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      The role of biogeographical barriers on the historical dynamics of passerine birds with a circum‐Amazonian distribution

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          Abstract

          Common distributional patterns have provided the foundations of our knowledge of Neotropical biogeography. A distinctive pattern is the “circum‐Amazonian distribution”, which surrounds Amazonia across the forested lowlands south and east of the basin, the Andean foothills, the Venezuelan Coastal Range, and the Tepuis. The underlying evolutionary and biogeographical mechanisms responsible for this widespread pattern of avian distribution have yet to be elucidated. Here, we test the effects of biogeographical barriers in four species in the passerine family Thamnophilidae by performing comparative demographic analyses of genome‐scale data. Specifically, we used flanking regions of ultraconserved regions to estimate population historical parameters and genealogical trees and tested demographic models reflecting contrasting biogeographical scenarios explaining the circum‐Amazonian distribution. We found that taxa with circum‐Amazonian distribution have at least two main phylogeographical clusters: (1) Andes, often extending into Central America and the Tepuis; and (2) the remaining of their distribution. These clusters are connected through corridors along the Chaco–Cerrado and southeastern Amazonia, allowing gene flow between Andean and eastern South American populations. Demographic histories are consistent with Pleistocene climatic fluctuations having a strong influence on the diversification history of circum‐Amazonian taxa, Refugia played a crucial role, enabling both phenotypic and genetic differentiation, yet maintaining substantial interconnectedness to keep considerable levels of gene flow during different dry/cool and warm/humid periods. Additionally, steep environmental gradients appear to play a critical role in maintaining both genetic and phenotypic structure.

          Abstract

          This study found similarities at populational, phylogenetic, and evolutionary levels among four taxonomic groups of passerine birds with a circum‐Amazonian distribution. The presence of Refugia result of climatic oscillations during the Pleistocene was the main drive in the diversification of these circum‐Amazonian taxa.

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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              Fast and accurate short read alignment with Burrows–Wheeler transform

              Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
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                Author and article information

                Contributors
                sergio.bolivar@usp.br
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                06 March 2024
                March 2024
                : 14
                : 3 ( doiID: 10.1002/ece3.v14.3 )
                : e10860
                Affiliations
                [ 1 ] Seção de Aves Museu de Zoologia da Universidade de São Paulo São Paulo Brazil
                [ 2 ] Laboratório de Zoologia de Vertebrados, Departamento de Ciências Biológicas, Escola Superior de Agricultura “Luiz de Queiroz” –ESALQ– Universidade de São Paulo Piracicaba Brazil
                [ 3 ] Sección de Ornitología, Colecciones Biológicas, Instituto de Investigación de Recursos Biológicos Alexander von Humboldt Claustro de San Agustín Villa de Leyva, Boyacá Colombia
                [ 4 ] Museum of Comparative Zoology and Department of Organismic and Evolutionary Biology Harvard University Cambridge Massachusetts USA
                Author notes
                [*] [* ] Correspondence

                Sergio D. Bolívar‐Leguizamón, Seção de Aves, Museu de Zoologia da Universidade de São Paulo, 04263‐000, Ipiranga, São Paulo, SP, Brazil.

                Email: sergio.bolivar@ 123456usp.br

                Author information
                https://orcid.org/0000-0003-3573-5907
                https://orcid.org/0000-0002-1955-4885
                Article
                ECE310860 ECE-2023-11-01956.R1
                10.1002/ece3.10860
                10915597
                38450322
                1adb7b58-9397-4c6a-b5df-a045eff2dbc4
                © 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
                : 03 January 2024
                : 06 November 2023
                : 08 January 2024
                Page count
                Figures: 7, Tables: 5, Pages: 24, Words: 17811
                Funding
                Funded by: Conselho Nacional de Desenvolvimento Científico e Tecnológico , doi 10.13039/501100003593;
                Award ID: 457974/2014‐1
                Award ID: 308337/2019‐0
                Funded by: Fundação de Amparo à Pesquisa do Estado de São Paulo , doi 10.13039/501100001807;
                Award ID: 2012/23852‐0
                Award ID: 2015/16092‐7
                Award ID: 2022/16202‐0
                Award ID: 2017/23548‐2
                Award ID: 2020/16065‐8
                Funded by: Frank M. Chapman Memorial Fund from the American Museum of Natural History ‐ AMNH (2016)
                Award ID: 2016
                Funded by: National Science Foundation , doi 10.13039/100000001;
                Award ID: DEB‐1011435
                Funded by: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior , doi 10.13039/501100002322;
                Categories
                Biogeography
                Demography
                Genomics
                Phylogenetics
                Zoology
                Research Article
                Research Articles
                Custom metadata
                2.0
                March 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.9 mode:remove_FC converted:06.03.2024

                Evolutionary Biology
                climatic fluctuations,demographic modeling,environmental gradients,forest refugia hypothesis,thamnophilidae,ultraconserved elements

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