scholarly journals QTL Mapping for Seedling and Adult Plant Resistance to Leaf and Stem Rusts in Pamyati Azieva × Paragon Mapping Population of Bread Wheat

Agronomy ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1285 ◽  
Author(s):  
Yuliya Genievskaya ◽  
Saule Abugalieva ◽  
Aralbek Rsaliyev ◽  
Gulbahar Yskakova ◽  
Yerlan Turuspekov
Keyword(s):  
Association Studies ◽  
Recombinant Inbred Lines ◽  
Adult Plant ◽  
Growth Stages ◽  
Genome Wide Association Studies ◽  
Rust Diseases ◽  
Plant Growth Stages ◽  
Local Breeding ◽  
Disease Resistances ◽  
Grain Yield And Quality

Leaf rust (LR) and stem rust (SR) pose serious challenges to wheat production in Kazakhstan. In recent years, the susceptibility of local wheat cultivars has substantially decreased grain yield and quality. Therefore, local breeding projects must be adjusted toward the improvement of LR and SR disease resistances, including genetic approaches. In this study, a spring wheat segregating population of Pamyati Azieva (PA) × Paragon (Par), consisting of 98 recombinant inbred lines (RILs), was analyzed for the resistance to LR and SR at the seedling and adult plant-growth stages. In total, 24 quantitative trait loci (QTLs) for resistance to rust diseases at the seedling and adult plant stages were identified, including 11 QTLs for LR and 13 QTLs for SR resistances. Fourteen QTLs were in similar locations to QTLs and major genes detected in previous linkage mapping and genome-wide association studies. The remaining 10 QTLs are potentially new genetic factors for LR and SR resistance in wheat. Overall, the QTLs revealed in this study may play an important role in the improvement of wheat resistance to LR and SR per the marker-assisted selection approach.

Genome-wide association studies revealed novel stripe rust resistance QTL in barley at seedling and adult-plant stages

Euphytica ◽  
2021 ◽  
Vol 217 (1) ◽  
Author(s):  
Sanjaya Gyawali ◽  
Sujan Mamidi ◽  
Shiaoman Chao ◽  
Subhash C. Bhardwaj ◽  
Pradeep S. Shekhawat ◽  
...  
Keyword(s):  
Stripe Rust ◽  
Rust Resistance ◽  
Association Studies ◽  
Genome Wide Association ◽  
Stripe Rust Resistance ◽  
Adult Plant ◽  
Genome Wide Association Studies ◽  
Resistance Qtl ◽  
Genome Wide

scholarly journals Precision Mapping of a Maize MAGIC Population Identified a Candidate Gene for the Senescence-Associated Physiological Traits

2021 ◽  
Vol 12 ◽  
Author(s):  
Marlon Caicedo ◽  
Eduardo D. Munaiz ◽  
Rosa A. Malvar ◽  
José C. Jiménez ◽  
Bernardo Ordas
Keyword(s):  
Candidate Gene ◽  
Defense Mechanism ◽  
Agronomic Traits ◽  
Association Studies ◽  
Recombinant Inbred Lines ◽  
Sugar Transport ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Important Trait

Senescence is an important trait in maize (Zea mais L.), a key crop that provides nutrition values and a renewable source of bioenergy worldwide. Genome-wide association studies (GWAS) can be used to identify causative genetic variants that influence the major physiological measures of senescence, which is used by plants as a defense mechanism against abiotic and biotic stresses affecting its performance. We measured four physiological and two agronomic traits that affect senescence. Six hundred seventy-two recombinant inbred lines (RILs) were evaluated in two consecutive years. Thirty-six candidate genes were identified by genome-wide association study (GWAS), and 11 of them were supported by additional evidence for involvement in senescence-related processes including proteolysis, sugar transport, and sink activity. We identified a candidate gene, Zm00001d043586, significantly associated with chlorophyll, and independently studied its transcription expression in an independent panel. Our results showed that Zm00001d043586 affects chlorophyl rate degradation, a key determinant of senescence, at late plant development stages. These results contribute to better understand the genetic relationship of the important trait senescence with physiology related parameters in maize and provide new putative molecular markers that can be used in marker assisted selection for line development.

scholarly journals Multiple association analysis of loci and candidate genes that regulate body size at three growth stages in Simmental beef cattle

2020 ◽  
Author(s):  
Bingxing An ◽  
Lei Xu ◽  
Jiangwei Xia ◽  
Xiaoqiao Wang ◽  
Jian Miao ◽  
...  
Keyword(s):  
Body Size ◽  
Beef Cattle ◽  
Candidate Genes ◽  
Association Analysis ◽  
Growth Traits ◽  
Association Studies ◽  
Growth Stages ◽  
Genome Wide Association Studies ◽  
Trait Analysis ◽  
Multiple Association

Abstract Background: Body size traits as one of the main breeding selection criteria was widely used to monitor cattle growth and to evaluate the selection response. In this study, body size was defined as body height (BH), body length (BL), hip height (HH), heart size (HS), abdominal size (AS), and cannon bone size (CS). We performed genome-wide association studies (GWAS) of these traits over the course of three growth stages (6, 12 and 18 months after birth) using three statistical models, single-trait GWAS, multi-trait GWAS and LONG-GWAS. The Illumina Bovine HD 770K BeadChip was used to identify genomic single nucleotide polymorphisms (SNPs) in 1217 individuals. Results: In total, 19, 29, and 10 significant SNPs were identified by the three models, respectively. Among these, 21 genes were promising candidate genes, including SOX2, SNRPD1, RASGEF1B, EFNA5, PTBP1, SNX9, SV2C, PKDCC, SYNDIG1, AKR1E2, and PRIM2 identified by single-trait analysis; SLC37A1, LAP3, PCDH7, MANEA, and LHCGR identified by multi-trait analysis; and P2RY1, MPZL1, LINGO2, CMIP, and WSCD1 identified by LONG-GWAS. Conclusions: Multiple association analysis was performed for six growth traits at each growth stage. These findings offer valuable insights for the further investigation of potential genetic mechanism of growth traits in Simmental beef cattle.

scholarly journals Multiple association analysis of loci and candidate genes that regulate body size at three growth stages in Simmental beef cattle

2020 ◽  
Author(s):  
Bingxing An ◽  
Lei Xu ◽  
Jiangwei Xia ◽  
Xiaoqiao Wang ◽  
Jian Miao ◽  
...  
Keyword(s):  
Body Size ◽  
Beef Cattle ◽  
Candidate Genes ◽  
Association Analysis ◽  
Growth Traits ◽  
Association Studies ◽  
Growth Stages ◽  
Genome Wide Association Studies ◽  
Trait Analysis ◽  
Multiple Association

Abstract Background: Body size traits as one of the main breeding selection criteria was widely used to monitor cattle growth and to evaluate the selection response. In this study, body size was defined as body height (BH), body length (BL), hip height (HH), heart size (HS), abdominal size (AS), and cannon bone size (CS). We performed genome-wide association studies (GWAS) of these traits over the course of three growth stages (6, 12 and 18 months after birth) using three statistical models, single-trait GWAS, multi-trait GWAS and LONG-GWAS. The Illumina Bovine HD 770K BeadChip was used to identify genomic single nucleotide polymorphisms (SNPs) in 1217 individuals. Results: In total, 19, 29, and 10 significant SNPs were identified by the three models, respectively. Among these, 21 genes were promising candidate genes, including SOX2, SNRPD1, RASGEF1B, EFNA5, PTBP1, SNX9, SV2C, PKDCC, SYNDIG1, AKR1E2, and PRIM2 identified by single-trait analysis; SLC37A1, LAP3, PCDH7, MANEA, and LHCGR identified by multi-trait analysis; and P2RY1, MPZL1, LINGO2, CMIP, and WSCD1 identified by LONG-GWAS. Conclusions: Multiple association analysis was performed for six growth traits at each growth stage. These findings offer valuable insights for the further investigation of potential genetic mechanism of growth traits in Simmental beef cattle.

scholarly journals Combining Trait Physiology, Crop Modelling and Molecular Genetics to Improve Wheat Adaptation to Terminal Water-Stress Targeting Stay-Green and Root Traits

Proceedings ◽  
2020 ◽  
Vol 36 (1) ◽  
pp. 196
Author(s):  
Jack Christopher ◽  
Cecile Richard ◽  
Karine Chenu ◽  
Mandy Christopher ◽  
Valeria Paccapello ◽  
...  
Keyword(s):  
Root Length Density ◽  
Association Studies ◽  
Recombinant Inbred Lines ◽  
Physiological Adaptation ◽  
Future Climate Change ◽  
Genome Wide Association Studies ◽  
Genetic Progress ◽  
Deep Soil ◽  
Stay Green ◽  
Terminal Drought

Terminal drought stress is currently a major constraint in many wheat production regions. This is predicted to worsen with future climate change. The stay-green phenotype allows crops to remain green and photosynthesize for longer after anthesis, potentially improving yields in terminal drought environments. Root systems with greater root length density at depth can contribute by increasing access to deep soil moisture late in the season. To study the genetics of root and stay-green traits in wheat, a multi reference parent nested association mapping (NAM) population was developed. Using the “speed breeding” system of rapid generation advance, over 1500 recombinant inbred lines (RIL) were generated in approximately 18 months. Genome-wide association studies (GWAS) using a novel whole-genome NAM method (WG-NAM) identified genetic regions associated with the target traits. High-throughput techniques were developed and used for the NAM lines to (i) phenotype seedling roots in controlled conditions, and (ii) objectively characterize novel stay-green traits for hundreds of genotypes in standard yield plots in the field. NAM lines were phenotyped for yield and stay-green traits at multiple water-stressed and non-stressed environments during 4 seasons. Particular traits were associated with superior adaptation to certain environments. Many lines with adaptive root and stay-green traits exhibited superior yield to the reference parent in relevant target environments and 54 such lines have been provided to commercial Australian wheat breeders for cultivar development. This combination of technologies is increasing understanding of physiological adaptation to water-limited environments in wheat and helping accelerate genetic progress.

scholarly journals Unstable inheritance of 45S rRNA genes in Arabidopsis thaliana

2016 ◽  
Author(s):  
Fernando A. Rabanal ◽  
Viktoria Nizhynska ◽  
Terezie Mandáková ◽  
Polina Yu. Novikova ◽  
Martin A. Lysak ◽  
...  
Keyword(s):  
Arabidopsis Thaliana ◽  
Copy Number ◽  
Association Studies ◽  
Recombinant Inbred Lines ◽  
Gene Copy Number ◽  
Rrna Genes ◽  
Gene Copy ◽  
Nucleolar Organizer Regions ◽  
Rrna Gene ◽  
Genome Wide Association Studies

AbstractThe considerable genome size variation in Arabidopsis thaliana has been shown largely to be due to copy number variation (CNV) in 45S ribosomal RNA (rRNA) genes. Surprisingly, attempts to map this variation by means of genome-wide association studies (GWAS) failed to identify either of the two likely sources, namely the nucleolar organizer regions (NORs). Instead, GWAS implicated a trans-acting locus, as if rRNA CNV was a phenotype rather than a genotype. To explain these results, we investigated the inheritance and stability of rRNA gene copy number using the variety of genetic resources available in A. thaliana — F2 crosses, recombinant inbred lines, the multiparent advanced generation inter-cross population, and mutation accumulation lines. Our results clearly show that rRNA gene CNV can be mapped to the NORs themselves, with both loci contributing equally to the variation. However, NOR size is unstably inherited, and dramatic copy number changes are visible already within tens of generations, which explains why it is not possible to map the NORs using GWAS. We did not find any evidence of trans-acting loci in crosses, which is also expected since changes due to such loci would take very many generations to manifest themselves. rRNA gene copy number is thus an interesting example of “missing heritability” — a trait that is heritable in pedigrees, but not in the general population.

scholarly journals Multiple association analysis of loci and candidate genes that regulate body size at three growth stages in Simmental beef cattle

2020 ◽  
Author(s):  
Bingxing An ◽  
Lei Xu ◽  
Jiangwei Xia ◽  
Xiaoqiao Wang ◽  
Jian Miao ◽  
...  
Keyword(s):  
Body Size ◽  
Beef Cattle ◽  
Candidate Genes ◽  
Association Analysis ◽  
Growth Traits ◽  
Association Studies ◽  
Growth Stages ◽  
Genome Wide Association Studies ◽  
Trait Analysis ◽  
Multiple Association

Abstract Background: Body size traits as one of the main breeding selection criteria was widely used to monitor cattle growth and to evaluate the selection response. In this study, body size was defined as body height (BH), body length (BL), hip height (HH), heart size (HS), abdominal size (AS), and cannon bone size (CS). We performed genome-wide association studies (GWAS) of these traits over the course of three growth stages (6, 12 and 18 months after birth) using three statistical models, single-trait GWAS, multi-trait GWAS and LONG-GWAS. The Illumina Bovine HD 770K BeadChip was used to identify genomic single nucleotide polymorphisms (SNPs) in 1217 individuals. Results: In total, 19, 29, and 10 significant SNPs were identified by the three models, respectively. Among these, 21 genes were promising candidate genes, including SOX2, SNRPD1, RASGEF1B, EFNA5, PTBP1, SNX9, SV2C, PKDCC, SYNDIG1, AKR1E2, and PRIM2 identified by single-trait analysis; SLC37A1, LAP3, PCDH7, MANEA, and LHCGR identified by multi-trait analysis; and P2RY1, MPZL1, LINGO2, CMIP, and WSCD1 identified by LONG-GWAS. Conclusions: Multiple association analysis was performed for six growth traits at each growth stage. These findings offer valuable insights for the further investigation of potential genetic mechanism of growth traits in Simmental beef cattle.

scholarly journals Multiple association analysis of loci and candidate genes that regulate body size at three growth stages in Simmental beef cattle

2020 ◽  
Author(s):  
Bingxing An ◽  
Lei Xu ◽  
Jiangwei Xia ◽  
Xiaoqiao Wang ◽  
Jian Miao ◽  
...  
Keyword(s):  
Body Size ◽  
Beef Cattle ◽  
Candidate Genes ◽  
Association Analysis ◽  
Growth Traits ◽  
Association Studies ◽  
Growth Stages ◽  
Genome Wide Association Studies ◽  
Trait Analysis ◽  
Multiple Association

Abstract Background: Body size traits as one of the main breeding selection criteria was widely used to monitor cattle growth and to evaluate the selection response. In this study, body size was defined as body height (BH), body length (BL), hip height (HH), heart size (HS), abdominal size (AS), and cannon bone size (CS). We performed genome-wide association studies (GWAS) of these traits over the course of three growth stages (6, 12 and 18 months after birth) using three statistical models, single-trait GWAS, multi-trait GWAS and LONG-GWAS. The Illumina Bovine HD 770K BeadChip was used to identify genomic single nucleotide polymorphisms (SNPs) in 1217 individuals. Results: In total, 19, 29, and 10 significant SNPs were identified by the three models, respectively. Among these, 21 genes were promising candidate genes, including SOX2, SNRPD1, RASGEF1B, EFNA5, PTBP1, SNX9, SV2C, PKDCC, SYNDIG1, AKR1E2, and PRIM2 identified by single-trait analysis; SLC37A1, LAP3, PCDH7, MANEA, and LHCGR identified by multi-trait analysis; and P2RY1, MPZL1, LINGO2, CMIP, and WSCD1 identified by LONG-GWAS. Conclusions: Multiple association analysis was performed for six growth traits at each growth stage. These findings offer valuable insights for the further investigation of potential genetic mechanism of growth traits in Simmental beef cattle.

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