Evidence map›Paper›PMID 42183147›Full record

ReviewScientifica2026

Transcriptomic Insights Into the Evolution of Snake Venom: Mechanisms, Diversity, and Adaptation.

Fajar Sofyantoro, Wisnu Ananta Kusuma, Setyanto Tri Wahyudi, Favorisen Rosyking Lumbanraja, Hendra Rahmawan, Heru Cahya Rustamaji, Dhadhang Wahyu Kurniawan, Undri Rastuti, Wahyu Aristyaning Putri, Wiko Arif Wibowo and 4 more

Abstract readReview
In one paragraph

Review in Scientifica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

14 authors.

Fajar SofyantoroDepartment of Tropical Biology, Faculty of Biology, Universitas Gadjah Mada, Yogyakarta, Indonesia, ugm.ac.id.ORCID https://orcid.org/0000-0003-0952-1956
Wisnu Ananta KusumaDepartment of Computer Science, School of Data Science, Mathematics, and Informatics, IPB University, Bogor, Indonesia, ipb.ac.id.ORCID https://orcid.org/0000-0002-3682-244X
Setyanto Tri WahyudiBioinformatics Study Program, Faculty of Mathematics and Natural Sciences, IPB University, Bogor, Indonesia, ipb.ac.id.ORCID https://orcid.org/0000-0003-0007-1186
Favorisen Rosyking LumbanrajaDepartment of Computer Science, Faculty of Mathematics and Natural Sciences, Universitas Lampung, Lampung, Indonesia, unila.ac.id.ORCID https://orcid.org/0000-0002-1790-831X
Hendra RahmawanDepartment of Computer Science, School of Data Science, Mathematics, and Informatics, IPB University, Bogor, Indonesia, ipb.ac.id.ORCID https://orcid.org/0000-0003-1918-8317
Heru Cahya RustamajiDepartment of Informatics, Faculty of Industrial Technology, UPN Veteran Yogyakarta, Yogyakarta, Indonesia.ORCID https://orcid.org/0000-0001-8283-863X
Dhadhang Wahyu KurniawanDepartment of Pharmacy, Faculty of Health Sciences, Universitas Jenderal Soedirman, Purwokerto, Central Java, Indonesia, unsoed.ac.id.ORCID https://orcid.org/0000-0003-4843-3756
Undri RastutiDepartment of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Jenderal Soedirman, Purwokerto, Central Java, Indonesia, unsoed.ac.id.ORCID https://orcid.org/0000-0002-3921-188X
Wahyu Aristyaning PutriDepartment of Tropical Biology, Faculty of Biology, Universitas Gadjah Mada, Yogyakarta, Indonesia, ugm.ac.id.ORCID https://orcid.org/0000-0002-0007-3301
Wiko Arif WibowoDepartment of Tropical Biology, Faculty of Biology, Universitas Gadjah Mada, Yogyakarta, Indonesia, ugm.ac.id.ORCID https://orcid.org/0000-0002-8077-6778
Dwi Sendi PriyonoDepartment of Tropical Biology, Faculty of Biology, Universitas Gadjah Mada, Yogyakarta, Indonesia, ugm.ac.id.ORCID https://orcid.org/0000-0001-5828-7559
Donan Satria YudhaDepartment of Tropical Biology, Faculty of Biology, Universitas Gadjah Mada, Yogyakarta, Indonesia, ugm.ac.id.ORCID https://orcid.org/0000-0003-4758-3314
Slamet RaharjoDepartment of Internal Medicine, Faculty of Veterinary Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia, ugm.ac.id.ORCID https://orcid.org/0000-0001-5875-7960
Tri Rini NuringtyasDepartment of Tropical Biology, Faculty of Biology, Universitas Gadjah Mada, Yogyakarta, Indonesia, ugm.ac.id.ORCID https://orcid.org/0000-0002-8011-8396

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Snake venoms are evolutionarily refined biochemical arsenals composed of diverse toxins with complex functional roles in predation, defense, and competition. Over the past 2 decades, transcriptomic approaches have transformed venom research by enabling high-resolution insights into gene expression dynamics, molecular diversity, and the evolutionary mechanisms driving venom variation across lineages. In this review, we present a comprehensive synthesis of snake venom transcriptomics literature and propose a conceptual framework structured around three major axes: (1) gene family expansion through duplication and neofunctionalization; (2) regulatory complexity encompassing transcriptional, posttranscriptional, and epigenetic modulation; and (3) ecological selection pressures shaping venom profiles in response to diet, habitat, and interspecific interactions. We integrate findings from diverse taxa and technologies, including bulk RNA sequencing, long-read transcriptomics, and spatial or single-cell approaches, to highlight progress and gaps in current knowledge. A bibliometric analysis of 358 studies from 2002 to 2024 reveals significant growth in the field, with key contributions from institutions in the United States, Brazil, and Australia. Despite this progress, transcriptomic research remains geographically and taxonomically biased, with challenges in toxin annotation, data standardization, and integrative multiomics still unresolved. We conclude by emphasizing the growing role of integration with other omics approaches, advancements in single-cell transcriptomics, and the emerging potential of computational modeling in reconstructing venom evolution.

Indexed as

adaptationevolutionmultiomicssnake venomtranscriptomics

Identifiers

PMID42183147
PMCPMC13191769

What OpenQuestion 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 OpenQuestion graph.