Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Bacterial fitness landscapes stratify based on proteome allocation associated with discrete aero-types.

PLoS computational biology - 1 Jan 2021

Chen Ke, Anand Amitesh, Olson Connor, Sandberg Troy E, Gao Ye, Mih Nathan, Palsson Bernhard O

Abstract excerpt

The fitness landscape is a concept commonly used to describe evolution towards optimal phenotypes. It can be reduced to mechanistic detail using genome-scale models (GEMs) from systems biology. We use recently developed GEMs of Metabolism and protein Expression (ME-models) to study the distribution of Escherichia coli phenotypes on the rate-yield plane. We found that the measured phenotypes distribute...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Adenosine Triphosphate
Share to Escherichia coli Proteins

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Regulation, Bacterial

Share to Genetic Fitness

Share to Genome, Bacterial

Share to Nitrates

Share to Proteome

Share to Systems Biology

Source

Open in PubMed Open full text

Identifiers

PMID: 33465077
DOI: 10.1371/journal.pcbi.1008596
PMCID: PMC7846111

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Bacterial fitness landscapes stratify based on proteome allocation associated with discrete aero-types.PMID 33465077Read ↗

Systems analysis of microbial adaptations to simultaneous stresses.Semantic proximity Read ↗

Experimental Evolution Reveals Unifying Systems-Level Adaptations but Diversity in Driving Genotypes.Semantic proximity Read ↗

Genome-scale models of metabolism and gene expression extend and refine growth phenotype prediction.Semantic proximity Read ↗

Characterizing the metabolic phenotype: a phenotype phase plane analysis.Semantic proximity Read ↗

Nonlinear fitness landscape of a molecular pathway.Semantic proximity Read ↗

System-level analysis of metabolic trade-offs during anaerobic photoheterotrophic growth in <i>Rhodopseudomonas palustris</i>Semantic proximity Read ↗

Growth against entropy in bacterial metabolism: the phenotypic trade-off behind empirical growth rate distributions in E. coli.Semantic proximity Read ↗

Reconstructing organisms in silico: genome-scale models and their emerging applications.Semantic proximity Read ↗

Qualitatively distinct phenotypes in the design space of biochemical systems.Semantic proximity Read ↗

Omic data from evolved E. coli are consistent with computed optimal growth from genome-scale models.Semantic proximity Read ↗

toyLIFE: a computational framework to study the multi-level organisation of the genotype-phenotype map.Semantic proximity Read ↗

Resource allocation and metabolism: the search for governing principles.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.