singleplant gwas coupled with bulk segregant analysis

Sherry Flint-Garcia -- USDA ARS in Columbia, MO

Sherry Flint-Garcia -- USDA ARS in Columbia, MO

Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs. BMC Plant Biol 19: 412. Guo, T, X Yu, X Li, H Zhang, C Zhu, S Flint-Garcia, MD McMullen, JB Holland, SJ Szalma, RJ Wisser, and J Yu.

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Sherry Flint-Garcia : USDA ARS

Sherry Flint-Garcia : USDA ARS

Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height ... Shrestha, V., Guill, K.E., Flint Garcia, S.A., Beissinger, T.M. 2019. Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs. Biomed Central (BMC ...

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PDF Background: Genome wide association studies (GWAS) are a powerful tool for identifying quantitative trait loci (QTL) and causal single nucleotide... Find, read and cite all the research ...

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Bulk Segregant Analysis Using Single Nucleotide ...

Bulk Segregant Analysis Using Single Nucleotide ...

Jan 27, 2011  Bulk segregant analysis (BSA) using microarrays, and extreme array mapping (XAM) have recently been used to rapidly identify genomic regions associated with phenotypes in multiple species. These experiments, however, require the identification of single feature polymorphisms (SFP) between the cross parents for each new combination of genotypes, which raises the cost of experiments.

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[PDF] Genome Wide Association Studies Using a New ...

[PDF] Genome Wide Association Studies Using a New ...

Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs Abiskar Gyawali , Vivek Shrestha , K. Guill , S. Flint-Garcia , T. Beissinger

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Single-plant GWAS coupled with bulk segregant analysis ...

Single-plant GWAS coupled with bulk segregant analysis ...

Oct 08, 2019  Genome wide association mapping of plant height. a Manhattan plot of the single plant genome-wide association analysis (sp-GWAS) using FarmCPU. GWAS identified total of 25 significant SNPs for plant height that surpassed the significance threshold (P ≤ 0.00001).b Manhattan plot of the bulk segregant analysis (BSA) sequencing method for mapping plant height.

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Cheap as chips: identifying plant genes to en EurekAlert!

Cheap as chips: identifying plant genes to en EurekAlert!

Original publication: Abiskar Gyawali et al, 'Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs' BMC Plant Biology ...

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Bulked Segregant Analysis For Fine Mapping Of Genes

Bulked Segregant Analysis For Fine Mapping Of Genes

Bulked Segregant Analysis For Fine Mapping Of Genes. ... Extreme-phenotype GWAS using pooled samples. 1. complex genetic architecture of the trait. 2. complex genetic background and population structure. Applicable genotyping platform ... • RNA-seq –based bulk segregant analysis .

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Iterative Usage of Fixed and Random Effect Models for ...

Iterative Usage of Fixed and Random Effect Models for ...

Single-plant GWAS coupled with bulk segregant analysis allows rapid... Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs. OsLG3 contributing to rice grain length and yield was mined by Ho-LAMap. OsLG3 contributing to rice grain length and yield was mined by Ho-LAMap.

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About this site

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Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs A Gyawali, V Shrestha, KE Guill, S Flint-Garcia, TM Beissinger BMC plant biology 19 (1), 1-15 , 2019

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Integrating Coexpression Networks with GWAS to Prioritize ...

Integrating Coexpression Networks with GWAS to Prioritize ...

Nov 09, 2018  Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs. Gyawali A, Shrestha V, Guill KE, Flint-Garcia S, Beissinger TM. BMC Plant Biol, 19(1):412, 08 Oct 2019 Cited by: 1 article PMID: 31590656 PMCID: PMC6781408. Free to read use

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About this site

About this site

Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height ... Shrestha, V., Guill, K.E., Flint Garcia, S.A., Beissinger, T.M. 2019. Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs. Biomed Central (BMC ...

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[PDF] Bulk Segregant Analysis Using Single Nucleotide ...

[PDF] Bulk Segregant Analysis Using Single Nucleotide ...

Bulk segregant analysis (BSA) using microarrays, and extreme array mapping (XAM) have recently been used to rapidly identify genomic regions associated with phenotypes in multiple species. These experiments, however, require the identification of single feature polymorphisms (SFP) between the cross parents for each new combination of genotypes, which raises the cost of experiments.

Get Price
Cheap as chips: identifying plant genes to ensure food ...

Cheap as chips: identifying plant genes to ensure food ...

Oct 09, 2019  An international team of scientists led by the University of Goettingen has developed a new approach that enables researchers to more efficiently identify the genes that control plant traits.

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Genome-Wide Association Study Identifies Candidate Genes ...

Genome-Wide Association Study Identifies Candidate Genes ...

Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs Genome-Wide Association Study Identifies Candidate Genes That Affect Plant Height in Chinese Elite Maize (Zea mays L.) Inbred Lines

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Sherry Flint-Garcia Genetics Area Program

Sherry Flint-Garcia Genetics Area Program

Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs. BMC Plant Biol 19: 412. Guo, T, X Yu, X Li, H Zhang, C Zhu, S Flint-Garcia, MD McMullen, JB Holland, SJ Szalma, RJ

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Improving genomic tools for outcrossing crops

Improving genomic tools for outcrossing crops

Based on a clustering analysis that exploits geno-type similarity between individuals computed within each window, the algorithm can trace the parental identity of ... Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs. BMC Plant Biol. 19:412, 1-15. https://doi ...

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Information for the Media - Georg-August-Universität Göttingen

Information for the Media - Georg-August-Universität Göttingen

Aug 10, 2019  Original publication: Abiskar Gyawali et al, ‘Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs’ BMC Plant Biology, DOI: 10.1186/s12870-019-2000-y. Professor Timothy Beissinger. Professor of Plant Breeding Methodology. University of Göttingen

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Ensuring Food Security: Spotting Genes That Control Plant ...

Ensuring Food Security: Spotting Genes That Control Plant ...

Oct 09, 2019  The new method is an extension of a tool known as GWA (Genome Wide Association). GWA studies use genetic sequencing technologies coupled with advanced statistics and computation to link differences in the genetic code with particular traits. When using GWA to study plants, researchers typically manage large sets of genetically identical plants.

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Ph.D. student Abiskar Gyawali develops new method to spot ...

Ph.D. student Abiskar Gyawali develops new method to spot ...

Oct 08, 2019  The study, titled “Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs,” was published in BMC Plant Biology, DOI: 10.1186/s12870-019-2000-y

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Cheap as chips: identifying plant genes to ensure food ...

Cheap as chips: identifying plant genes to ensure food ...

Oct 08, 2019  Original publication: Abiskar Gyawali et al, ‘Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs’ BMC Plant Biology, DOI: 10.1186/s12870-019-2000-y. Professor

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About this site

About this site

A total of 306 k polymorphic markers in 768 individuals evaluated via association analysis detected 25 significant SNPs (P ≤ 0.00001) for PH. The results from our single-plant GWAS were further validated by bulk segregant analysis (BSA) for PH. BSA sequencing was performed on the same population by selecting tall and short plants as separate ...

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Dossier 5 18 2015 - Plant Breeding

Dossier 5 18 2015 - Plant Breeding

GWAS combined with gene co-expression network analysis” V. Shrestha and R. Angelovici. 62 nd Annual Maize Genetics Conference, Scheduled for Mar 12-15, 2020, Kailua Kona, Hawaii.

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Katherine Guill : USDA ARS

Katherine Guill : USDA ARS

Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height ... Shrestha, V., Guill, K.E., Flint Garcia, S.A., Beissinger, T.M. 2019. Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs. Biomed Central (BMC ...

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(PDF) Bulk Segregant Analysis Using Single Nucleotide ...

(PDF) Bulk Segregant Analysis Using Single Nucleotide ...

Jan 27, 2011  The results from our single-plant GWAS were further validated by bulk segregant analysis (BSA) for PH. BSA sequencing was performed on

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Trait mapping in diverse arthropods by bulked segregant ...

Trait mapping in diverse arthropods by bulked segregant ...

Aug 16, 2019  Genetic mapping by bulk segregant analysis in Drosophila: experimental design and simulation-based inference Genetics , 204 ( 2016 ) , pp. 1295 -

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Single-plant GWAS coupled with bulk segregant analysis ...

Single-plant GWAS coupled with bulk segregant analysis ...

Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs Abiskar Gyawali1, Vivek Shrestha1, Katherine E. Guill2, Sherry Flint-Garcia2,3 and Timothy M. Beissinger4,5* Abstract

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