Evidence map›Paper›PMID 41058312›Full record

ArticleThe Journal of experimental biology2025

Experimental evolution-induced transcriptome and phenotype responses of Drosophila melanogaster to novel thermal environments.

Dau Dayal Aggarwal, Prachi Mishra, Yashvant Patel, Manvender Singh, Vijendra Sharma, Abraham B Korol, Pawel Michalak

Abstract read
In one paragraph

Article in The Journal of experimental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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

7 authors.

Dau Dayal AggarwalDepartment of Biochemistry, University of Delhi South Campus, New Delhi, Delhi 110021, India.ORCID 0000-0002-4095-9086
Prachi MishraDepartment of Biochemistry, University of Delhi South Campus, New Delhi, Delhi 110021, India.
Yashvant PatelDepartment of Zoology, Banaras Hindu University, Varanasi, Uttar Pradesh 221005, India.
Manvender SinghDepartment of Biotechnology, UIET, MD University, Rohtak, Haryana 124001, India.
Vijendra SharmaDepartment of Biomedical Sciences, University of Windsor, ON, Canada, N9B 3P4.
Abraham B KorolInstitute of Evolution, University of Haifa, Haifa 3498838, Israel.
Pawel MichalakInstitute of Evolution, University of Haifa, Haifa 3498838, Israel.

Funding

Department of Biotechnology BT/PR44574/BRB/10/2024/2021University of Delhi F.N0.IV/288/2021-22/19
6 · The paper itself

Abstract

Thermal stress imposes significant challenges on organisms, influencing cellular functions, morphology and survival. This study investigates the transcriptomic and phenotypic adaptations of Drosophila melanogaster populations subjected to constant high-temperature (HT) and fluctuating-temperature (FT) regimes over 80 generations in experimental evolution settings. RNA sequencing identified 1288 and 1152 differentially expressed genes in HT and FT populations, respectively, relative to the baseline population. Multiple gene ontology (GO) terms, including chromatin organization, nucleosome assembly, nucleic acid binding and polytene chromosome band formation, were enriched under both regimes, suggesting shared adaptive pathways. A weighted gene co-expression network analysis (WGCNA) revealed mitochondrial function and protein homeostasis as central to thermal adaptation, with HT populations showing enrichment of DNA repair and FT populations exhibiting enrichment of RNA processing and translation regulation-related terms. Phenotypic assays demonstrated increased heat tolerance, accelerated development and prolonged longevity in evolved populations, highlighting parallel as well as thermal regime-specific adaptive responses. This study emphasizes the complexity of transcriptomic-phenotypic adaptations to thermal stress in new environments.

Indexed as

Biological EvolutionDrosophila melanogasterTranscriptomeAdaptation, PhysiologicalAnimalsFemaleHeat-Shock ResponseHot TemperatureLongevityMalePhenotypeThermotoleranceGenomic adaptationPhysiological assaysThermal regime-specific patternsThermal stressTranscriptome profiling

Identifiers

PMID41058312
PMCPMC12539207

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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.