Evidence map›Paper›PMID 40117180›Full record

ArticleGigaScience2025

Genomic and transcriptomic analyses of Heteropoda venatoria reveal the expansion of P450 family for starvation resistance in spiders.

Guoqing Zhang, Yiru Wang, Hongcen Jiang, Yi Wang

Abstract read
In one paragraph

Article in GigaScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

4 authors.

Guoqing ZhangIntegrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City, Biological Science Research Center, Southwest University, Chongqing 400715, China.ORCID 0009-0003-1637-0399
Yiru WangIntegrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City, Biological Science Research Center, Southwest University, Chongqing 400715, China.ORCID 0009-0003-9501-1852
Hongcen JiangIntegrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City, Biological Science Research Center, Southwest University, Chongqing 400715, China.ORCID 0009-0004-4962-0750
Yi WangIntegrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City, Biological Science Research Center, Southwest University, Chongqing 400715, China.ORCID 0000-0002-4706-8171

Funding

China Agricultural UniversityInnovative Research of Southwest University SWU-XJLJ202306National Key Research and Development Program of China 2023YFF0713900Science and Technology Innovation Key R&D Program of Chongqing CSTB2022TIAD-STX0015Southwest University
6 · The paper itself

Abstract

backgroundResearch on the mechanism of starvation resistance can help reveal how animals adjust their physiology and behavior to adapt to the uncertainty of food resources. A low metabolic rate is a significant characteristic of spider physiological activity and can increase spider starvation resistance and adapt to complex ecological environments.

resultsWe sequenced the genome of Heteropoda venatoria and discovered significant expansions in gene families related to lipid metabolism, such as cytochrome P450 and steroid hormone biosynthesis genes, through comparative genomic analysis. We also systematically analyzed the gene expression characteristics of H. venatoria at different starvation resistance stages and reported that the fat body plays a crucial role during starvation in spiders. This study indicates that during the early stages of starvation, H. venatoria relies on glucose metabolism to meet its energy demands. In the middle stage, gene expression stabilizes, whereas in the late stage of starvation, pathways for fatty acid metabolism and protein degradation are significantly activated, and autophagy is increased, serving as a survival strategy under extreme starvation. Notably, analysis of expanded P450 gene families revealed that H. venatoria has many duplicated CYP3 clan genes that are highly expressed in the fat body, which may help maintain a low-energy metabolic state, allowing H. venatoria to endure longer periods of starvation. We also observed that the motifs of P450 families in H. venatoria are less conserved than those in insects are, which may be related to the greater polymorphism of spider genomes.

conclusionsThis research not only provides important genetic and transcriptomic evidence for understanding the starvation mechanisms of spiders but also offers new insights into the adaptive evolution of arthropods.

Indexed as

Cytochrome P-450 Enzyme SystemGenomicsSpidersStarvationTranscriptomeAnimalsGene Expression ProfilingGenomeLipid MetabolismMultigene FamilyPhylogenyCytochrome P-450 Enzyme Systemcytochrome P450gene family expansionHeteropoda venatoriastarvation resistancetranscriptomics

Identifiers

PMID40117180
PMCPMC11927401

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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.