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      Population genomics and distribution modeling revealed the history and suggested a possible future of the endemic Agave aurea (Asparagaceae) complex in the Baja California Peninsula

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          Abstract

          Agaves are an outstanding arid‐adapted group of species that provide a unique chance to study the influence of multiple potential factors (i.e., geological and ecological) on plant population structure and diversification in the heterogeneous environment of the Baja California Peninsula. However, relatively little is known about the phylogeography of the endemic agave species of this region. Herein, we used over 10,000 single‐nucleotide polymorphisms (SNPs) and spatial data from the Agave aurea species complex (i.e., A. aurea ssp. aurea, A. aurea ssp. promontorii, and A. aurea var. capensis) to resolve genetic relationships within this complex and uncover fine‐scale population structure, diversity patterns, and their potential underlying drivers. Analyses resolved low genetic structure within this complex, suggesting that A. aurea is more likely to represent several closely related populations than separate species or varieties/subspecies. We found that geographical and historical ecological characteristics—including precipitation, latitude, and past climatic fluctuations—have played an important role in the spatial distribution of diversity and structure in A. aurea. Finally, species distribution modeling results suggested that climate change will become critical in the extinction risk of A. aurea, with the northernmost population being particularly vulnerable. The low population genetic structure found in A. aurea is consistent with agave's life history, and it is probably related to continuity of distribution, relatively low habitat fragmentation, and dispersion by pollinators. Together, these findings have important implications for management and conservation programs in agave, such as creating and evaluating protected areas and translocating and augmentation of particular populations.

          Abstract

          Little is known about the phylogeography of the endemic agave species of the Baja California Peninsula. Using over 10,000 single‐nucleotide polymorphisms (SNPs) and spatial data from the Agave aurea species complex (i.e., A. aurea ssp. aurea, A. aurea ssp. promontorii, and A. aurea var. capensis), we determined genetic relationships within this complex and uncovered fine‐scale population structure, diversity patterns, and their potential underlying drivers. Analyses resolved low genetic structure within this complex, consistent with agave's life history, suggesting that A. aurea is more likely to represent several closely related populations than separate species or varieties/subspecies. Geography and historical ecological events have played an important role in the spatial distribution of diversity and structure in A. aurea.

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          Most cited references141

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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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            Random Forests

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              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.
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                Author and article information

                Contributors
                anastasia_aleksandrovna@hotmail.com
                fruns@unam.mx
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                24 July 2024
                July 2024
                : 14
                : 7 ( doiID: 10.1002/ece3.v14.7 )
                : e70027
                Affiliations
                [ 1 ] Centro de Investigaciones Biológicas del Noroeste S.C. La Paz Mexico
                [ 2 ] Departamento de Ecología Evolutiva Instituto de Ecología, Universidad Nacional Autónoma de México Ciudad de México Mexico
                Author notes
                [*] [* ] Correspondence

                Anastasia Klimova, Centro de Investigaciones Biológicas del Noroeste S.C., La Paz, Mexico.

                Email: anastasia_aleksandrovna@ 123456hotmail.com

                Luis E. Eguiarte, Departamento de Ecología Evolutiva, Instituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México, Mexico.

                Email: fruns@ 123456unam.mx

                Author information
                https://orcid.org/0000-0002-1502-2910
                Article
                ECE370027 ECE-2024-01-00181.R2
                10.1002/ece3.70027
                11267983
                39050658
                cf89a3e9-dc57-4b6c-86f6-4c0569a9ad63
                © 2024 The Author(s). 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
                : 14 June 2024
                : 30 January 2024
                : 07 July 2024
                Page count
                Figures: 9, Tables: 0, Pages: 19, Words: 14000
                Funding
                Funded by: Instituto de Ecología, Universidad Nacional Autónoma de México , doi 10.13039/501100011109;
                Award ID: PAPIIT IG200122
                Categories
                Population Genetics
                Research Article
                Research Article
                Custom metadata
                2.0
                July 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.4.5 mode:remove_FC converted:24.07.2024

                Evolutionary Biology
                agavoideae,baja california peninsula,climate change,genomic diversity,pollinators,sonoran desert

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