Dataset Information

Using Noninvasive Genetic Sampling to Survey Rare Butterfly Populations.

ABSTRACT: Advances in nondestructive genetic sampling techniques continue to offer new opportunities for studying organisms, particularly those of conservation concern where more traditional invasive sampling methods are often not available. As part of a proof-of-concept, we investigated the effectiveness of using the chorion from residual butterfly egg debris as a source of viable genetic material for analysis. Laboratory material from a captive breeding population of the federally endangered Miami blue butterfly (Cyclargus thomasi bethunebakeri) was used to test efficacy and refine the methodology. The resulting best practices were subsequently evaluated using field-collected material from extant north Florida populations of the at-risk frosted elfin butterfly (Callophyrs irus). Our results demonstrated that it is possible to extract DNA of sufficiently high quantity and quality for successful gene sequencing. We additionally describe a simple, low-cost, and reliable method of collecting and storing egg debris samples that can be consistently adopted for field or laboratory work as well as deployed with projects that have a larger geographic scope and/or involve citizen scientists. Potential limitations related to field sample collection are discussed as well as needs for future evaluation.

SUBMITTER: Storer C

PROVIDER: S-EPMC6835262 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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Using Noninvasive Genetic Sampling to Survey Rare Butterfly Populations.

Storer Caroline C Daniels Jaret J Xiao Lei L Rossetti Kristin K

Insects 20190923 10

Advances in nondestructive genetic sampling techniques continue to offer new opportunities for studying organisms, particularly those of conservation concern where more traditional invasive sampling methods are often not available. As part of a proof-of-concept, we investigated the effectiveness of using the chorion from residual butterfly egg debris as a source of viable genetic material for analysis. Laboratory material from a captive breeding population of the federally endangered Miami blue ...[more]

PMID: 31547512

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Project description:Understanding factors influencing patterns of genetic diversity and the population genetic structure of species is of particular importance in the current era of global climate change and habitat loss. These factors include the evolutionary history of a species as well as heterogeneity in the environment it occupies, which in turn can change across time. Most studies investigating spatio-temporal genetic patterns have focused on patterns across wide geographic areas rather than local variation, but the latter can nevertheless be important particularly in topographically complex areas. Here, we consider these issues in the Sooty Copper butterfly (Lycaena tityrus) from the European Alps, using genome-wide SNPs identified through RADseq. We found strong genetic differentiation within the Alps with four genetic clusters, indicating western, central, and eastern refuges, and a strong reduction of genetic diversity from west to east. This reduction in diversity may suggest that the southwestern refuge was the largest one in comparison to other refuges. Also, the high genetic diversity in the west may result from (a) admixture of different western refuges, (b) more recent demographic changes, or (c) introgression of lowland L. tityrus populations. At small spatial scales, populations were structured by several landscape features and especially by high mountain ridges and large river valleys. We detected 36 outlier loci likely under altitudinal selection, including several loci related to membranes and cellular processes. We suggest that efforts to preserve alpine L. tityrus should focus on the genetically diverse populations in the western Alps, and that the dolomite populations should be treated as genetically distinct management units, since they appear to be currently more threatened than others. This study demonstrates the usefulness of SNP-based approaches for understanding patterns of genetic diversity, gene flow, and selection in a region that is expected to be particularly vulnerable to climate change.

Dataset Information

Using Noninvasive Genetic Sampling to Survey Rare Butterfly Populations.

Publications

Using Noninvasive Genetic Sampling to Survey Rare Butterfly Populations.

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