Evidence map›Paper›PMID 35797741›Full record

ReviewCurrent opinion in genetics & development2022

Challenges and potential solutions for studying the genetic and phenotypic architecture of adaptation in microbes.

Leandra Brettner, Wei-Chin Ho, Kara Schmidlin, Sam Apodaca, Rachel Eder, Kerry Geiler-Samerotte

Open access · hybridAbstract readReview
In one paragraph

Review in Current opinion in genetics & development, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Barcoding Populations of Pseudomonas fluorescens SBW25.Journal of molecular evolution · 2023
    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

6 authors at 1 institution in 1 country.

Leandra BrettnerCenter for Mechanisms of Evolution, Biodesign Institute, Arizona State University, USA. Electronic address: https://twitter.com/@LeandraBrettner.
Wei-Chin HoCenter for Mechanisms of Evolution, Biodesign Institute, Arizona State University, USA. Electronic address: https://twitter.com/@wchoEvo.
Kara SchmidlinCenter for Mechanisms of Evolution, Biodesign Institute, Arizona State University, USA. Electronic address: https://twitter.com/@KaraSchmidlin.
Sam ApodacaCenter for Mechanisms of Evolution, Biodesign Institute, Arizona State University, USA. Electronic address: https://twitter.com/@SamApodaca_.
Rachel EderCenter for Mechanisms of Evolution, Biodesign Institute, Arizona State University, USA; School of Life Sciences, Arizona State University, USA.
Kerry Geiler-SamerotteCenter for Mechanisms of Evolution, Biodesign Institute, Arizona State University, USA; School of Life Sciences, Arizona State University, USA. Electronic address: kerry.samerotte@asu.edu.
Arizona State University · US

Funding

A quantitative examination of cellular mechanisms that modulate the impacts of genetic variation - Renewal - 1R35GM133674 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI Kerry A Geiler-Samerotte · 2019 to 2026
$2.8M
NIGMS NIH HHS R35 GM133674
6 · The paper itself

Abstract

All organisms are defined by the makeup of their DNA. Over billions of years, the structure and information contained in that DNA, often referred to as genetic architecture, have been honed by a multitude of evolutionary processes. Mutations that cause genetic elements to change in a way that results in beneficial phenotypic change are more likely to survive and propagate through the population in a process known as adaptation. Recent work reveals that the genetic targets of adaptation are varied and can change with genetic background. Further, seemingly similar adaptive mutations, even within the same gene, can have diverse and unpredictable effects on phenotype. These challenges represent major obstacles in predicting adaptation and evolution. In this review, we cover these concepts in detail and identify three emerging synergistic solutions: higher-throughput evolution experiments combined with updated genotype-phenotype mapping strategies and physiological models. Our review largely focuses on recent literature in yeast, and the field seems to be on the cusp of a new era with regard to studying the predictability of evolution.

Indexed as

Adaptation, PhysiologicalBiological EvolutionGenotypeMutationPhenotypeSaccharomyces cerevisiaeAdaptationEpistasisEvolutionGenotype-Phenotype MapPleiotropyYeast

Identifiers

PMID35797741
PMCPMC10321321
OpenAlexW4283794554

What OpenQuestion holds

Textmetadata
LicenceTDM
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.