The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Variation within and among species in gene expression: raw material for evolution
Abstract
Heritable variation in regulatory or coding regions is the raw material for evolutionary processes. The advent of microarrays has recently promoted examination of the extent of variation in gene expression within and among taxa and examination of the evolutionary processes affecting variation. This review examines these issues. We find: (i) microarray‐based measures of gene expression are precise given appropriate experimental design; (ii) there is large inter‐individual variation, which is composed of a minor nongenetic component and a large heritable component; (iii) variation among populations and species appears to be affected primarily by neutral drift and stabilizing selection, and to a lesser degree by directional selection; and (iv) neutral evolutionary divergence in gene expression becomes nonlinear with greater divergence times due to functional constraint. Evolutionary analyses of gene expression reviewed here provide unique insights into partitioning of regulatory variation in nature. However, common limitations of these studies include the tendency to assume a linear relationship between expression divergence and species divergence, and failure to test explicit hypotheses that involve the ecological context of evolutionary divergence.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
Phylogenies and the Comparative Method
Felsenstein, J. (1985) · The American Naturalist · doi:10.1086/284325 · Cited by 9,793
King, M.-C., & Wilson, A. C. (1975) · Science · doi:10.1126/science.1090005 · Cited by 2,815
Widespread parallel evolution in sticklebacks by repeated fixation of Ectodysplasin alleles.
Colosimo, P. F., Hosemann, K. E., Balabhadra, S., Villarreal, G., Dickson, M., Grimwood, J., Schmutz, J., Myers, R. M., Schluter, D., & Kingsley, D. M. (2005) · Science · doi:10.1126/science.1107239 · Cited by 1,448
An integrative genomics approach to infer causal associations between gene expression and disease
Schadt, E. E., Lamb, J., Yang, X., Zhu, J., Edwards, S., GuhaThakurta, D., Sieberts, S. K., Monks, S., Reitman, M., Zhang, C., et al. (2005) · Nature Genetics · doi:10.1038/ng1589 · Cited by 1,043
Multiple-laboratory comparison of microarray platforms
Irizarry, R. A., Warren, D., Spencer, F., Kim, I. F., Biswal, S., Frank, B. C., Gabrielson, E., Garcia, J. G. N., Geoghegan, J., Germino, G., et al. (2005) · Nature Methods · doi:10.1038/nmeth756 · Cited by 862
Variation in gene expression within and among natural populations
Oleksiak, M. F., Churchill, G. A., & Crawford, D. L. (2002) · Nature Genetics · doi:10.1038/ng983 · Cited by 736
The landscape of genetic complexity across 5,700 gene expression traits in yeast
Brem, R. B., & Kruglyak, L. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0408709102 · Cited by 603
Modular epistasis in yeast metabolism
Segrè, D., DeLuna, A., Church, G. M., & Kishony, R. (2005) · Nature Genetics · doi:10.1038/ng1489 · Cited by 575
Elevated gene expression levels distinguish human from non-human primate brains
Cáceres, M., Lachuer, J., Zapala, M. A., Redmond, J. C., Kudo, L., Geschwind, D. H., Lockhart, D. J., Preuss, T. M., & Barlow, C. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2135499100 · Cited by 491
Cited by
QST–FST comparisons: evolutionary and ecological insights from genomic heterogeneity
Leinonen, T., McCairns, R. J. S., O'Hara, R. B., & Merilä, J. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3395 · Cited by 422
Regulatory divergence in Drosophila revealed by mRNA-seq
McManus, C. J., Coolon, J. D., Duff, M. O., Eipper-Mains, J., Graveley, B. R., & Wittkopp, P. J. (2010) · Genome Research · doi:10.1101/gr.102491.109 · Cited by 381
Evolution of primate gene expression
Khaitovich, P., Enard, W., Lachmann, M., & Pääbo, S. (2006) · Nature Reviews Genetics · doi:10.1038/nrg1940 · Cited by 341
Conservation of core gene expression in vertebrate tissues
Chan, E. T., Quon, G. T., Chua, G., Babak, T., Trochesset, M., Zirngibl, R. A., Aubin, J., Ratcliffe, M. J., Wilde, A., Brudno, M., et al. (2009) · Journal of Biology · doi:10.1186/jbiol130 · Cited by 190
BERGMANN, N., WINTERS, G., RAUCH, G., EIZAGUIRRE, C., GU, J., NELLE, P., FRICKE, B., & REUSCH, T. B. H. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2010.04731.x · Cited by 106
FONTANILLAS, P., LANDRY, C. R., WITTKOPP, P. J., RUSS, C., GRUBER, J. D., NUSBAUM, C., & HARTL, D. L. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2010.04472.x · Cited by 76
Sexually Dimorphic Effects of Ancestral Exposure to Vinclozolin on Stress Reactivity in Rats
Gillette, R., Miller-Crews, I., Nilsson, E. E., Skinner, M. K., Gore, A. C., & Crews, D. (2014) · Endocrinology · doi:10.1210/en.2014-1253 · Cited by 62
Cassone, B. J., Kamdem, C., Cheng, C., Tan, J. C., Hahn, M. W., Costantini, C., & Besansky, N. J. (2014) · Molecular Ecology · doi:10.1111/mec.12733 · Cited by 46
Metadata
- Authors
- WHITEHEAD, A., & CRAWFORD, D. L.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2006-03-16
- Volume
- 15
- Issue
- 5
- Pages
- 1197-1211
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2130317490
- Cited by
- 345
- References
- 12
- FWCI
- 15.90
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.