Evidence map›Paper›PMID 21177937›Full record

ReviewThe Journal of experimental biology2011

Molecular population genetics and selection in the glycolytic pathway.

Walter F Eanes

Abstract readReview
In one paragraph

Review in The Journal of experimental biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

29 citing papers in PubMed, 47 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Walter F EanesDepartment of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11790, USA. walter@life.bio.sunysb.edu
Stony Brook University · US

Funding

METABOLIC CONTROL AND MOLECULAR ADAPTATION IN DROSOPHILAR01GM045247 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI EANES, WALTER F. · 1991 to 2005
$1.3M
NIGMS NIH HHS GM-45247NIGMS NIH HHS R01 GM045247
6 · The paper itself

Abstract

In this review, I discuss the evidence for differential natural selection acting across enzymes in the glycolytic pathway in Drosophila. Across the genome, genes evolve at very different rates and possess markedly varying levels of molecular polymorphism, codon bias and expression variation. Discovering the underlying causes of this variation has been a challenge in evolutionary biology. It has been proposed that both the intrinsic properties of enzymes and their pathway position have direct effects on their molecular evolution, and with the genomic era the study of adaptation has been taken to the level of pathways and networks of genes and their products. Of special interest have been the energy-producing pathways. Using both population genetic and experimental approaches, our laboratory has been engaged in a study of molecular variation across the glycolytic pathway in Drosophila melanogaster and its close relatives. We have observed a pervasive pattern in which genes at the top of the pathway, especially around the intersection at glucose 6-phosphate, show evidence for both contemporary selection, in the form of latitudinal allele clines, and inter-specific selection, in the form of elevated levels of amino acid substitutions between species. To further explore this question, future work will require corroboration in other species, expansion into tangential pathways, and experimental work to better characterize metabolic control through the pathway and to examine the pleiotropic effects of these genes on other traits and fitness components.

Indexed as

GlycolysisMetabolic Networks and PathwaysAnimalsDrosophilaEvolution, MolecularGenetics, PopulationSelection, Genetic

Identifiers

PMID21177937
PMCPMC3183487
OpenAlexW1996180430

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.