TY - JOUR
T1 - The details in the distributions
T2 - Why and how to study phenotypic variability
AU - Geiler-Samerotte, K. A.
AU - Bauer, C. R.
AU - Li, S.
AU - Ziv, N.
AU - Gresham, D.
AU - Siegal, M. L.
N1 - Funding Information:
The authors’ work on phenotypic variability is funded by NIH grants GM086673 and GM097415 (to MLS) and NIH Ruth L. Kirschstein postdoctoral fellowships F32GM103166 and F32GM099373 (to KGS and CRB, respectively).
Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2013/8
Y1 - 2013/8
N2 - 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.
AB - 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.
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U2 - 10.1016/j.copbio.2013.03.010
DO - 10.1016/j.copbio.2013.03.010
M3 - Review article
C2 - 23566377
AN - SCOPUS:84880963941
SN - 0958-1669
VL - 24
SP - 752
EP - 759
JO - Current Opinion in Biotechnology
JF - Current Opinion in Biotechnology
IS - 4
ER -