Population Structure of the World Vegetable Center Mungbean Mini Core Collection and Genome-Wide Association Mapping of Loci Associated with Variation of Seed Coat Luster

2019 ◽  
Vol 13 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Caleb Manamik Breria ◽  
Ching Hsiang Hsieh ◽  
Jo-Yi Yen ◽  
Ramakrishnan Nair ◽  
Chen-Yu Lin ◽  
...  
Genomics ◽  
2019 ◽  
Vol 111 (6) ◽  
pp. 1794-1801 ◽  
Author(s):  
Nathanael Fickett ◽  
Andres Gutierrez ◽  
Mohit Verma ◽  
Michael Pontif ◽  
Anna Hale ◽  
...  

PLoS ONE ◽  
2019 ◽  
Vol 14 (10) ◽  
pp. e0224074 ◽  
Author(s):  
Namhee Jeong ◽  
Ki-Seung Kim ◽  
Seongmun Jeong ◽  
Jae-Yoon Kim ◽  
Soo-Kwon Park ◽  
...  

2017 ◽  
Author(s):  
Haohan Wang ◽  
Xiang Liu ◽  
Yunpeng Xiao ◽  
Ming Xu ◽  
Eric P. Xing

AbstractGenome-wide Association Study has presented a promising way to understand the association between human genomes and complex traits. Many simple polymorphic loci have been shown to explain a significant fraction of phenotypic variability. However, challenges remain in the non-triviality of explaining complex traits associated with multifactorial genetic loci, especially considering the confounding factors caused by population structure, family structure, and cryptic relatedness. In this paper, we propose a Squared-LMM (LMM2) model, aiming to jointly correct population and genetic confounding factors. We offer two strategies of utilizing LMM2 for association mapping: 1) It serves as an extension of univariate LMM, which could effectively correct population structure, but consider each SNP in isolation. 2) It is integrated with the multivariate regression model to discover association relationship between complex traits and multifactorial genetic loci. We refer to this second model as sparse Squared-LMM (sLMM2). Further, we extend LMM2/sLMM2 by raising the power of our squared model to the LMMn/sLMMn model. We demonstrate the practical use of our model with synthetic phenotypic variants generated from genetic loci of Arabidopsis Thaliana. The experiment shows that our method achieves a more accurate and significant prediction on the association relationship between traits and loci. We also evaluate our models on collected phenotypes and genotypes with the number of candidate genes that the models could discover. The results suggest the potential and promising usage of our method in genome-wide association studies.


2017 ◽  
Vol 65 (26) ◽  
pp. 5229-5237 ◽  
Author(s):  
Jia Wang ◽  
Xiaohua Xian ◽  
Xinfu Xu ◽  
Cunmin Qu ◽  
Kun Lu ◽  
...  

2022 ◽  
Vol 54 (4) ◽  
Author(s):  
Rizwan Qaiser ◽  
Zahid Akram ◽  
Shahzad Asad ◽  
Inam-Ul Haq ◽  
Saad Imran Malik ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Caléo Panhoca de Almeida ◽  
Isabella Laporte Santos ◽  
Jean Fausto de Carvalho Paulino ◽  
Caio Cesar Ferrari Barbosa ◽  
Cássia Cristina Augusto Pereira ◽  
...  

Abstract Background Common bean (Phaseolus vulgaris L.) is a legume whose grain can be stored for months, a common practice among Brazilian growers. Over time, seed coats become darker and harder to cook, traits that are undesirable to consumers, who associate darker-colored beans with greater age. Like commercial pinto and cranberry bean varieties, carioca beans that have darker seeds at harvest time and after storage are subject to decreased market values. Results The goal of our study was to identify the genetic control associated with lightness of seed coat color at harvest (HL) and with tolerance to post-harvest seed coat darkening (PHD) by a genome-wide association study. For that purpose, a carioca diversity panel previously validated for association mapping studies was used with 138 genotypes and 1,516 high-quality SNPs. The panel was evaluated in two environments using a colorimeter and the CIELAB scale. Shelf storage for 30 days had the most expressive results and the L* (luminosity) parameter led to the greatest discrimination of genotypes. Three QTL were identified for HL, two on chromosome Pv04 and one on Pv10. Regarding PHD, results showed that genetic control differs for L* after 30 days and for the ΔL* (final L*—initial L*); only ΔL* was able to properly express the PHD trait. Four phenotypic classes were proposed, and five QTL were identified through six significant SNPs. Conclusions Lightness of seed coat color at harvest showed an oligogenic inheritance corroborated by moderate broad-sense heritability and high genotypic correlation among the experiments. Only three QTL were significant for this trait – two were mapped on Pv04 and one on Pv10. Considering the ΔL, six QTL were mapped on four different chromosomes for PHD. The same HL QTL at the beginning of Pv10 was also associated with ΔL* and could be used as a tool in marker-assisted selection. Several candidate genes were identified and may be useful to accelerate the genetic breeding process.


PLoS ONE ◽  
2014 ◽  
Vol 9 (4) ◽  
pp. e94688 ◽  
Author(s):  
María Muñoz-Amatriaín ◽  
Alfonso Cuesta-Marcos ◽  
Jeffrey B. Endelman ◽  
Jordi Comadran ◽  
John M. Bonman ◽  
...  

2021 ◽  
Author(s):  
Qingzhu Li ◽  
Yongyi Ge ◽  
Lily Yan Wang ◽  
Kehu Li

Abstract Genotypic diversity of total phenolics, flavonoid content and antioxidant capacity in the USDA rice mini-core collection was analyzed. Wide genotypic variation was found in total phenolics, flavonoid content and ABTS antioxidant capacity. Genome-wide association mapping between the three antioxidant traits and 155 SSR markers was conducted using Q + K model which takes both population structure (Q) and relative kinship (K) into consideration. A total of 23 marker trait association were identified with markers from Rc gene showed the strongest association with the three antioxidant traits. Rid12, RM484, RM162, RM5371 were commonly detected for phenolic content, flavonoids content and antioxidant capacity.


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