Results 21 to 30 of about 308,676 (247)

Genome-wide association study to identify genomic loci associated with early vigor in bread wheat under simulated water deficit complemented with quantitative trait loci meta-analysis

G3: Genes, Genomes, Genetics, 2022
A genome-wide association study (GWAS) was used to identify associated loci with early vigor under simulated water deficit and grain yield under field drought in a diverse collection of Iranian bread wheat landraces.
Yousef Rahimi, Bahman Khahani, Ali Jamali, Hadi Alipour, Mohammad Reza Bihamta, Pär K Ingvarsson   +5 more
doaj   +1 more source

Near-periodic substitution and the genetic variance induced by environmental change [PDF]

, 2006
We investigate a model that describes the evolution of a diploid sexual population in a changing environment. Individuals have discrete generations and are subject to selection on the phenotypic value of a quantitative trait, which is controlled by a ...
Barton, Barton, Barton, Broom, Bulmer, Bulmer, Bürger, Bürger, Charlesworth, Crow, D. Waxman, Gardner, Gavrilets, Kimura, Lande, Lynch, Maynard Smith, Maynard Smith, Russell, Shpak, Turelli, Turelli, Van Valen, Waxman, Waxman, Waxman, Waxman, Welch, Wright, Y. Bello   +29 more
core   +3 more sources

Identifying Quantitative Trait Loci and Candidate Genes Conferring Resistance to Soybean Mosaic Virus SC7 by Quantitative Trait Loci-Sequencing in Soybean

Frontiers in Plant Science, 2022
Soybean mosaic virus (SMV) is detrimental to soybean (Glycine max) breeding, seed quality, and yield worldwide. Improving the basic resistance of host plants is the most effective and economical method to reduce damage from SMV.
Yong Zhang, Jiling Song, Lei Wang, Mengping Yang, Kaifeng Hu, Weiwei Li, Xuhong Sun, Hong Xue, Quanzhong Dong, Mingming Zhang, Shubao Lou, Xingyong Yang, Hao Du, Yongli Li, Lidong Dong, Zhijun Che, Qun Cheng   +16 more
doaj   +1 more source

Genetic interactions contribute less than additive effects to quantitative trait variation in yeast. [PDF]

, 2015
Genetic mapping studies of quantitative traits typically focus on detecting loci that contribute additively to trait variation. Genetic interactions are often proposed as a contributing factor to trait variation, but the relative contribution of ...
Albert, Frank W, Bloom, Joshua S, Kotenko, Iulia, Kruglyak, Leonid, Sadhu, Meru J, Treusch, Sebastian   +5 more
core   +1 more source

Accounting for genetic interactions improves modeling of individual quantitative trait phenotypes in yeast. [PDF]

, 2016
Experiments in model organisms report abundant genetic interactions underlying biologically important traits, whereas quantitative genetics theory predicts, and data support, the notion that most genetic variance in populations is additive.
Bloom, Joshua S, Carlborg, Örjan, Forsberg, Simon KG, Kruglyak, Leonid, Sadhu, Meru J   +4 more
core   +3 more sources

EXPLoRA-web: linkage analysis of quantitative trait loci using bulk segregant analysis [PDF]

, 2016
Identification of genomic regions associated with a phenotype of interest is a fundamental step toward solving questions in biology and improving industrial research.
Duitama, Jorge, Marchal, Kathleen, Pulido Tamayo, Sergio   +2 more
core   +3 more sources

R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations

Genetics, 2018
R/qtl2 is an interactive software environment for mapping quantitative trait loci (QTL) in experimental populations. The R/qtl2 software expands the scope of the widely-used R/qtl software package to include multiparental populations, better handles ...
K. Broman, D. Gatti, P. Simecek, N. Furlotte, P. Prins, Ś. Sen, B. Yandell, G. Churchill   +7 more
semanticscholar   +1 more source

Expression quantitative trait loci are highly sensitive to cellular differentiation state [PDF]

, 2009
Blood cell development from multipotent hematopoietic stem cells to specialized blood cells is accompanied by drastic changes in gene expression for which the triggers remain mostly unknown.
A Gerrits, Albertina Ausema, Alice Gerrits, AR Whiteley, B Wang, Bert Dontje, Bruno M. Tesson, D Bryder, E Petretto, EC Forsberg, EE Schadt, EE Schadt, EJ Chesler, EJ Chesler, Ellen Weersing, G Dennis Jr, Gerald de Haan, Greg Gibson, HH Goring, J Wang, JD Storey, JJ Keurentjes, JL Peirce, JY Wu, KH Wang, L Bystrykh, Leonid V. Bystrykh, M Morley, MA West, MJ Anderson, MJ Kiel, MV Rockman, N Hubner, NB Ivanova, R Alberts, R Breitling, Rainer Breitling, RC Jansen, Ritsert C. Jansen, SA Monks, SM Chambers, V Emilsson, Xusheng Wang, Y Chen, Y Katoh, Y Li, Y Li, Y Liang, Yang Li   +48 more
core   +11 more sources

Quantitative Trait Locus and Genetical Genomics Analysis Identifies Putatively Causal Genes for Fecundity and Brooding in the Chicken

G3: Genes, Genomes, Genetics, 2016
Life history traits such as fecundity are important to evolution because they make up components of lifetime fitness. Due to their polygenic architectures, such traits are difficult to investigate with genetic mapping.
Martin Johnsson, Kenneth B. Jonsson, Leif Andersson, Per Jensen, Dominic Wright   +4 more
doaj   +1 more source

The Genetic Basis of Mutation Rate Variation in Yeast. [PDF]

, 2018
Mutations are the root source of genetic variation and underlie the process of evolution. Although the rates at which mutations occur vary considerably between species, little is known about differences within species, or the genetic and molecular basis ...
Bloom, Joshua S, Gou, Liangke, Kruglyak, Leonid   +2 more
core   +1 more source