1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Population genomics reveals how 5 ka of human occupancy led the Lima leaf-toed gecko ( Phyllodactylus sentosus) to the brink of extinction

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Small species with high home fidelity, high ecological specialization or low vagility are particularly prone to suffer from habitat modification and fragmentation. The Lima leaf-toed gecko ( Phyllodactylus sentosus) is a critically endangered Peruvian species that shelters mostly in pre-Incan archeological areas called huacas, where the original environmental conditions are maintained . We used genotyping by sequencing to understand the population genomic history of P. sentosus. We found low genetic diversity (He 0.0406–0.134 and nucleotide diversity 0.0812–0.145) and deviations of the observed heterozygosity relative to the expected heterozygosity in some populations (F is − 0.0202 to 0.0187). In all analyses, a clear population structuring was observed that cannot be explained by isolation by distance alone. Also, low levels of historical gene flow were observed between most populations, which decreased as shown in contemporary migration rate analysis. Demographic inference suggests these populations experienced bottleneck events during the last 5 ka. These results indicate that habitat modification since pre-Incan civilizations severely affected these populations, which currently face even more drastic urbanization threats. Finally, our predictions show that this species could become extinct in a decade without further intervention, which calls for urgent conservation actions being undertaken.

          Related collections

          Most cited references84

          • Record: found
          • Abstract: not found
          • Article: not found

          Cutadapt removes adapter sequences from high-throughput sequencing reads

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            fastp: an ultra-fast all-in-one FASTQ preprocessor

            Abstract Motivation Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, adapter trimming and quality filtering. These tools are often insufficiently fast as most are developed using high-level programming languages (e.g. Python and Java) and provide limited multi-threading support. Reading and loading data multiple times also renders preprocessing slow and I/O inefficient. Results We developed fastp as an ultra-fast FASTQ preprocessor with useful quality control and data-filtering features. It can perform quality control, adapter trimming, quality filtering, per-read quality pruning and many other operations with a single scan of the FASTQ data. This tool is developed in C++ and has multi-threading support. Based on our evaluation, fastp is 2–5 times faster than other FASTQ preprocessing tools such as Trimmomatic or Cutadapt despite performing far more operations than similar tools. Availability and implementation The open-source code and corresponding instructions are available at https://github.com/OpenGene/fastp.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7

              Abstract Bayesian inference of phylogeny using Markov chain Monte Carlo (MCMC) plays a central role in understanding evolutionary history from molecular sequence data. Visualizing and analyzing the MCMC-generated samples from the posterior distribution is a key step in any non-trivial Bayesian inference. We present the software package Tracer (version 1.7) for visualizing and analyzing the MCMC trace files generated through Bayesian phylogenetic inference. Tracer provides kernel density estimation, multivariate visualization, demographic trajectory reconstruction, conditional posterior distribution summary, and more. Tracer is open-source and available at http://beast.community/tracer.
                Bookmark

                Author and article information

                Contributors
                jramirezma@unmsm.edu.pe
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                27 October 2023
                27 October 2023
                2023
                : 13
                : 18465
                Affiliations
                [1 ]Facultad de Ciencias Biológicas, Universidad Nacional Mayor de San Marcos, ( https://ror.org/006vs7897) Lima, Peru
                [2 ]Departamento de Genética e Evolução, Universidade Federal de São Carlos, ( https://ror.org/00qdc6m37) São Carlos, SP 13565-905 Brazil
                Author information
                http://orcid.org/0000-0001-5916-6126
                Article
                45715
                10.1038/s41598-023-45715-x
                10611785
                37891335
                79ae9445-6769-4f49-834b-20932c34d37c
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 1 March 2023
                : 23 October 2023
                Funding
                Funded by: Vicerrectorado de Investigación y Posgrado-Universidad Nacional Mayor de San Marcos
                Award ID: VRIP B19100931
                Funded by: CONCYTEC-PROCIENCIA
                Award ID: N° 443-2019-FONDECYT
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2023

                Uncategorized
                population genetics,herpetology
                Uncategorized
                population genetics, herpetology

                Comments

                Comment on this article