Results 71 to 80 of about 391,632 (299)
An Introduction to Quantitative Genetics
, 1999 This chapter provides a brief overview of quantitative-genetic theory. Quantitative-genetics provides important tools to help elucidate the genetic underpinnings of behavioral and neural phenotypes. This information can then provide substantial insights into the previous evolutionary history of a phenotype, as well as into brain-behavior relationships.
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THE QUANTITATIVE GENETICS OF FLUCTUATING ASYMMETRY [PDF]
Evolution, 2001 Uploaded by Plazi for TaxoDros. We do not have abstracts.
M, Polak, W T, Starmer
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FEBS Letters, EarlyView.Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai +4 more
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Accurate recombination estimation from pooled genotyping and sequencing: a case study on barley
BMC Genomics, 2022 Sexual reproduction involves meiotic recombination and the creation of crossing over between homologous chromosomes, which leads to new allele combinations. We present a new approach that uses the allele frequency differences and the physical distance of
Michael Schneider +2 more
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Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
FEBS Letters, EarlyView.Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
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BMC Genomics, 2019 Background After the extensive implementation of genomic selection (GS), the choice of the statistical model and data used to estimate variance components (VCs) remains unclear.
Hongding Gao +5 more
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Understanding the potential bias of variance components estimators when using genomic models
Genetics Selection Evolution, 2018 Background Genomic models that link phenotypes to dense genotype information are increasingly being used for infering variance parameters in genetics studies.
Beatriz C. D. Cuyabano +2 more
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Genetics Selection Evolution, 2023 Background Genomic selection has increased genetic gain in dairy cattle, but in some cases it has resulted in higher inbreeding rates. Therefore, there is need for research on efficient management of inbreeding in genomically-selected dairy cattle ...
Egill Gautason +3 more
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How much can the orientation of G's eigenvectors tell us about genetic constraints? [PDF]
, 2012 A key goal in evolutionary quantitative genetics is to understand how evolutionary trajectories are constrained by pleiotropic coupling among multiple traits.
Daniel Berner, Berner, Daniel
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FEBS Letters, EarlyView.The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson +6 more
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