Genetic Dissection of Seedling Root System Architectural Traits in a Diverse Panel of Hexaploid Wheat through Multi-Locus Genome-Wide Association Mapping for Improving Drought Tolerance

2021 ◽  
Vol 22 (13) ◽  
pp. 7188
T. Danakumara ◽  
Jyoti Kumari ◽  
Amit Kumar Singh ◽  
Subodh Kumar Sinha ◽  
Anjan Kumar Pradhan ◽  

Cultivars with efficient root systems play a major role in enhancing resource use efficiency, particularly water absorption, and thus in drought tolerance. In this study, a diverse wheat association panel of 136 wheat accessions including mini core subset was genotyped using Axiom 35k Breeders’ Array to identify genomic regions associated with seedling stage root architecture and shoot traits using multi-locus genome-wide association studies (ML-GWAS). The association panel revealed a wide variation of 1.5- to 50- fold and were grouped into six clusters based on 15 traits. Six different ML-GWAS models revealed 456 significant quantitative trait nucleotides (QTNs) for various traits with phenotypic variance in the range of 0.12–38.60%. Of these, 87 QTNs were repeatedly detected by two or more models and were considered reliable genomic regions for the respective traits. Among these QTNs, eleven were associated with average diameter and nine each for second order lateral root number (SOLRN), root volume (RV) and root length density (RLD). A total of eleven genomic regions were pleiotropic and each controlled two or three traits. Some important candidate genes such as Formin homology 1, Ubiquitin-like domain superfamily and ATP-dependent 6-phosphofructokinase were identified from the associated genomic regions. The genomic regions/genes identified in this study could potentially be targeted for improving root traits and drought tolerance in wheat.

2020 ◽  
Vol 10 (4) ◽  
pp. 1413-1425
Clinton J. Steketee ◽  
William T. Schapaugh ◽  
Thomas E. Carter ◽  
Zenglu Li

Drought stress causes the greatest soybean [Glycine max (L.) Merr.] yield losses among the abiotic stresses in rain-fed U.S. growing areas. Because less than 10% of U.S. soybean hectares are irrigated, combating this stress requires soybean plants which possess physiological mechanisms to tolerate drought for a period of time. Phenotyping for these mechanisms is challenging, and the genetic architecture for these traits is poorly understood. A morphological trait, slow or delayed canopy wilting, has been observed in a few exotic plant introductions (PIs), and may lead to yield improvement in drought stressed fields. In this study, we visually scored wilting during stress for a panel of 162 genetically diverse maturity group VI-VIII soybean lines genotyped with the SoySNP50K iSelect BeadChip. Field evaluation of canopy wilting was conducted under rain-fed conditions at two locations (Athens, GA and Salina, KS) in 2015 and 2016. Substantial variation in canopy wilting was observed among the genotypes. Using a genome-wide association mapping approach, 45 unique SNPs that tagged 44 loci were associated with canopy wilting in at least one environment with one region identified in a single environment and data from across all environments. Several new soybean accessions were identified with canopy wilting superior to those of check genotypes. The germplasm and genomic regions identified can be used to better understand the slow canopy wilting trait and be incorporated into elite germplasm to improve drought tolerance in soybean.

2012 ◽  
Vol 44 (4) ◽  
pp. 454-457 ◽  
Naohiko Okumura ◽  
Toshimi Matsumoto ◽  
Takeshi Hayashi ◽  
Kensuke Hirose ◽  
Kazuo Fukawa ◽  

2019 ◽  
Vol 97 (8) ◽  
pp. 3253-3261 ◽  
Lianna R Walker ◽  
Erin E Jobman ◽  
Kylee M Sutton ◽  
J’Nan Wittler ◽  
Rodger K Johnson ◽  

Abstract Porcine reproductive and respiratory syndrome virus (PRRSV) is an economically important pathogen that continues to threaten swine industry sustainability. The complexity and high genetic diversity of PRRSV has prevented vaccines from conferring adequate protection against disease outbreaks. Genome-wide association analyses of PRRSV experimentally infected pigs representing two genetic lines (n = 174 to 176) revealed two major genomic regions accounting for ~1.2% of the genetic variation in PRRSV-specific antibody level in serum or lung. The major region for serum antibody was mapped to SSC7 near the SLAII complex, which has also been implicated in susceptibility to other swine viral pathogens. Haplotype substitution analysis uncovered potential DQB1 haplotypes associated with divergent effects. A novel major region for lung antibody was mapped to the proximal end of SSC17 with the top SNP overlapping two genes, PRAG1 and LONRF1. Sequencing LONRF1 uncovered polymorphisms within the coding region that may play a role in regulating PRRSV-specific antibody production in lung tissue following PRRSV infection. These data implicate novel host genomic regions (SSC17) that influence PRRSV-specific immune response as well as a common region (SSC7) potentially involved in susceptibility to multiple viral pathogens.

Gut ◽  
2017 ◽  
Vol 67 (7) ◽  
pp. 1366-1368 ◽  
Caiwang Yan ◽  
Meng Zhu ◽  
Tongtong Huang ◽  
Fei Yu ◽  
Guangfu Jin

2017 ◽  
Vol 37 (11) ◽  
Hua Chen ◽  
Kassa Semagn ◽  
Muhammad Iqbal ◽  
Neshat Pazooki Moakhar ◽  
Teketel Haile ◽  

Sign in / Sign up

Export Citation Format

Share Document