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

      Genomic diversity and structure of a Neotropical microendemic fig tree

      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

          Genetic diversity is a key component of evolution, and unraveling factors that promote genetic differentiation in space and time is a central question in evolutionary biology. One of the most diverse and ecologically important tree genera in tropical forests worldwide is Ficus (Moraceae). It has been suggested that, given the great dispersal capacity of pollinating fig wasps (Chalcidoidea; Agaonidae), the spatial genetic structure, particularly in monoecious fig species, should be weak. However, no studies have addressed the factors that determine the genetic structure of Ficus species in regions of high geological, geographic, and climatic complexity, such as the Mexican Transition Zone. Using nuclear single nucleotide polymorphisms (5311 SNPs) derived from low‐coverage whole genomes and 17 populations, we analyzed the population genomics of Ficus pringlei to characterize neutral and adaptive genetic variation and structure and its association with geographic barriers such as the Trans‐Mexican Volcanic Belt, environmental heterogeneity, and wind connectivity. From genomic data of 71 individuals, high genetic diversity, and the identification of three genomic lineages were recorded (North, South, and Churumuco). The results suggest that genetic variation is primarily determined by climatic heterogeneity. Ficus pringlei populations from the north and south of the Trans‐Mexican Volcanic Belt also exhibited minimal genetic differentiation ( F ST = 0.021), indicating that this mountain range may not act as an insurmountable barrier to gene flow. Wind connectivity is also highlighted in structuring putative adaptive genetic variation, underscoring the intricate complexity of the various factors influencing genetic variation in the species. This study provides information on the possible mechanisms underlying the genetic variation of endemic species of the tropical dry forest of Western Mexico, such as F. pringlei.

          Abstract

          The population genomics of Ficus pringlei (Moraceae) is analyzed to characterize neutral and adaptive genetic variation and structure and its association with geographic barriers and environmental heterogeneity. This study provides information on the diversity and the mechanisms underlying the genomic variation of F. pringlei. Although a weak or negligible genetic structure is often assumed for the Ficus species, in F. pringlei we detected three distinct genomic lineages, suggesting limited gene flow influenced mainly by climatic conditions.

          Related collections

          Most cited references94

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

          The variant call format and VCFtools

          Summary: The variant call format (VCF) is a generic format for storing DNA polymorphism data such as SNPs, insertions, deletions and structural variants, together with rich annotations. VCF is usually stored in a compressed manner and can be indexed for fast data retrieval of variants from a range of positions on the reference genome. The format was developed for the 1000 Genomes Project, and has also been adopted by other projects such as UK10K, dbSNP and the NHLBI Exome Project. VCFtools is a software suite that implements various utilities for processing VCF files, including validation, merging, comparing and also provides a general Perl API. Availability: http://vcftools.sourceforge.net Contact: rd@sanger.ac.uk
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Twelve years of SAMtools and BCFtools

            Abstract Background SAMtools and BCFtools are widely used programs for processing and analysing high-throughput sequencing data. They include tools for file format conversion and manipulation, sorting, querying, statistics, variant calling, and effect analysis amongst other methods. Findings The first version appeared online 12 years ago and has been maintained and further developed ever since, with many new features and improvements added over the years. The SAMtools and BCFtools packages represent a unique collection of tools that have been used in numerous other software projects and countless genomic pipelines. Conclusion Both SAMtools and BCFtools are freely available on GitHub under the permissive MIT licence, free for both non-commercial and commercial use. Both packages have been installed >1 million times via Bioconda. The source code and documentation are available from https://www.htslib.org.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              From FastQ data to high confidence variant calls: the Genome Analysis Toolkit best practices pipeline.

              This unit describes how to use BWA and the Genome Analysis Toolkit (GATK) to map genome sequencing data to a reference and produce high-quality variant calls that can be used in downstream analyses. The complete workflow includes the core NGS data processing steps that are necessary to make the raw data suitable for analysis by the GATK, as well as the key methods involved in variant discovery using the GATK.
                Bookmark

                Author and article information

                Contributors
                gibarra@iies.unam.mx
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                18 March 2024
                March 2024
                : 14
                : 3 ( doiID: 10.1002/ece3.v14.3 )
                : e11178
                Affiliations
                [ 1 ] Instituto de Investigaciones en Ecosistemas y Sustentabilidad Universidad Nacional Autónoma de México Morelia Michoacán Mexico
                [ 2 ] Posgrado en Ciencias Biológicas Universidad Nacional Autónoma de México, Ciudad Universitaria Ciudad de México Mexico
                [ 3 ] Departamento de Ecología Evolutiva Instituto de Ecología, Universidad Nacional Autónoma de México, Circuito exterior s/n anexo al Jardín Botánico, Ciudad Universitaria Ciudad de México Mexico
                Author notes
                [*] [* ] Correspondence

                Guillermo Ibarra‐Manríquez, Instituto de Investigaciones en Ecosistemas y Sustentabilidad, Universidad Nacional Autónoma de México, Antigua Carretera a Pátzcuaro 8701, 58190 Morelia, Michoacán, Mexico.

                Email: gibarra@ 123456iies.unam.mx

                Author information
                https://orcid.org/0000-0002-2804-1838
                https://orcid.org/0000-0002-3776-1351
                https://orcid.org/0000-0002-6196-7288
                https://orcid.org/0000-0002-3739-8660
                Article
                ECE311178 ECE-2023-07-01188.R2
                10.1002/ece3.11178
                10948372
                38505177
                e8e7e02b-1e74-47a7-a8d1-693460af875c
                © 2024 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 06 March 2024
                : 13 July 2023
                : 08 March 2024
                Page count
                Figures: 9, Tables: 2, Pages: 15, Words: 10350
                Funding
                Funded by: Dirección General del Personal Académico (DGAPA)‐Programa de apoyo de investigación e Innovación Tecnológica , doi 10.13039/501100006087;
                Award ID: PAPIIT IN211620
                Categories
                Genetics
                Population Genetics
                Research Article
                Research Articles
                Custom metadata
                2.0
                March 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.9 mode:remove_FC converted:18.03.2024

                Evolutionary Biology
                ficus,gene flow,mexican transition zone,population structure,tropical dry forest

                Comments

                Comment on this article