  
Retinal Ganglion ◽  
Open Angle ◽  
Chromosome 11 ◽  
Disease Biology ◽  
Genome Wide

AbstractPrimary open-angle glaucoma (POAG), the leading cause of irreversible blindness worldwide, disproportionately affects African Americans. Large-scale POAG genetic studies have focused on individuals of European and Asian ancestry, limiting our understanding of disease biology. Here we report genetic analysis of the largest-ever deeply phenotyped African American population (n=5950), identifying a novel POAG-associated SNP on chromosome 11 near the TRIM66 gene (rs112369934). POAG trait association also implicated SNPs in genes involved in trabecular meshwork homeostasis and retinal ganglion cell maintenance. These new loci deepen our understanding of the pathophysiology of POAG in African Americans.

scholarly journals Genome-wide association study for yield and yield related traits under reproductive stage drought in a diverse indica-aus rice panel

2020 ◽  
Author(s):  
Aditi Bhandari ◽  
Nitika Sandhu ◽  
Jérôme Bartholome ◽  
Tuong-Vi Cao-Hamadoun ◽  
Nourollah Ahmadi ◽  
...  
Keyword(s):  
Grain Yield ◽  
Field Experiments ◽  
Genome Wide Association Study ◽  
Agronomic Traits ◽  
Reproductive Stage ◽  
Phenotypic Variance ◽  
Rice Varieties ◽  
Drought Tolerant ◽  
Genome Wide ◽  
Genomic Regions

Abstract Background Reproductive-stage drought stress is a major impediment to rice production in rainfed areas. Conventional and marker-assisted breeding strategies for developing drought-tolerant rice varieties are being optimized by mining and exploiting adaptive traits, genetic diversity; identifying the alleles, and understanding their interactions with genetic backgrounds for their increased contribution to drought tolerance. Field experiments were conducted in this study to identify marker-trait associations (MTAs) involved in response to yield under reproductive-stage (RS) drought. A diverse set of 280 indica-aus accessions was phenotyped for ten agronomic traits including yield and yield-related traits under normal irrigated condition and under two managed reproductive-stage drought environments. The accessions were genotyped with 215,250 single nucleotide polymorphism markers. Results The study identified a total of 219 significant MTAs for 10 traits and candidate gene analysis within a 200kb window centred from GWAS identified SNP peaks detected these MTAs within/ in close proximity to 38 genes, 4 earlier reported major grain yield QTLs and 6 novel QTLs for 7 traits out of the 10. The significant MTAs were mainly located on chromosomes 1, 2, 5, 6, 9, 11 and 12 and the percent phenotypic variance captured for these traits ranged from 5 to 88%. The significant positive correlation of grain yield with yield-related and other agronomic traits except for flowering time, observed under different environments point towards their contribution in improving rice yield under drought. Seven promising accessions were identified for use in future genomics-assisted breeding programs targeting grain yield improvement under drought. Conclusion These results provide a promising insight into the complex genetic architecture of grain yield under reproductive-stage drought in different environments. Validation of major genomic regions reported in the study will enable their effectiveness to develop drought-tolerant varieties following marker-assisted selection as well as to identify genes and understanding the associated physiological mechanisms.

scholarly journals Genome-wide association studies in tropical maize germplasm reveal novel and known genomic regions for resistance to Northern corn leaf blight

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Zerka Rashid ◽  
Mehrajuddin Sofi ◽  
Sharanappa I. Harlapur ◽  
Rajashekhar M. Kachapur ◽  
Zahoor Ahmed Dar ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Association Studies ◽  
Leaf Blight ◽  
Genome Wide Association ◽  
Phenotypic Variance ◽  
Genome Wide Association Studies ◽  
Maize Crop ◽  
Northern Corn Leaf Blight ◽  
Genome Wide ◽  
Corn Leaf Blight

AbstractNorthern Corn Leaf Blight (NCLB) caused by Setosphaeria turcica, is one of the most important diseases of maize world-wide, and one of the major reasons behind yield losses in maize crop in Asia. In the present investigation, a high-resolution genome wide association study (GWAS) was conducted for NCLB resistance in three association mapping panels, predominantly consisting of tropical lines adapted to different agro-ecologies. These panels were phenotyped for disease severity across three locations with high disease prevalence in India. High density SNPs from Genotyping-by-sequencing were used in GWAS, after controlling for population structure and kinship matrices, based on single locus mixed linear model (MLM). Twenty-two SNPs were identified, that revealed a significant association with NCLB in the three mapping panels. Haplotype regression analysis revealed association of 17 significant haplotypes at FDR ≤ 0.05, with two common haplotypes across three maize panels. Several of the significantly associated SNPs/haplotypes were found to be co-located in chromosomal bins previously reported for major genes like Ht2, Ht3 and Htn1 and QTL for NCLB resistance and multiple foliar disease resistance. Phenotypic variance explained by these significant SNPs/haplotypes ranged from low to moderate, suggesting a breeding strategy of combining multiple resistance alleles towards resistance for NCLB.

scholarly journals Genome-Wide Association Study of Alcohol Dependence Implicates a Region on Chromosome 11

2010 ◽  
Vol 34 (5) ◽  
pp. 840-852 ◽  
Author(s):  
Howard J. Edenberg ◽  
Daniel L. Koller ◽  
Xiaoling Xuei ◽  
Leah Wetherill ◽  
Jeanette N. McClintick ◽  
...  
Keyword(s):  
Alcohol Dependence ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Chromosome 11 ◽  
Genome Wide

scholarly journals Genome-wide association study reveals the genetic architecture of 27 yield-related traits in tomato

2020 ◽  
Author(s):  
Jie Ye ◽  
Xin Wang ◽  
Wenqian Wang ◽  
Huiyang Yu ◽  
Guo Ai ◽  
...  
Keyword(s):  
Association Study ◽  
Genetic Architecture ◽  
Genome Wide Association Study ◽  
Genetic Research ◽  
Reproductive Development ◽  
Genome Wide Association ◽  
Phenotypic Variance ◽  
Vegetable Crop ◽  
Genome Wide ◽  
Malate Transporter

ABSTRACTTomato (Solanum lycopersicum) is a highly valuable vegetable crop and yield is one of the most important traits. Uncovering the genetic architecture of yield-related traits in tomato is critical for the management of vegetative and reproductive development, thereby enhancing yield. Here we perform a comprehensive genome-wide association study for 27 yield-related traits in tomato. A total of 239 significant associations corresponding to 129 loci, harboring many reported and novel genes related to vegetative and reproductive development, were identified, and these loci explained an average of ∼8.8% of the phenotypic variance. A total of 51 loci associated with 25 traits have been under selection, especially during tomato improvement. Furthermore, a candidate gene, SlALMT15 that encodes an aluminum-activated malate transporter, was functionally characterized and shown to act as a pivotal regulator of leaf stomata formation through increasing photosynthesis and drought resistance. This study provides valuable information for tomato genetic research and breeding.

scholarly journals Genome-wide Association Study of Pulmonary Function in Europeans and Africans from the UK Biobank Identifies Distinct Variants

2022 ◽  
Author(s):  
Musalula Sinkala ◽  
Samar S. M. Elsheikh ◽  
Mamana Mbiyavanga ◽  
Joshua Cullinan ◽  
Nicola Mulder
Keyword(s):  
Pulmonary Function ◽  
Genome Wide Association Study ◽  
Well Being ◽  
Genome Wide Association ◽  
Significant Finding ◽  
Uk Biobank ◽  
Chromosome 11 ◽  
Genome Wide ◽  
A Genome ◽  
The Uk

Pulmonary function is an indicator of well-being, and pulmonary pathologies are the third major cause of death worldwide. FEV1, FVC, and PEF are quantitively used to assess pulmonary function. We conducted a genome-wide association analysis of pulmonary function in 383,471 individuals of European and 5,978 African descent represented in the UK Biobank. Here, we report 817 variants in Europeans and 3 in Africans associated (p-values < 5 x 10-8) with three pulmonary function parameters; FEV1, FVC and PEF. In addition to 377 variants in Europeans previously reported to be associated with phenotypes related to pulmonary function, we identified 330 novel loci, including an ISX intergenic variant rs369476290 on chromosome 22 in Africans and a KDM2A intron variant rs12790261 on chromosome 11 in Europeans. Remarkably, we find no shared variants among Africans and Europeans. Enrichment analyses of variants separately for each ancestry background revealed significant enrichment for terms related to pulmonary phenotypes in Europeans but not Africans. Further analysis of studies of pulmonary phenotypes revealed individuals of European background are disproportionally overrepresented in datasets compared to Africans, with the gap widening over the past five years. Our findings offer a better understanding of the different variants that modify pulmonary function in Africans and Europeans, a significant finding for future GWAS studies and medicine.

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