Evidence map›Paper›PMID 40208847›Full record

ArticlePLoS neglected tropical diseases2025

Significant Serpents: Predictive Modelling of Bioclimatic Venom Variation in Russell's Viper.

Navaneel Sarangi, R R Senji Laxme, Kartik Sunagar

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Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Navaneel SarangiCentre for Ecological Sciences, Indian Institute of Science Bangalore, India.
R R Senji LaxmeCentre for Ecological Sciences, Indian Institute of Science Bangalore, India.
Kartik SunagarCentre for Ecological Sciences, Indian Institute of Science Bangalore, India.ORCID 0000-0003-0998-1581

Funding

Prime Minister’s Research Fellowship (PMRF) from the Ministry of Human Resource Development (MHRD)Wellcome Trust IA/I/19/2/504647
6 · The paper itself

Abstract

backgroundRussell's viper (Daboia russelii) is the clinically most important snake species in the world. Considerable variation has been documented in D. russelii venoms across the Indian subcontinent, which can drive the diverse envenomation profiles in snakebite victims. Therefore, understanding the role of ecological and environmental factors influencing the compositional and functional variation can provide critical insights into the complex evolutionary adaptations of this species and pave the way for the development of targeted therapies.

methodsWe examined the influence of bioclimatic factors on D. russelii venom functions by analysing 115 samples sourced from various locations across India. The enzymatic activities of major toxins, such as proteases and phospholipases, were estimated to capture the functional variation in these venoms. Multiple regression models were developed to evaluate the relationship between venom variability and the historical climate data, specifically temperature and precipitation. Furthermore, predictive models were employed to map venom phenotypes across the distribution range of D. russelii.

findingsOur findings reveal a collective influence of various temperature and precipitation parameters that partly explain the variability in enzymatic activities of D. russelii venom. Our models effectively captured regional differences in venom composition and linked climatic conditions with functional variations.

conclusionThis study highlights the significant role of abiotic factors in shaping the venom profiles of Russell's vipers across India. The predictive venom phenotype maps developed from our models can guide the deployment of targeted therapies and treatment protocols across the biogeographically diverse Indian subcontinent and improve clinical treatment outcomes of D. russelii envenoming. This research enhances our understanding of venom phenotype evolution and has practical implications for improving snakebite management.

Indexed as

DaboiaViper VenomsAnimalsClimateIndiaSnake BitesTemperatureViper Venoms

Identifiers

PMID40208847
PMCPMC11984747

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