Evidence map›Paper›PMID 26041111›Full record

ReviewAmerican journal of physiology. Regulatory, integrative and comparative physiology2015

Genetic approaches in comparative and evolutionary physiology.

Jay F Storz, Jamie T Bridgham, Scott A Kelly, Theodore Garland

Abstract readReview
In one paragraph

Review in American journal of physiology. Regulatory, integrative and comparative physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
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

25 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Physiological Genomics of Adaptation to High-Altitude Hypoxia.Annual review of animal biosciences · 2021
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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

4 authors.

Jay F StorzSchool of Biological Sciences, University of Nebraska, Lincoln, Nebraska; jstorz2@unl.edu.
Jamie T BridghamInstitute of Ecology and Evolution, University of Oregon, Eugene, Oregon;
Scott A KellyDepartment of Zoology, Ohio Wesleyan University, Delaware, Ohio; and.
Theodore GarlandDepartment of Biology, University of California, Riverside, Riverside, California.

Funding

Mutational Pleiotropy, Epistasis, and the Adaptive Evolution of Hemoglobin FunctionR01HL087216 · NHLBI · UNIVERSITY OF NEBRASKA LINCOLN · PI STORZ, JAY · 2008 to 2021
$4.5M
Mechanisms for the evolution of novel DNA specificity in a transcription factor fR01GM104397 · NIGMS · UNIVERSITY OF CHICAGO · PI THORNTON, JOSEPH W · 2013 to 2016
$1.3M
NHLBI NIH HHS HL-087216NHLBI NIH HHS R01 HL087216NIGMS NIH HHS GM-104397NIGMS NIH HHS R01 GM104397
6 · The paper itself

Abstract

Whole animal physiological performance is highly polygenic and highly plastic, and the same is generally true for the many subordinate traits that underlie performance capacities. Quantitative genetics, therefore, provides an appropriate framework for the analysis of physiological phenotypes and can be used to infer the microevolutionary processes that have shaped patterns of trait variation within and among species. In cases where specific genes are known to contribute to variation in physiological traits, analyses of intraspecific polymorphism and interspecific divergence can reveal molecular mechanisms of functional evolution and can provide insights into the possible adaptive significance of observed sequence changes. In this review, we explain how the tools and theory of quantitative genetics, population genetics, and molecular evolution can inform our understanding of mechanism and process in physiological evolution. For example, lab-based studies of polygenic inheritance can be integrated with field-based studies of trait variation and survivorship to measure selection in the wild, thereby providing direct insights into the adaptive significance of physiological variation. Analyses of quantitative genetic variation in selection experiments can be used to probe interrelationships among traits and the genetic basis of physiological trade-offs and constraints. We review approaches for characterizing the genetic architecture of physiological traits, including linkage mapping and association mapping, and systems approaches for dissecting intermediary steps in the chain of causation between genotype and phenotype. We also discuss the promise and limitations of population genomic approaches for inferring adaptation at specific loci. We end by highlighting the role of organismal physiology in the functional synthesis of evolutionary biology.

Indexed as

Biological EvolutionGenetics, PopulationGenotypeQuantitative Trait LociAnimalsGenetic VariationHumansPhenotypecomplex traitsphysiological genomicsQTL mappingselection experimentssystems genetics

Identifiers

PMID26041111
PMCPMC4525326

What Socratic 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 Socratic graph.