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Genomic Data Characterize Reproductive Ecology Patterns in Michigan Invasive Red Swamp Crayfish (Procambarus clarkii)

Authors :
Nicole E. Adams
Jared J. Homola
Nicholas M. Sard
Lucas R. Nathan
Brian M. Roth
John D. Robinson
Kim T. Scribner
Source :
Evolutionary Applications, Vol 17, Iss 9, Pp n/a-n/a (2024)
Publication Year :
2024
Publisher :
Wiley, 2024.

Abstract

ABSTRACT The establishment and spread of invasive species are directly related to intersexual interactions as dispersal and reproductive success are related to distribution, effective population size, and population growth. Accordingly, populations established by r‐selected species are particularly difficult to suppress or eradicate. One such species, the red swamp crayfish (Procambarus clarkii) is established globally at considerable ecological and financial costs to natural and human communities. Here, we develop a single nucleotide polymorphism (SNP) loci panel for P. clarkii using restriction‐associated DNA‐sequencing data. We use the SNP panel to successfully genotype 1800 individuals at 930 SNPs in southeastern Michigan, USA. Genotypic data were used to reconstruct pedigrees, which enabled the characterization of P. clarkii's mating system and statistical tests for associations among environmental, demographic, and phenotypic predictors and adult reproductive success estimates. We identified juvenile cohorts using genotype‐based pedigrees, body size, and sampling timing, which elucidated the breeding phenology of multiple introduced populations. We report a high prevalence of multiple paternity in each surveyed waterbody, indicating polyandry in this species. We highlight the use of newly developed rapid genomic assessment tools for monitoring population reproductive responses, effective population sizes, and dispersal during ongoing control efforts.

Details

Language :
English
ISSN :
17524571
Volume :
17
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Evolutionary Applications
Publication Type :
Academic Journal
Accession number :
edsdoj.7a4df0874a6498e8ed7db6681c8a5dd
Document Type :
article
Full Text :
https://doi.org/10.1111/eva.70007