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Close-kin mark-recapture methods to estimate demographic parameters of mosquitoes

Yogita Sharma, Jared B. Bennett, Gordana Rašić, John M. Marshall
doi: https://doi.org/10.1101/2022.02.19.481126
Yogita Sharma
1Divisions of Biostatistics and Epidemiology, School of Public Health, University of California, Berkeley, CA, USA
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Jared B. Bennett
2Biophysics Graduate Group, Division of Biological Sciences, College of Letters and Science, University of California, Berkeley, CA, USA
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Gordana Rašić
3Mosquito Genomics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
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John M. Marshall
1Divisions of Biostatistics and Epidemiology, School of Public Health, University of California, Berkeley, CA, USA
4Innovative Genomics Institute, University of California, Berkeley, CA, USA
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  • For correspondence: john.marshall@berkeley.edu
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Abstract

Close-kin mark-recapture (CKMR) methods have recently been used to infer demographic parameters such as census population size and survival for fish of interest to fisheries and conservation. These methods have advantages over traditional mark-recapture methods as the mark is genetic, removing the need for physical marking and recapturing that may interfere with parameter estimation. For mosquitoes, the spatial distribution of close-kin pairs has been used to estimate mean dispersal distance, of relevance to vector-borne disease transmission and novel biocontrol strategies. Here, we extend CKMR methods to the life history of mosquitoes and comparable insects. We derive kinship probabilities for mother-offspring, father-offspring, full-sibling and half-sibling pairs, where an individual in each pair may be a larva, pupa or adult. A pseudo-likelihood approach is used to combine the marginal probabilities of all kinship pairs. To test the effectiveness of this approach at estimating mosquito demographic parameters, we develop an individual-based model of mosquito life history incorporating egg, larva, pupa and adult life stages. The simulation labels each individual with a unique identification number, enabling close-kin relationships to be inferred for sampled individuals. Using the dengue vector Aedes aegypti as a case study, we find the CKMR approach provides unbiased estimates of adult census population size, adult and larval mortality rates, and larval life stage duration for logistically feasible sampling schemes. Considering a simulated population of 3,000 adult mosquitoes, estimation of adult parameters is accurate when a total of 1,000 adult females are sampled biweekly-to-fortnightly over a three month period. Estimation of larval parameters is accurate when adult sampling is supplemented with a total of 4,000 larvae sampled biweekly over the same period. As the cost of genome sequencing declines, these methods hold great promise for characterizing the demography of mosquitoes and comparable insects of epidemiological and agricultural significance.

Author summary Close-kin mark-recapture (CKMR) methods are a genetic analogue of traditional mark-recapture methods in which the frequency of marked individuals in a sample is used to infer demographic parameters such as census population size and mean dispersal distance. In CKMR, the mark is a close-kin relationship between individuals (parents and offspring, siblings, etc.). While CKMR methods have mostly been applied to aquatic species to date, opportunities exist to apply them to insects and other terrestrial species. Here, we explore the application of CKMR to mosquitoes, with Aedes aegypti, a primary vector of dengue, chikungunya and yellow fever, as a case study. By analyzing simulated Ae. aegypti populations, we find the CKMR approach provides unbiased estimates of adult census population size, adult and larval mortality rates, and larval life stage duration. Optimal sampling schemes are consistent with Ae. aegypti ecology and field studies, requiring only minor adjustments to current mosquito surveillance programs. This study represents the first theoretical exploration of the application of CKMR to an insect species, and demonstrates its potential for characterizing the demography of insects of epidemiological and agricultural importance.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted February 22, 2022.
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Close-kin mark-recapture methods to estimate demographic parameters of mosquitoes
Yogita Sharma, Jared B. Bennett, Gordana Rašić, John M. Marshall
bioRxiv 2022.02.19.481126; doi: https://doi.org/10.1101/2022.02.19.481126
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Close-kin mark-recapture methods to estimate demographic parameters of mosquitoes
Yogita Sharma, Jared B. Bennett, Gordana Rašić, John M. Marshall
bioRxiv 2022.02.19.481126; doi: https://doi.org/10.1101/2022.02.19.481126

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