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 ◽  
...  
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 ◽  
...  

2019 ◽  
Author(s):  
Qiuyue Chen ◽  
Chin Jian Yang ◽  
Alessandra M. York ◽  
Wei Xue ◽  
Lora L. Daskalska ◽  
...  

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.


Author(s):  
Kayla R Altendorf ◽  
Steve Larson ◽  
Lee R DeHaan ◽  
Jared Crain ◽  
Jeff Neyhart ◽  
...  

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.


Plants ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1255
Author(s):  
Justine K. Kitony ◽  
Hidehiko Sunohara ◽  
Mikako Tasaki ◽  
Jun-Ichi Mori ◽  
Akihisa Shimazu ◽  
...  

A genetic resource for studying genetic architecture of agronomic traits and environmental adaptation is essential for crop improvements. Here, we report the development of a rice nested association mapping population (aus-NAM) using 7 aus varieties as diversity donors and T65 as the common parent. Aus-NAM showed broad phenotypic variations. To test whether aus-NAM was useful for quantitative trait loci (QTL) mapping, known flowering genes (Ehd1, Hd1, and Ghd7) in rice were characterized using single-family QTL mapping, joint QTL mapping, and the methods based on genome-wide association study (GWAS). Ehd1 was detected in all the seven families and all the methods. On the other hand, Hd1 and Ghd7 were detected in some families, and joint QTL mapping and GWAS-based methods resulted in weaker and uncertain peaks. Overall, the high allelic variations in aus-NAM provide a valuable genetic resource for the rice community.


PLoS ONE ◽  
2019 ◽  
Vol 14 (8) ◽  
pp. e0221064 ◽  
Author(s):  
Shyryn Almerekova ◽  
Burabai Sariev ◽  
Aigul Abugalieva ◽  
Vladimir Chudinov ◽  
Grigoriy Sereda ◽  
...  

Plants ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 10
Author(s):  
Sebastian Zahn ◽  
Thomas Schmutzer ◽  
Klaus Pillen ◽  
Andreas Maurer

Straw biomass and stability are crucial for stable yields. Moreover, straw harbors the potential to serve as a valuable raw material for bio-economic processes. The peduncle is the top part of the last shoot internode and carries the spike. This study investigates the genetic control of barley peduncle morphology. Therefore, 1411 BC1S3 lines of the nested association mapping (NAM) population “Halle Exotic Barley 25” (HEB-25), generated by crossing the spring barley elite cultivar Barke with an assortment of 25 exotic barley accessions, were used. Applying 50k Illumina Infinium iSelect SNP genotyping yielded new insights and a better understanding of the quantitative trait loci (QTL) involved in controlling the peduncle diameter traits, we found the total thickness of peduncle tissues and the area of the peduncle cross-section. We identified three major QTL regions on chromosomes 2H and 3H mainly impacting the traits. Remarkably, the exotic allele at the QTL on chromosome 3H improved all three traits investigated in this work. Introgressing this QTL in elite cultivars might facilitate to adjust peduncle morphology for improved plant stability or enlarged straw biomass production independent of flowering time and without detrimental effects on grain yield.


PLoS ONE ◽  
2016 ◽  
Vol 11 (10) ◽  
pp. e0163739 ◽  
Author(s):  
Luciano Rogério Braatz de Andrade ◽  
Roberto Fritsche Neto ◽  
Ítalo Stefanine Correia Granato ◽  
Gustavo César Sant’Ana ◽  
Pedro Patric Pinho Morais ◽  
...  

2016 ◽  
Vol 64 (10) ◽  
pp. 2162-2172 ◽  
Author(s):  
Tyamagondlu V. Venkatesh ◽  
Alexander W. Chassy ◽  
Oliver Fiehn ◽  
Sherry Flint-Garcia ◽  
Qin Zeng ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Jordan Ubbens ◽  
Mikolaj Cieslak ◽  
Przemyslaw Prusinkiewicz ◽  
Isobel Parkin ◽  
Jana Ebersbach ◽  
...  

Association mapping studies have enabled researchers to identify candidate loci for many important environmental tolerance factors, including agronomically relevant tolerance traits in plants. However, traditional genome-by-environment studies such as these require a phenotyping pipeline which is capable of accurately measuring stress responses, typically in an automated high-throughput context using image processing. In this work, we present Latent Space Phenotyping (LSP), a novel phenotyping method which is able to automatically detect and quantify response-to-treatment directly from images. We demonstrate example applications using data from an interspecific cross of the model C4 grass Setaria, a diversity panel of sorghum (S. bicolor), and the founder panel for a nested association mapping population of canola (Brassica napus L.). Using two synthetically generated image datasets, we then show that LSP is able to successfully recover the simulated QTL in both simple and complex synthetic imagery. We propose LSP as an alternative to traditional image analysis methods for phenotyping, enabling the phenotyping of arbitrary and potentially complex response traits without the need for engineering-complicated image-processing pipelines.


2016 ◽  
Vol 8 (18) ◽  
pp. 134-143 ◽  
Author(s):  
Faramarz Hoshyardel ◽  
Reza Darvishzadeh ◽  
Ashkan Basirnia ◽  
Hamid Hatami Maleki

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