Published June 18, 2022 | Version v1
Dataset Open

Close kin dyads indicate intergenerational dispersal and barriers

Authors/Creators

  • 1. University of Melbourne

Description

The movement of individuals through continuous space is typically constrained by dispersal ability and dispersal barriers. A range of approaches have been developed to investigate these. Kindisperse is a new approach that infers intergenerational dispersal (σ) from close kin dyads, and appears particularly useful for investigating taxa that are difficult to observe individually. This study, focusing on the mosquito Aedes aegypti, shows how the same close kin data can also be used for barrier detection. We empirically demonstrate this new extension of the method using genome-wide sequence data from 266 Ae. aegypti. First, we use the spatial distribution of full-sib dyads collected within one generation to infer past movements of ovipositing female mosquitoes. These dyads indicated the relative barrier strengths of two roads, and performed favourably against alternative genetic methods for detecting barriers. The difference in variance between the sib and first cousin spatial distributions was used to infer movement over the past two generations, providing estimates of intergenerational dispersal (σ = 81.5-197.1 m.gen-1/2) and density (ρ = 833-4864 km-2). Dispersal estimates showed general agreement with those from mark-release-recapture studies. Barriers, σ, ρ, and neighbourhood size (331-526) can inform forthcoming releases of dengue-suppressing Wolbachia bacteria into this mosquito population.

Notes

All information is listed in the README and in the paper: https://doi.org/10.1101/2022.01.18.476819

Access to bam files used in these analyses is through NCBI SRA, accession numbers: PRJNA837703, PRJNA542421, SRP118883, PRJNA684450

Funding provided by: Commonwealth Scientific and Industrial Research Organisation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000943
Award Number:

Funding provided by: King Abdulaziz City for Science and Technology
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100004919
Award Number:

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Additional details

Related works

Is cited by
10.1101/2022.01.18.476819 (DOI)
Is derived from
10.5281/zenodo.6642522 (DOI)