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      Expansion and contraction of lake basin shape the genetic structure of Sinocyclocheilus (Osteichthyes: Cypriniformes: Cyprinidae) populations in Central Yunnan, China

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          Abstract

          Geological events can strongly affect the genetic structures and differentiation of fish populations. Especially, as an endemic fish of the genus Sinocyclocheilus in the Yunnan‐Guizhou Plateau, the effects of key geological events on the distributions and genetic structures remain poorly understood. Examining the phylogeographic patterns of Sinocyclocheilus fishes can be useful for elucidating the spatio‐temporal dynamics of their population size, dispersal history and extent of geographical isolation, thereby providing a theoretical basis for their protection. Here, we used single nucleotide polymorphisms (SNP) method to investigate the phylogeographic patterns of Sinocyclocheilus fishes. Our analysis supports the endemicity of Sinocyclocheilus, but the samples of different regions of Sinocyclocheilus contain multiple ancestral components, which displayed more admixed and diversified genetic components, this may be due to the polymorphism of the ancestors themselves, or gene infiltration caused by hybridization between adjacent species of Sinocyclocheilus. We estimate that the most recent common ancestor (MRCA) of Sinocyclocheilus fish in the Central Yunnan Basin at approximately 3.75~3.11 Ma, and infer that the evolution of Sinocyclocheilus in the central Yunnan Basin is closely related to the formation of plateau lakes (around 4.0~0.02 Ma), and identifies the formation of Dianchi Lake and Fuxian Lake as key geological events shaping Sinocyclocheilus population structure. It is also the first time to prove that the altitude change has a great influence on the genetic variation among the populations of Sinocyclocheilus.

          Abstract

          Expansion and contraction of lake basin shape the genetic structure of Sinocyclocheilus (Osteichthyes: Cypriniformes: Cyprinidae) populations in central Yunnan, China; 2. The geographical isolation and the unique ecological preferences of Sinocyclocheilus fishes were key factors driving population differentiation

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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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              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
                wangxiaoai@mail.kiz.ac.cn
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                18 January 2024
                January 2024
                : 14
                : 1 ( doiID: 10.1002/ece3.v14.1 )
                : e10840
                Affiliations
                [ 1 ] State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology The Innovative Academy of Seed Design, Chinese Academy of Sciences Kunming China
                [ 2 ] Yunnan Key Laboratory of Plateau Fish Breeding Yunnan Engineering Research Center for Plateau‐Lake Health and Restoration, Kunming Institute of Zoology, Chinese Academy of Sciences Kunming China
                [ 3 ] University of Chinese Academy of Sciences Beijing China
                [ 4 ] Key Laboratory for Conserving Wildlife with Small Populations in Yunnan, Faculty of Biodiversity Conservation Southwest Forestry University Kunming China
                Author notes
                [*] [* ] Correspondence

                Xiao‐Ai Wang, State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, No. 17 Longxin Road, Kunming 650201, Yunnan, China.

                Email: wangxiaoai@ 123456mail.kiz.ac.cn

                Author information
                https://orcid.org/0009-0008-7613-3869
                Article
                ECE310840 ECE-2023-07-01272.R1
                10.1002/ece3.10840
                10797211
                a1b9a44e-dac0-4af4-9748-5a2a79f99c57
                © 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
                : 10 October 2023
                : 27 July 2023
                : 22 December 2023
                Page count
                Figures: 6, Tables: 1, Pages: 11, Words: 6100
                Funding
                Funded by: Special Project for Basic Research in Yunnan Province
                Award ID: 202201AT070046
                Award ID: 202301AT070305
                Funded by: Light of West China#x201D; Program to Y.W.Z. and X.A.W., and Sino BON#x2010;Inland Water Fish Diversity Observation Network
                Funded by: Program of Yunnan Provincial Science and Technology Department Foundation
                Award ID: 202003AD150017
                Award ID: 202102AE090049
                Award ID: 202303AC100011
                Funded by: National Natural Science Foundation of China , doi 10.13039/501100001809;
                Award ID: 31501846
                Award ID: U1902202
                Categories
                Phylogenetics
                Zoology
                Research Article
                Research Articles
                Custom metadata
                2.0
                January 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.6 mode:remove_FC converted:19.01.2024

                Evolutionary Biology
                divergence time,genetic structure,geological events,rad‐seq
                Evolutionary Biology
                divergence time, genetic structure, geological events, rad‐seq

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