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      Geographic patterns of genomic diversity and structure in the C 4 grass Panicum hallii across its natural distribution

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          Abstract

          Geographic patterns of within-species genomic diversity are shaped by evolutionary processes, life history and historical and contemporary factors. New genomic approaches can be used to infer the influence of such factors on the current distribution of infraspecific lineages. In this study, we evaluated the genomic and morphological diversity as well as the genetic structure of the C 4 grass Panicum hallii across its complex natural distribution in North America. We sampled extensively across the natural range of P. hallii in Mexico and the USA to generate double-digestion restriction-associated DNA (ddRAD) sequence data for 423 individuals from 118 localities. We used these individuals to study the divergence between the two varieties of P. hallii, P. hallii var. filipes and P. hallii var. hallii as well as the genetic diversity and structure within these groups. We also examined the possibility of admixture in the geographically sympatric zone shared by both varieties, and assessed distribution shifts related with past climatic fluctuations. There is strong genetic and morphological divergence between the varieties and consistent genetic structure defining seven genetic clusters that follow major ecoregions across the range. South Texas constitutes a hotspot of genetic diversity with the co-occurrence of all genetic clusters and admixture between the two varieties. It is likely a recolonization and convergence point of populations that previously diverged in isolation during fragmentation events following glaciation periods.

          Abstract

          Geographic patterns of diversity are shaped by historical and contemporary factors that drive evolutionary processes. Genomic approaches can be used to infer the influence of such factors on the current distribution of genetic variation. We studied diversity of the C 4 grass Panicum hallii across its native range in North America. We observed strong genetic and morphological divergence across seven genetic clusters that follow major ecoregions. South Texas is a hotspot of genetic diversity with the co-occurrence of all genetic clusters and admixture between two described varieties. South Texas is likely a recolonization and convergence point of formerly diverged populations.

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          Most cited references76

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          IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

          Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found. Thus, there is need for additional approaches that employ different search strategies to find ML trees and that are at the same time as fast as currently available ML programs. We show that a combination of hill-climbing approaches and a stochastic perturbation method can be time-efficiently implemented. If we allow the same CPU time as RAxML and PhyML, then our software IQ-TREE found higher likelihoods between 62.2% and 87.1% of the studied alignments, thus efficiently exploring the tree-space. If we use the IQ-TREE stopping rule, RAxML and PhyML are faster in 75.7% and 47.1% of the DNA alignments and 42.2% and 100% of the protein alignments, respectively. However, the range of obtaining higher likelihoods with IQ-TREE improves to 73.3-97.1%.
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            Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data

            Summary: The two main functions of bioinformatics are the organization and analysis of biological data using computational resources. Geneious Basic has been designed to be an easy-to-use and flexible desktop software application framework for the organization and analysis of biological data, with a focus on molecular sequences and related data types. It integrates numerous industry-standard discovery analysis tools, with interactive visualizations to generate publication-ready images. One key contribution to researchers in the life sciences is the Geneious public application programming interface (API) that affords the ability to leverage the existing framework of the Geneious Basic software platform for virtually unlimited extension and customization. The result is an increase in the speed and quality of development of computation tools for the life sciences, due to the functionality and graphical user interface available to the developer through the public API. Geneious Basic represents an ideal platform for the bioinformatics community to leverage existing components and to integrate their own specific requirements for the discovery, analysis and visualization of biological data. Availability and implementation: Binaries and public API freely available for download at http://www.geneious.com/basic, implemented in Java and supported on Linux, Apple OSX and MS Windows. The software is also available from the Bio-Linux package repository at http://nebc.nerc.ac.uk/news/geneiousonbl. Contact: peter@biomatters.com
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              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
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                Author and article information

                Contributors
                Role: Associate Editor
                Journal
                AoB Plants
                AoB Plants
                aobpla
                AoB Plants
                Oxford University Press (US )
                2041-2851
                April 2021
                06 January 2021
                06 January 2021
                : 13
                : 2
                : plab002
                Affiliations
                [1 ] Department of Integrative Biology, The University of Texas at Austin , Austin, TX, USA
                [2 ] Genome Sequencing Center, HudsonAlpha Institute for Biotechnology , Huntsville, AL, USA
                [3 ] Ecology & Ecosystem Management, Plant Biodiversity Research, Technical University of Munich , Freising, Germany
                [4 ] Professorship for Population Genetics, Department of Life Science Systems, School of Life Sciences, Technical University of Munich , Freising, Germany
                [5 ] Civil and Environmental Engineering, Massachusetts Institute of Technology , Cambridge, MA, USA
                [6 ] Department of Plant Biology, Michigan State University , East Lansing, MI, USA
                Author notes
                Corresponding author’s e-mail address: jdpalacio@ 123456utexas.edu ; Present address: Corporación Colombiana de Investigación Agropecuaria – AGROSAVIA, Centro de Investigación Tibaitatá, Mosquera, Cundinamarca 250047, Colombia
                Author information
                https://orcid.org/0000-0002-7958-1586
                Article
                plab002
                10.1093/aobpla/plab002
                7937184
                33708370
                0439127f-1b3e-4bd1-9d8e-79423cc47480
                © The Author(s) 2021. Published by Oxford University Press on behalf of the Annals of Botany Company.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 05 January 2021
                : 02 March 2021
                Page count
                Pages: 19
                Funding
                Funded by: National Science Foundation, DOI 10.13039/100000001;
                Award ID: IOS-0922457
                Award ID: IOS-1444533
                Funded by: U.S. Department of Energy, DOI 10.13039/100000015;
                Award ID: SC-0008451
                Funded by: Linda Escobar Award;
                Funded by: Ecolab, DOI 10.13039/100005123;
                Categories
                Special Issue: The Ecology and Genetics of Population Differentiation in Plants
                Studies
                AcademicSubjects/SCI01210
                Aobpla/1011

                Plant science & Botany
                ddrad-seq,ecological genomics,evolution,genetic admixture,habitat suitability modelling,panicum,phylogeographic structure

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