Evidence map›Paper›PMID 41202012›Full record

ArticlePloS one2025

Structural and evolutionary constraints shape adaptive landscapes of immune-related genes across mammalian phylogeny.

Zhengtian Li, Mubbashar Hassan, Hafiz Ishfaq Ahmad, Muhammad Adnan Ashraf, Akhtar Rasool Asif, Iram Qadeer, Abid Hussain Shahzad, Shaista Abbas, Muhammad Sajid, Abdul Mateen and 4 more

Expression of concernAbstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. AncestralAnimals : an open access journal from MDPI · 2026
    Article
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  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Zhengtian LiCollege of Biological Resource and Food Engineering, Qujing Normal University, Yunnan, 655011, China.
Mubbashar HassanDepartment of Clinical Sciences, Theriogenology Section, College of Veterinary and Animal Sciences, Jhang, Sub Campus UVAS, Lahore, Pakistan.
Hafiz Ishfaq AhmadDepartment of Animal Breeding and Genetics, Faculty of Veterinary and Animal Sciences, The Islamia University of Bahawalpur, Pakistan.ORCID https://orcid.org/0000-0002-7512-3254
Muhammad Adnan AshrafInstitute of Microbiology, Faculty of Veterinary Science, University of Veterinary and Animal Sciences, Lahore, Pakistan.ORCID https://orcid.org/0000-0001-8152-5746
Akhtar Rasool AsifDepartment of Animal Sciences, College of Veterinary and Animal Sciences, Jhang, Sub Campus UVAS, Lahore, Pakistan.
Iram QadeerDepartment of Zoology, The Govt. Sadiq College Women University, Bahawalpur, Pakistan.
Abid Hussain ShahzadDepartment of Clinical Sciences, Theriogenology Section, College of Veterinary and Animal Sciences, Jhang, Sub Campus UVAS, Lahore, Pakistan.
Shaista AbbasDepartment of Basics Sciences, Physiology Section, College of Veterinary and Animal Sciences, Jhang, Sub Campus UVAS, Lahore, Pakistan.
Muhammad SajidDepartment of Pathobiology, College of Veterinary and Animal Sciences, Jhang, Sub Campus UVAS, Lahore, Pakistan.
Abdul MateenDepartment of Clinical Sciences, College of Veterinary and Animal Sciences, Jhang, Sub Campus UVAS, Lahore, Pakistan.
Irfan AhmedDepartment of Animal Nutrition, Faculty of Veterinary and Animal Sciences, The Islamia University of Bahawalpur, Pakistan.
Jamal MuhammadDepartment of Parasitology, Faculty of Veterinary Sciences, Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan.
Sayyed Aun MuhammadDepartment of Clinical Sciences, College of Veterinary and Animal Sciences, Jhang, Sub Campus UVAS, Lahore, Pakistan.
Farid S AtayaDepartment of Biochemistry, College of Science, King Saud University, PO Box 2455, Riyadh, 11451, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolutionary dynamics of immune-related genes GBP5, GZMB, IFNG, IRF7, KLRD1, RTP4, TNFSF4, and TRAT1 were investigated through comprehensive phylogenetic and selection analyses across mammalian species. Using concatenated gene sequences, we applied advanced methods including PAML (a software tool that analyzes evolutionary selection pressures by comparing rates of genetic changes), MEME (a method to identify patterns in protein sequences that may indicate functional sites), and structural modeling (a technique to predict 3D protein shapes) to assess co-evolution and adaptation. Site- and branch-specific selection tests revealed widespread positive selection (ω > 1), with 15-26 branches showing statistically significant adaptive evolution (p < 0.05), particularly in functional domains critical for pathogen recognition and immune regulation. Recombination analysis identified gene-specific patterns, with GBP5, GZMB, and IRF7 exhibiting significant recombination breakpoints, while IFNG and TNFSF4 remained conserved. Functional annotation highlighted the biological relevance of selected sites, linking them to inflammasome activation (GBP5), apoptotic pathways (GZMB), interferon signaling (IFNG, IRF7), and lymphocyte regulation (KLRD1, TNFSF4). Tissue-specific expression analysis confirmed these genes' roles in immune-active tissues, with enriched pathways including Th1/Th2 differentiation (KEGG hsa04658) and cytokine regulation. These findings underscore the persistent evolutionary arms race between hosts and pathogens, with immune genes adapting to maintain effective defense mechanisms. The study provides a framework for understanding mammalian immune gene evolution, offering insights into conserved functional domains that may inform therapeutic targeting and vaccine design. By integrating phylogenetics, selection analysis, and functional genomics, we elucidate the molecular signatures of adaptation in key immune regulators, advancing our knowledge of host-pathogen coevolution.

Indexed as

Evolution, MolecularMammalsPhylogenyAnimalsHumansSelection, Genetic

Identifiers

PMID41202012
PMCPMC12594431

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.