3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Tip of the iceberg: species diversity of Pholcus spiders (Araneae, Pholcidae) in the Changbai Mountains, Northeast China

      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

          Despite 250 years of taxonomic classification and over 1.2 million species already catalogued, known species diversity is only a small part of true species diversity on Earth, and thus, the known species are only the tip of iceberg. Here, we investigated the genus Pholcus Walckenaer, 1805 of the family Pholcidae C. L. Koch, 1850 in the Changbai Mountains, Northeast China, which provides an excellent case of high species diversity. Previously, only 14 endemic Pholcus spiders, all belonging to the P. phungiformes species group, and two introduced species P. manueli Gertsch, 1937 and P. zichyi Kulczyński, 1901 from the P. crypticolens species group, have been recorded from this area. Our study confirmed 11 new species of the P. phungiformes species group based on morphology and three methods of molecular species delimitation: P. gaizhou Yao & Li, sp. nov., P. guanshui Yao & Li, sp. nov., P. jiguanshan Yao & Li, sp. nov., P. longxigu Yao & Li, sp. nov., P. luoquanbei Yao & Li, sp. nov., P. shenshi Yao & Li, sp. nov., P. tianmenshan Yao & Li, sp. nov., P. wangjiang Yao & Li, sp. nov., P. xingqi Yao & Li, sp. nov., P. yaoshan Yao & Li, sp. nov., and P. yuhuangshan Yao & Li, sp. nov. This study brings the fauna of the P. phungiformes species group from the Changbai Mountains to 25 species, approximately two times more than previously known, which could indicate that species diversity in the area is underestimated for all arthropod fauna.

          Related collections

          Most cited references27

          • Record: found
          • Abstract: found
          • Article: not found

          MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

          Comparative analysis of molecular sequence data is essential for reconstructing the evolutionary histories of species and inferring the nature and extent of selective forces shaping the evolution of genes and species. Here, we announce the release of Molecular Evolutionary Genetics Analysis version 5 (MEGA5), which is a user-friendly software for mining online databases, building sequence alignments and phylogenetic trees, and using methods of evolutionary bioinformatics in basic biology, biomedicine, and evolution. The newest addition in MEGA5 is a collection of maximum likelihood (ML) analyses for inferring evolutionary trees, selecting best-fit substitution models (nucleotide or amino acid), inferring ancestral states and sequences (along with probabilities), and estimating evolutionary rates site-by-site. In computer simulation analyses, ML tree inference algorithms in MEGA5 compared favorably with other software packages in terms of computational efficiency and the accuracy of the estimates of phylogenetic trees, substitution parameters, and rate variation among sites. The MEGA user interface has now been enhanced to be activity driven to make it easier for the use of both beginners and experienced scientists. This version of MEGA is intended for the Windows platform, and it has been configured for effective use on Mac OS X and Linux desktops. It is available free of charge from http://www.megasoftware.net.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            ABGD, Automatic Barcode Gap Discovery for primary species delimitation.

            Within uncharacterized groups, DNA barcodes, short DNA sequences that are present in a wide range of species, can be used to assign organisms into species. We propose an automatic procedure that sorts the sequences into hypothetical species based on the barcode gap, which can be observed whenever the divergence among organisms belonging to the same species is smaller than divergence among organisms from different species. We use a range of prior intraspecific divergence to infer from the data a model-based one-sided confidence limit for intraspecific divergence. The method, called Automatic Barcode Gap Discovery (ABGD), then detects the barcode gap as the first significant gap beyond this limit and uses it to partition the data. Inference of the limit and gap detection are then recursively applied to previously obtained groups to get finer partitions until there is no further partitioning. Using six published data sets of metazoans, we show that ABGD is computationally efficient and performs well for standard prior maximum intraspecific divergences (a few per cent of divergence for the five data sets), except for one data set where less than three sequences per species were sampled. We further explore the theoretical limitations of ABGD through simulation of explicit speciation and population genetics scenarios. Our results emphasize in particular the sensitivity of the method to the presence of recent speciation events, via (unrealistically) high rates of speciation or large numbers of species. In conclusion, ABGD is fast, simple method to split a sequence alignment data set into candidate species that should be complemented with other evidence in an integrative taxonomic approach. © 2011 Blackwell Publishing Ltd.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              A general species delimitation method with applications to phylogenetic placements

              Motivation: Sequence-based methods to delimit species are central to DNA taxonomy, microbial community surveys and DNA metabarcoding studies. Current approaches either rely on simple sequence similarity thresholds (OTU-picking) or on complex and compute-intensive evolutionary models. The OTU-picking methods scale well on large datasets, but the results are highly sensitive to the similarity threshold. Coalescent-based species delimitation approaches often rely on Bayesian statistics and Markov Chain Monte Carlo sampling, and can therefore only be applied to small datasets. Results: We introduce the Poisson tree processes (PTP) model to infer putative species boundaries on a given phylogenetic input tree. We also integrate PTP with our evolutionary placement algorithm (EPA-PTP) to count the number of species in phylogenetic placements. We compare our approaches with popular OTU-picking methods and the General Mixed Yule Coalescent (GMYC) model. For de novo species delimitation, the stand-alone PTP model generally outperforms GYMC as well as OTU-picking methods when evolutionary distances between species are small. PTP neither requires an ultrametric input tree nor a sequence similarity threshold as input. In the open reference species delimitation approach, EPA-PTP yields more accurate results than de novo species delimitation methods. Finally, EPA-PTP scales on large datasets because it relies on the parallel implementations of the EPA and RAxML, thereby allowing to delimit species in high-throughput sequencing data. Availability and implementation: The code is freely available at www.exelixis-lab.org/software.html. Contact: Alexandros.Stamatakis@h-its.org Supplementary information: Supplementary data are available at Bioinformatics online.
                Bookmark

                Author and article information

                Contributors
                Journal
                Zool Res
                Zool Res
                ZR
                Zoological Research
                Science Press (16 Donghuangchenggen Beijie, Beijing 100717, China )
                2095-8137
                18 May 2021
                : 42
                : 3
                : 267-271
                Affiliations
                [1 ] College of Life Science, Shenyang Normal University, Shenyang, Liaoning 110034, China
                [2 ] Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
                [3 ] Liaoning Key Laboratory of Evolution and Biodiversity, Shenyang, Liaoning 110034, China
                [4 ] Liaoning Key Laboratory for Biological Evolution and Agricultural Ecology, Shenyang, Liaoning 110034, China
                Author notes
                Article
                zr-42-3-267
                10.24272/j.issn.2095-8137.2021.037
                8175958
                33797209
                a4563857-a4cd-42a1-abd1-a619083c3bd6
                Editorial Office of Zoological Research, Kunming Institute of Zoology, Chinese Academy of Sciences

                This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 2 February 2021
                : 23 March 2021
                Funding
                This study was supported by the National Natural Science Foundation of China (NSFC-31872193) and the Liaoning Revitalization Talents Program (XLYC1907150). Part of the laboratory work was supported by the Shenyang Youth Science and Technology Project (RC200183)
                Categories
                Letter to the Editor

                taxonomy,morphology,molecular species delimitation,new species,northeast asia

                Comments

                Comment on this article