Evidence map›Paper›PMID 16567645›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2006

Neutral and adaptive variation in gene expression.

Andrew Whitehead, Douglas L Crawford

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers.

0numbers the graph read from it
0cells of the map it votes in
172citing papers in PubMed
16.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

172 citing papers in PubMed, 435 citations in OpenAlex.

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  9. Evolution is not driven by and toward increasing information and complexity.Proceedings of the National Academy of Sciences of the United States of America · 2024
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112 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Andrew WhiteheadDepartment of Biological Sciences, Louisiana State University, 202 Life Sciences Building, Baton Rouge, LA 70803, USA. andreww@lsu.edu
Douglas L Crawford
Louisiana State University · USUniversity of Miami · US

Funding

Evolutionary &Functional Analysis of Microarray DataR01HL065470 · NHLBI · UNIVERSITY OF MISSOURI KANSAS CITY · PI CRAWFORD, DOUGLAS L. · 2002 to 2005
$1.3M
NHLBI NIH HHS R01 HL065470NHLBI NIH HHS R01 HL 65470
6 · The paper itself

Abstract

Variation among populations in gene expression should be related to the accumulation of random-neutral changes and evolution by natural selection. The following evolutionary analysis has general applicability to biological and medical science because it accounts for genetic relatedness and identifies patterns of expression variation that are affected by natural selection. To identify genes evolving by natural selection, we allocate the maximum among-population variation to genetic distance and then examine the remaining variation relative to a hypothesized important ecological parameter (temperature). These analyses measure the expression of metabolic genes in common-gardened populations of the fish Fundulus heteroclitus whose habitat is distributed along a steep thermal gradient. Although much of the variation in gene expression fits a null model of neutral drift, the variation in expression for 22% of the genes that regress with habitat temperature was far greater than could be accounted for by genetic distance alone. The most parsimonious explanation for among-population variation for these genes is evolution by natural selection. In addition, many metabolic genes have patterns of variation incongruent with neutral evolution: They have too much or too little variation. These patterns of biological variation in expression may reflect important physiological or ecological functions.

Indexed as

Gene ExpressionGenetics, PopulationGenetic VariationAnimalsBiological EvolutionFishesHumansOligonucleotide Array Sequence AnalysisUnited States

Identifiers

PMID16567645
PMCPMC1414633
OpenAlexW2171931257

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.