Evidence map›Paper›PMID 31572829›Full record

ArticleCurrent opinion in systems biology2019

Recombination drives the evolution of mutational robustness.

Sonia Singhal, Shawn M Gomez, Christina L Burch

Abstract read
In one paragraph

Article in Current opinion in systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
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

3 authors.

Sonia SinghalBiology Department, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Shawn M GomezCurriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514.
Christina L BurchBiology Department, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

SEEDING POSTDOCTORAL INNOVATORS IN RESEARCH &EDUCATIONK12GM000678 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DONALD T LYSLE, Kathryn Joanna Reissner · 1999 to 2026
$30.9M
Illuminating Function of the Understudied Druggable KinomeU24DK116204 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JOHNSON, GARY L. · 2017 to 2022
$13.6M
DEVELOPMENT OF HUMAN INTESTINAL SIMULACRAR01DK109559 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ALLBRITTON, NANCY L., BULTMAN, SCOTT J · 2015 to 2019
$5.2M
Single-Cell Measurement of Lipid Signaling in Colorectal CancerR01CA177993 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ALLBRITTON, NANCY L. · 2014 to 2018
$3.0M
NCI NIH HHS R01 CA177993NIDDK NIH HHS R01 DK109559NIDDK NIH HHS U24 DK116204NIGMS NIH HHS K12 GM000678
6 · The paper itself

Abstract

Recombination can impose fitness costs as beneficial parental combinations of alleles are broken apart, a phenomenon known as recombination load. Computational models suggest that populations may evolve a reduced recombination load by reducing either the likelihood of recombination events (bring interacting loci in physical proximity) or the strength of interactions between loci (make loci more independent of one another). We review evidence for each of these possibilities and their consequences for the genotype-fitness relationship. In particular, we expect that reducing interaction strengths between loci will lead to genomes that are also robust to mutational perturbations, but reducing recombination rates alone will not. We note that both mechanisms most likely played a role in the evolution of extant populations, and that both can result in the frequently-observed pattern of physical linkage between interacting loci.

Identifiers

PMID31572829
PMCPMC6768415

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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.