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      Preliminary population studies of the grassland swallowtail butterfly Euryades corethrus (Lepidoptera, Papilionidae)

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          Abstract

          Abstract Euryades corethrus is a Troidini butterfly (Papilionidae, Papilioninae), endemic to grasslands in southern Brazil, Uruguay, Argentina and Paraguay. Formerly abundant, nowadays it is in the Red list of endangered species for those areas. During its larval stage, it feeds on Aristolochia spp, commonly found in southern grasslands. These native grassland areas are diminishing, being converted to crops and pastures, causing habitat loss for Aristolochia and E. corethrus. This study aimed to assess the genetic diversity, population structure and demographic history of E. corethrus. We sampled eight populations from Rio Grande do Sul, Brazil and based on Cytochrome Oxidase subunit I (COI) molecular marker, our results suggest a low genetic variability between populations, presence of gene flow and, consequently, lack of population structure. A single maternally inherited-genetic marker is insufficient for population-level decisions, but barcoding is a useful tool during early stages of population investigation, bringing out genomic diversity patterns within the target species. Those populations likely faced a bottleneck followed by a rapid expansion during the last glaciation and subsequent stabilization in effective population size. Habitat loss is a threat, which might cause isolation, loss of genetic variability and, ultimately, extinction of E. corethrus if no habitat conservation policy is adopted.

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          Most cited references102

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          DnaSP 6: DNA Sequence Polymorphism Analysis of Large Data Sets.

          We present version 6 of the DNA Sequence Polymorphism (DnaSP) software, a new version of the popular tool for performing exhaustive population genetic analyses on multiple sequence alignments. This major upgrade incorporates novel functionalities to analyze large data sets, such as those generated by high-throughput sequencing technologies. Among other features, DnaSP 6 implements: 1) modules for reading and analyzing data from genomic partitioning methods, such as RADseq or hybrid enrichment approaches, 2) faster methods scalable for high-throughput sequencing data, and 3) summary statistics for the analysis of multi-locus population genetics data. Furthermore, DnaSP 6 includes novel modules to perform single- and multi-locus coalescent simulations under a wide range of demographic scenarios. The DnaSP 6 program, with extensive documentation, is freely available at http://www.ub.edu/dnasp.
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            popart: full-feature software for haplotype network construction

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              Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.

              F Tajima (1989)
              The relationship between the two estimates of genetic variation at the DNA level, namely the number of segregating sites and the average number of nucleotide differences estimated from pairwise comparison, is investigated. It is found that the correlation between these two estimates is large when the sample size is small, and decreases slowly as the sample size increases. Using the relationship obtained, a statistical method for testing the neutral mutation hypothesis is developed. This method needs only the data of DNA polymorphism, namely the genetic variation within population at the DNA level. A simple method of computer simulation, that was used in order to obtain the distribution of a new statistic developed, is also presented. Applying this statistical method to the five regions of DNA sequences in Drosophila melanogaster, it is found that large insertion/deletion (greater than 100 bp) is deleterious. It is suggested that the natural selection against large insertion/deletion is so weak that a large amount of variation is maintained in a population.
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                Author and article information

                Journal
                aabc
                Anais da Academia Brasileira de Ciências
                An. Acad. Bras. Ciênc.
                Academia Brasileira de Ciências (Rio de Janeiro, RJ, Brazil )
                0001-3765
                1678-2690
                2023
                : 95
                : 2
                : e20210503
                Affiliations
                [5] Lisboa orgnameUniversidade Nova de Lisboa orgdiv1Faculdade de Ciências Médicas Portugal
                [2] Porto Alegre Rio Grande do Sul orgnameUniversidade Federal do Rio Grande do Sul orgdiv1Departamento de Zoologia Brazil
                [1] Porto Alegre Rio Grande do Sul orgnameUniversidade Federal do Rio Grande do Sul orgdiv1Programa de Pós-Graduação em Biologia Animal Brazil
                [4] Porto Alegre Rio Grande do Sul orgnameUniversidade Federal do Rio Grande do Sul orgdiv1Programa de Pós-Graduação em Genética e Biologia Molecular Brazil
                [3] Porto Alegre Rio Grande do Sul orgnameUniversidade Federal do Rio Grande do Sul orgdiv1Departamento de Genética Brazil
                [6] Lisboa orgnameUniversidade de Lisboa, Faculdade de Ciências orgdiv1Faculdade de Ciências Portugal
                Article
                S0001-37652023000301312 S0001-3765(23)09500201312
                10.1590/0001-3765202320210503
                bc5efdc0-b4d6-4ba8-b19c-05f7dfb20af2

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 01 April 2021
                : 10 June 2021
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 102, Pages: 0
                Product

                SciELO Brazil

                Categories
                Animal Science

                conservation,phylogeography,population genetics,barcoding,COI,gene flow

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