Literature DB >> 23566377

The details in the distributions: why and how to study phenotypic variability.

K A Geiler-Samerotte1, C R Bauer, S Li, N Ziv, D Gresham, M L Siegal.   

Abstract

Phenotypic variability is present even when genetic and environmental differences between cells are reduced to the greatest possible extent. For example, genetically identical bacteria display differing levels of resistance to antibiotics, clonal yeast populations demonstrate morphological and growth-rate heterogeneity, and mouse blastomeres from the same embryo have stochastic differences in gene expression. However, the distributions of phenotypes present among isogenic organisms are often overlooked; instead, many studies focus on population aggregates such as the mean. The details of these distributions are relevant to major questions in diverse fields, including the evolution of antimicrobial-drug and chemotherapy resistance. We review emerging experimental and statistical techniques that allow rigorous analysis of phenotypic variability and thereby may lead to advances across the biological sciences.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23566377      PMCID: PMC3732567          DOI: 10.1016/j.copbio.2013.03.010

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  71 in total

1.  Studies related to antibody fragment (Fab) production in Escherichia coli W3110 fed-batch fermentation processes using multiparameter flow cytometry.

Authors:  Andrew Want; Owen R T Thomas; Bo Kara; John Liddell; Christopher J Hewitt
Journal:  Cytometry A       Date:  2009-02       Impact factor: 4.355

Review 2.  Generalized linear mixed models: a practical guide for ecology and evolution.

Authors:  Benjamin M Bolker; Mollie E Brooks; Connie J Clark; Shane W Geange; John R Poulsen; M Henry H Stevens; Jada-Simone S White
Journal:  Trends Ecol Evol       Date:  2009-03       Impact factor: 17.712

3.  The robustness continuum.

Authors:  Sasha F Levy; Mark L Siegal
Journal:  Adv Exp Med Biol       Date:  2012       Impact factor: 2.622

4.  Uniform ripening encodes a Golden 2-like transcription factor regulating tomato fruit chloroplast development.

Authors:  Ann L T Powell; Cuong V Nguyen; Theresa Hill; Kalai Lam Cheng; Rosa Figueroa-Balderas; Hakan Aktas; Hamid Ashrafi; Clara Pons; Rafael Fernández-Muñoz; Ariel Vicente; Javier Lopez-Baltazar; Cornelius S Barry; Yongsheng Liu; Roger Chetelat; Antonio Granell; Allen Van Deynze; James J Giovannoni; Alan B Bennett
Journal:  Science       Date:  2012-06-29       Impact factor: 47.728

Review 5.  Decanalization and the origin of complex disease.

Authors:  Greg Gibson
Journal:  Nat Rev Genet       Date:  2009-01-02       Impact factor: 53.242

6.  Deficiency screening for genomic regions with effects on environmental sensitivity of the sensory bristles of Drosophila melanogaster.

Authors:  Kazuo H Takahashi; Yasukazu Okada; Kouhei Teramura
Journal:  Evolution       Date:  2012-05-03       Impact factor: 3.694

7.  Inheritance beyond plain heritability: variance-controlling genes in Arabidopsis thaliana.

Authors:  Xia Shen; Mats Pettersson; Lars Rönnegård; Örjan Carlborg
Journal:  PLoS Genet       Date:  2012-08-02       Impact factor: 5.917

8.  Genetic and environmental heterogeneity of residual variance of weight traits in Nellore beef cattle.

Authors:  Haroldo H R Neves; Roberto Carvalheiro; Sandra A Queiroz
Journal:  Genet Sel Evol       Date:  2012-07-04       Impact factor: 4.297

9.  Comprehensive characterization of genes required for protein folding in the endoplasmic reticulum.

Authors:  Martin C Jonikas; Sean R Collins; Vladimir Denic; Eugene Oh; Erin M Quan; Volker Schmid; Jimena Weibezahn; Blanche Schwappach; Peter Walter; Jonathan S Weissman; Maya Schuldiner
Journal:  Science       Date:  2009-03-27       Impact factor: 47.728

10.  Network hubs buffer environmental variation in Saccharomyces cerevisiae.

Authors:  Sasha F Levy; Mark L Siegal
Journal:  PLoS Biol       Date:  2008-11-04       Impact factor: 8.029

View more
  42 in total

1.  Genetic Control of Environmental Variation of Two Quantitative Traits of Drosophila melanogaster Revealed by Whole-Genome Sequencing.

Authors:  Peter Sørensen; Gustavo de los Campos; Fabio Morgante; Trudy F C Mackay; Daniel Sorensen
Journal:  Genetics       Date:  2015-08-12       Impact factor: 4.562

Review 2.  The developmental genetics of biological robustness.

Authors:  Lamia Mestek Boukhibar; Michalis Barkoulas
Journal:  Ann Bot       Date:  2015-08-20       Impact factor: 4.357

3.  Behavioral idiosyncrasy reveals genetic control of phenotypic variability.

Authors:  Julien F Ayroles; Sean M Buchanan; Chelsea O'Leary; Kyobi Skutt-Kakaria; Jennifer K Grenier; Andrew G Clark; Daniel L Hartl; Benjamin L de Bivort
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-07       Impact factor: 11.205

4.  Neuromodulatory Regulation of Behavioral Individuality in Zebrafish.

Authors:  Carlos Pantoja; Adam Hoagland; Elizabeth C Carroll; Vasiliki Karalis; Alden Conner; Ehud Y Isacoff
Journal:  Neuron       Date:  2016-07-07       Impact factor: 17.173

5.  Additive, epistatic, and environmental effects through the lens of expression variability QTL in a twin cohort.

Authors:  Gang Wang; Ence Yang; Candice L Brinkmeyer-Langford; James J Cai
Journal:  Genetics       Date:  2013-12-02       Impact factor: 4.562

6.  Heritable environmental variance causes nonlinear relationships between traits: application to birth weight and stillbirth of pigs.

Authors:  Herman A Mulder; William G Hill; Egbert F Knol
Journal:  Genetics       Date:  2015-01-27       Impact factor: 4.562

Review 7.  Pervasive robustness in biological systems.

Authors:  Marie-Anne Félix; Michalis Barkoulas
Journal:  Nat Rev Genet       Date:  2015-08       Impact factor: 53.242

8.  Epistasis and destabilizing mutations shape gene expression variability in humans via distinct modes of action.

Authors:  Ence Yang; Gang Wang; Jizhou Yang; Beiyan Zhou; Yanan Tian; James J Cai
Journal:  Hum Mol Genet       Date:  2016-11-15       Impact factor: 6.150

9.  Split and Merge Watershed: a two-step method for cell segmentation in fluorescence microscopy images.

Authors:  Margarita Gamarra; Eduardo Zurek; Hugo Jair Escalante; Leidy Hurtado; Homero San-Juan-Vergara
Journal:  Biomed Signal Process Control       Date:  2019-06-04       Impact factor: 3.880

10.  Magnesium Flux Modulates Ribosomes to Increase Bacterial Survival.

Authors:  Dong-Yeon D Lee; Leticia Galera-Laporta; Maja Bialecka-Fornal; Eun Chae Moon; Zhouxin Shen; Steven P Briggs; Jordi Garcia-Ojalvo; Gürol M Süel
Journal:  Cell       Date:  2019-03-07       Impact factor: 41.582

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.