Evidence map›Paper›PMID 40971862›Full record

ArticleGenomics, proteomics & bioinformatics2025

Genomic Insights into Hybridization and Speciation of Mitten Crabs in the Eriocheir Genus.

Jun Wang 王军, Xin Hou 侯鑫, Xiaowen Chen 陈晓雯, Roland Nathan Mandal, Nusrat Hasan Kanika, Chunhong Yuan 袁春红, Yongju Luo 罗永巨, Chenghui Wang 王成辉

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Jun Wang 王军Key Laboratory of Freshwater Aquatic Genetic Resources Certificated by the Ministry of Agriculture and Rural Affairs / National Demonstration Center for Experimental Fisheries Science Education / Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai 201306, China.ORCID 0000-0002-6591-3316
Xin Hou 侯鑫Key Laboratory of Freshwater Aquatic Genetic Resources Certificated by the Ministry of Agriculture and Rural Affairs / National Demonstration Center for Experimental Fisheries Science Education / Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai 201306, China.ORCID 0000-0002-3705-0736
Xiaowen Chen 陈晓雯Key Laboratory of Freshwater Aquatic Genetic Resources Certificated by the Ministry of Agriculture and Rural Affairs / National Demonstration Center for Experimental Fisheries Science Education / Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai 201306, China.ORCID 0000-0002-2783-2902
Roland Nathan MandalKey Laboratory of Freshwater Aquatic Genetic Resources Certificated by the Ministry of Agriculture and Rural Affairs / National Demonstration Center for Experimental Fisheries Science Education / Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai 201306, China.ORCID 0009-0000-3386-0611
Nusrat Hasan KanikaKey Laboratory of Freshwater Aquatic Genetic Resources Certificated by the Ministry of Agriculture and Rural Affairs / National Demonstration Center for Experimental Fisheries Science Education / Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai 201306, China.ORCID 0000-0003-0049-9473
Chunhong Yuan 袁春红Faculty of Agriculture, Agri-Innovation Center, Iwate University, Morioka 020-8550, Japan.ORCID 0000-0003-1371-7599
Yongju Luo 罗永巨Guangxi Tilapia Genetic Breeding Center, Guangxi Academy of Fishery Sciences, Nanning 530021, China.ORCID 0000-0002-2604-7187
Chenghui Wang 王成辉Key Laboratory of Freshwater Aquatic Genetic Resources Certificated by the Ministry of Agriculture and Rural Affairs / National Demonstration Center for Experimental Fisheries Science Education / Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai 201306, China.ORCID 0000-0002-6523-7610

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hybridization is a prominent and influential phenomenon with significant implications for adaptive evolution, species distribution, and biodiversity. However, the intricacies of how hybridization influences genomic structure and facilitates adaptive evolution remain poorly understood. By analyzing whole-genome data from seven populations within the Eriocheir genus across diverse geographic regions, we validated a complex hybridization history between Chinese and Japanese mitten crabs. This hybridization gave rise to two distinct ecological species: Hepu and Russian mitten crabs with unique genomic architectures and adaptations. Genes related to reproduction, development, and temperature adaptation exhibited divergent selection signals, potentially contributing to their phenotypic diversity and ecological niches. Meanwhile, genes associated with reproduction, namely Birc6, Bap31, and Poxn, displayed robust evidence of selective sweeps in Hepu mitten crab. Notably, the favored alleles for these genes originated from the parental lineages during the hybridization process. Furthermore, Hepu mitten crab is a homoploid hybrid species that originated from an ancient hybridization event, resolving its longstanding taxonomic controversy. Our study sheds light on the evolutionary history of mitten crabs and highlights the crucial role of hybridization in driving adaptation, range expansion, and diversification within the Eriocheir genus.

Indexed as

BrachyuraGenetic SpeciationGenomeHybridization, GeneticAnimalsGenomicsPhylogenyAdaptative radiationEcological distributionHybridizationReproductive isolationSpeciation

Identifiers

PMID40971862
PMCPMC12996911

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.