Evidence map›Paper›PMID 42582802›Full record

ArticleNAR genomics and bioinformatics2026

Predictive models of the genetic bases underlying budding yeast fitness in multiple environments.

Kenia E Segura Abá, Paulo Izquierdo, Gustavo de Los Campos, Melissa D Lehti-Shiu, Shin-Han Shiu

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Kenia E Segura AbáGenetics and Genome Sciences Graduate Program, Michigan State University, East Lansing, MI 48824,United States.ORCID https://orcid.org/0000-0003-0329-289X
Paulo IzquierdoDepartment of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM 88003,United States.ORCID https://orcid.org/0000-0002-2153-0655
Gustavo de Los CamposGenetics and Genome Sciences Graduate Program, Michigan State University, East Lansing, MI 48824,United States.ORCID https://orcid.org/0000-0001-5692-7129
Melissa D Lehti-ShiuDepartment of Plant Biology, Michigan State University, East Lansing, MI 48824,United States.
Shin-Han ShiuGenetics and Genome Sciences Graduate Program, Michigan State University, East Lansing, MI 48824,United States.ORCID https://orcid.org/0000-0001-6470-235X

Funding

Plant Biotechnology for Health and SustainabilityT32GM110523 · NIGMS · MICHIGAN STATE UNIVERSITY · PI LAST, ROBERT LOUIS · 2014 to 2023
$2.2M
NIGMS NIH HHS T32 GM110523
6 · The paper itself

Abstract

The ability of organisms to adapt and survive depends on the effects of genes and the environment on fitness. However, the multigenic nature of fitness and genotype-by-environment interactions hinder our understanding of the genetic basis of fitness. Here, we established fitness prediction models for 35 environments using machine learning and existing fitness data and different genetic variant types for a

Indexed as

Gene-Environment InteractionGenetic FitnessModels, GeneticSaccharomyces cerevisiaeBenomylDNA Copy Number VariationsEnvironmentGenetic VariationMachine LearningBenomyl

Identifiers

PMID42582802
PMCPMC13458404

What Socratic holds

Textmetadata
LicenceCC BY
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.