A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Extending evolutionary forecasts across bacterial species. | LitMetric

Extending evolutionary forecasts across bacterial species.

Proc Biol Sci

Department of Molecular Biology, Umeå University, Umeå, Sweden.

Published: December 2024

AI Article Synopsis

  • To improve evolutionary forecasting, researchers must shift from studying single genotypes to developing broad principles for how similar species adapt under common selective pressures.
  • Evolve-and-resequence experiments across multiple species help test these predictions and understand why some forecasts fail, revealing insights about mutations and adaptations.
  • Findings indicate that while certain mutation patterns are consistent across species, differences in gene-level mutations and fitness can limit precise predictability, suggesting that conserved mutation hotspots facilitate parallel evolution.

Article Abstract

Improving evolutionary forecasting requires progressing from studying repeated evolution of a single genotype under identical conditions to formulating broad principles. These principles should enable predictions of how similar species will adapt to similar selective pressures. Evolve-and-resequence experiments with multiple species allow testing forecasts on different biological levels and elucidating the causes for failed predictions. Here, we show that forecasts for adaptation to static culture conditions can be extended to multiple species by testing previous predictions for and . In addition to sequence divergence, these species differ in their repertoire of biofilm regulatory genes and structural components. Consistent with predictions, both species repeatedly produced biofilm mutants with a wrinkly spreader phenotype. Predominantly, mutations occurred in the operon, with less frequent promoter mutations near uncharacterized diguanylate cyclases. However, mutational patterns differed on the gene level, which was explained by a lack of conservation in relative fitness of mutants between more divergent species. The same mutation was the most frequent for both species suggesting that conserved mutation hotspots can increase parallel evolution. This study shows that evolutionary forecasts can be extended across species, but that differences in the genotype-phenotype-fitness map and mutational biases limit predictability on a detailed molecular level.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11631409PMC
http://dx.doi.org/10.1098/rspb.2024.2312DOI Listing

Publication Analysis

Top Keywords

species
9
evolutionary forecasts
8
predictions species
8
multiple species
8
extending evolutionary
4
forecasts
4
forecasts bacterial
4
bacterial species
4
species improving
4
improving evolutionary
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!