scholarly journals Nested association mapping reveals the genetic architecture of spike emergence and anthesis timing in intermediate wheatgrass

2021 ◽  
Author(s):  
Kayla R Altendorf ◽  
Steve Larson ◽  
Lee R DeHaan ◽  
Jared Crain ◽  
Jeff Neyhart ◽  
...  
Keyword(s):  
Association Mapping ◽  
Flowering Time ◽  
Genetic Control ◽  
Genetic Architecture ◽  
Agronomic Traits ◽  
Snp Markers ◽  
Grass Species ◽  
Crop Species ◽  
Nested Association Mapping ◽  
Intermediate Wheatgrass

Abstract Intermediate wheatgrass (Thinopyrum intermedium) is an outcrossing, cool season grass species currently undergoing direct domestication as a perennial grain crop. Though many traits are selection targets, understanding the genetic architecture of those important for local adaptation may accelerate the domestication process. Nested association mapping (NAM) has proven useful in dissecting the genetic control of agronomic traits many crop species, but its utility in primarily outcrossing, perennial species has yet to be demonstrated. Here we introduce an intermediate wheatgrass NAM developed by crossing ten phenotypically divergent donor parents to an adapted common parent in a reciprocal manner, yielding 1,168 F1 progeny from 10 families. Using genotyping by sequencing, we identified 8,003 SNP markers and developed a population-specific consensus genetic map with 3,144 markers across 21 linkage groups. Using both genomewide association mapping and linkage mapping combined across and within families, we characterize the genetic control of flowering time. In the analysis of two measures of maturity across four separate environments, we detected as many as 75 significant QTL, many of which correspond to the same regions in both analysis methods across 11 chromosomes. The results demonstrate a complex genetic control that is variable across years, locations, traits, and within families. The methods were effective at detecting previously identified QTL, as well as new QTL that align closely to the well-characterized flowering time orthologs from barley, including Ppd-H1 and Constans. Our results demonstrate the utility of the NAM for understanding the genetic control of flowering time and its potential for application to other traits of interest.

scholarly journals Modelling the genetic architecture of flowering time control in barley through nested association mapping

BMC Genomics ◽  
2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Andreas Maurer ◽  
Vera Draba ◽  
Yong Jiang ◽  
Florian Schnaithmann ◽  
Rajiv Sharma ◽  
...  
Keyword(s):  
Association Mapping ◽  
Flowering Time ◽  
Genetic Architecture ◽  
Nested Association Mapping ◽  
Time Control ◽  
Flowering Time Control

Nested association mapping of important agronomic traits in three interspecific soybean populations

2020 ◽  
Vol 133 (3) ◽  
pp. 1039-1054 ◽  
Author(s):  
Eduardo Beche ◽  
Jason D. Gillman ◽  
Qijian Song ◽  
Randall Nelson ◽  
Tim Beissinger ◽  
...  
Keyword(s):  
Association Mapping ◽  
Agronomic Traits ◽  
Nested Association Mapping

scholarly journals Genome-Wide Association Studies and Genomic Selection for Grain Protein Content Stability in a Nested Association Mapping Population of Spring Wheat

2021 ◽  
Author(s):  
Karansher S. Sandhu ◽  
Paul D. Mihalyov ◽  
Megan J. Lewien ◽  
Michael O. Pumphrey ◽  
Arron H Carter
Keyword(s):  
Association Mapping ◽  
Protein Content ◽  
Genomic Selection ◽  
Genetic Control ◽  
Spring Wheat ◽  
Grain Protein Content ◽  
Genome Wide Association ◽  
Grain Protein ◽  
Nested Association Mapping ◽  
Genome Wide

Grain protein content (GPC) is controlled by complex genetic systems and their interactions, and is an important quality determinant for hard spring wheat as it has a positive effect on bread and pasta quality. GPC is variable among genotypes and strongly influenced by environment. Thus, understanding the genetic control of wheat GPC and identifying genotypes with improved stability is an important breeding goal. The objectives of this research were to identify genetic backgrounds with less variation for GPC across environments and identify quantitative trait loci (QTLs) controlling the stability of GPC. A spring wheat nested association mapping (NAM) population of 650 recombinant inbred lines (RIL) derived from 26 diverse founder parents crossed to one common parent, 'Berkut', was phenotyped over three years of field trials (2014-2016). Genomic selection models were developed and compared based on prediction of GPC and GPC stability. After observing variable genetic control of GPC within the NAM population, seven RIL families displaying reduced marker-by-environment interaction were selected based on a stability index derived from Finlay-Wilkinson regression. A genome-wide association study identified seven significant QTLs for GPC stability with a Bonferroni-adjusted P value <0.05. This study also demonstrated that genome-wide prediction of GPC with ridge regression best linear unbiased estimates reached up to r = 0.69. Genomic selection can be used to apply selection pressure for GPC and improve genetic gain for GPC.

scholarly journals Genomic Selection and Genome-Wide Association Studies for Grain Protein Content Stability in a Nested Association Mapping Population of Wheat

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2528
Author(s):  
Karansher S. Sandhu ◽  
Paul D. Mihalyov ◽  
Megan J. Lewien ◽  
Michael O. Pumphrey ◽  
Arron H. Carter
Keyword(s):  
Association Mapping ◽  
Protein Content ◽  
Genomic Selection ◽  
Genetic Control ◽  
Spring Wheat ◽  
Grain Protein Content ◽  
Genome Wide Association ◽  
Grain Protein ◽  
Nested Association Mapping ◽  
Genome Wide

Grain protein content (GPC) is controlled by complex genetic systems and their interactions and is an important quality determinant for hard spring wheat as it has a positive effect on bread and pasta quality. GPC is variable among genotypes and strongly influenced by the environment. Thus, understanding the genetic control of wheat GPC and identifying genotypes with improved stability is an important breeding goal. The objectives of this research were to identify genetic backgrounds with less variation for GPC across environments and identify quantitative trait loci (QTLs) controlling the stability of GPC. A spring wheat nested association mapping (NAM) population of 650 recombinant inbred lines (RIL) derived from 26 diverse founder parents crossed to one common parent, ‘Berkut’, was phenotyped over three years of field trials (2014–2016). Genomic selection models were developed and compared based on predictions of GPC and GPC stability. After observing variable genetic control of GPC within the NAM population, seven RIL families displaying reduced marker-by-environment interaction were selected based on a stability index derived from a Finlay–Wilkinson regression. A genome-wide association study identified eighteen significant QTLs for GPC stability with a Bonferroni-adjusted p-value < 0.05 using four different models and out of these eighteen QTLs eight were identified by two or more GWAS models simultaneously. This study also demonstrated that genome-wide prediction of GPC with ridge regression best linear unbiased estimates reached up to r = 0.69. Genomic selection can be used to apply selection pressure for GPC and improve genetic gain for GPC.

scholarly journals Mapping Agronomic Traits in a Wild Barley Advanced Backcross-Nested Association Mapping Population

Crop Science ◽  
2017 ◽  
Vol 57 (3) ◽  
pp. 1199-1210 ◽  
Author(s):  
Liana M. Nice ◽  
Brian J. Steffenson ◽  
Thomas K. Blake ◽  
Richard D. Horsley ◽  
Kevin P. Smith ◽  
...  
Keyword(s):  
Association Mapping ◽  
Wild Barley ◽  
Agronomic Traits ◽  
Mapping Population ◽  
Nested Association Mapping ◽  
Advanced Backcross ◽  
Nested Association Mapping Population ◽  
Association Mapping Population

scholarly journals Uncovering the Genetic Architecture of Seed Weight and Size in Intermediate Wheatgrass through Linkage and Association Mapping

2017 ◽  
Vol 10 (3) ◽  
Author(s):  
Xiaofei Zhang ◽  
Steven R. Larson ◽  
Liangliang Gao ◽  
Soon Li Teh ◽  
Lee R. DeHaan ◽  
...  
Keyword(s):  
Association Mapping ◽  
Seed Weight ◽  
Genetic Architecture ◽  
Intermediate Wheatgrass

scholarly journals TeoNAM: a nested association mapping population for domestication and agronomic trait analysis in maize

2019 ◽  
Author(s):  
Qiuyue Chen ◽  
Chin Jian Yang ◽  
Alessandra M. York ◽  
Wei Xue ◽  
Lora L. Daskalska ◽  
...  
Keyword(s):  
Association Mapping ◽  
Complex Traits ◽  
Agronomic Traits ◽  
Mapping Population ◽  
Allelic Variation ◽  
Recombinant Inbred Lines ◽  
Inbred Lines ◽  
Nested Association Mapping ◽  
Nested Association Mapping Population ◽  
Association Mapping Population

AbstractRecombinant inbred lines (RILs) are an important resource for mapping genes controlling complex traits in many species. While RIL populations have been developed for maize, a maize RIL population with multiple teosinte inbred lines as parents has been lacking. Here, we report a teosinte nested association mapping population (TeoNAM), derived from crossing five teosinte inbreds to the maize inbred line W22. The resulting 1257 BC1S4 RILs were genotyped with 51,544 SNPs, providing a high-density genetic map with a length of 1540 cM. On average, each RIL is 15% homozygous teosinte and 8% heterozygous. We performed joint linkage mapping (JLM) and genome-wide association study (GWAS) for 22 domestication and agronomic traits. A total of 255 QTLs from JLM were identified with many of these mapping to known genes or novel candidate genes. TeoNAM is a useful resource for QTL mapping for the discovery of novel allelic variation from teosinte. TeoNAM provides the first report that PROSTRATE GROWTH1, a rice domestication gene, is also a QTL associated with tillering in teosinte and maize. We detected multiple QTLs for flowering time and other traits for which the teosinte allele contributes to a more maize-like phenotype. Such QTL could be valuable in maize improvement.

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