New or little-known <i>Boreoheptagyia</i> (Diptera, Chironomidae) in China inferred from morphology and DNA barcodes

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Abstract

The male adult of Boreoheptagyia zhengi Lin & Liu, sp. nov. is described and illustrated based on material collected in China. Associated morphological characteristics and reference to its DNA barcode are provided. Boreoheptagyia kurobebrevis (Sasa & Okazawa, 1992) is newly recorded from China based on both a male and female, with additional associated data on the DNA barcode of the male adult. A neighbor-joining tree based on available Boreoheptagyia DNA barcodes and a key to the adults of Boreoheptagyia from China are given.

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Most cited references 27

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MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

Sudhir Kumar, Glen Stecher, Michael KaWah Li … (2018)

The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.

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MUSCLE: multiple sequence alignment with high accuracy and high throughput.

R. C. Edgar (2004)

We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.

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Biological identifications through DNA barcodes.

Paul Hebert, Alina Cywinska, Shelley Ball … (2003)

Although much biological research depends upon species diagnoses, taxonomic expertise is collapsing. We are convinced that the sole prospect for a sustainable identification capability lies in the construction of systems that employ DNA sequences as taxon 'barcodes'. We establish that the mitochondrial gene cytochrome c oxidase I (COI) can serve as the core of a global bioidentification system for animals. First, we demonstrate that COI profiles, derived from the low-density sampling of higher taxonomic categories, ordinarily assign newly analysed taxa to the appropriate phylum or order. Second, we demonstrate that species-level assignments can be obtained by creating comprehensive COI profiles. A model COI profile, based upon the analysis of a single individual from each of 200 closely allied species of lepidopterans, was 100% successful in correctly identifying subsequent specimens. When fully developed, a COI identification system will provide a reliable, cost-effective and accessible solution to the current problem of species identification. Its assembly will also generate important new insights into the diversification of life and the rules of molecular evolution.

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Author and article information

Contributors

Xiao-Long Lin:

ORCID: https://orcid.org/0000-0001-6544-6204

Role: Writing - review and editing

Hai-Jun Yu:

ORCID: https://orcid.org/0000-0002-2460-3805

Role: Data curation

Xin-Hua Wang: Role: Methodology

Wen-Jun Bu: Role: Project administration

Chun-Cai Yan: Role: Formal analysis

Wen-Bin Liu:

ORCID: https://orcid.org/0000-0001-6916-0692

Role: Writing - original draft

Journal

Journal ID (nlm-ta): Zookeys

Journal ID (iso-abbrev): Zookeys

Journal ID (publisher-id): 2

Journal ID (index): urn:lsid:arphahub.com:pub:45048D35-BB1D-5CE8-9668-537E44BD4C7E

Journal ID (aggregator): urn:lsid:zoobank.org:pub:91BD42D4-90F1-4B45-9350-EEF175B1727A

Title: ZooKeys

Publisher: Pensoft Publishers

ISSN (Print): 1313-2989

ISSN (Electronic): 1313-2970

Publication date Collection: 2021

Publication date (Electronic): 28 May 2021

Volume: 1040

Pages: 187-200

Affiliations

[1 ] College of Life Sciences, Nankai University, Tianjin, 300071, China Nankai University Tianjin China

[2 ] Center of Animal husbandry and Fisheries, Bijiang Agriculture and Rural affairs Bureau, Tongren, Guizhou, 554300, China Center of Animal husbandry and Fisheries, Bijiang Agriculture and Rural affairs Bureau Guizhou China

[3 ] Tianjin Key Laboratory of Conservation and Utilization of Animal Diversity, Tianjin Normal University, Tianjin, 300387, China Tianjin Normal University Tianjin China

Author notes

Corresponding author: Wen-Bin Liu ( skylwb@ 123456tjnu.edu.cn )

Academic editor: F.L. da Silva

Author information

Xiao-Long Lin https://orcid.org/0000-0001-6544-6204

Hai-Jun Yu https://orcid.org/0000-0002-2460-3805

Wen-Bin Liu https://orcid.org/0000-0001-6916-0692

Article

Publisher ID: 66527

DOI: 10.3897/zookeys.1040.66527

PMC ID: 8178290

PubMed ID: 34135660

SO-VID: 477d25cc-8e48-473c-9b23-7d0b08200328

License:

This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

History

Date received : 26 March 2021

Date accepted : 07 May 2021

Funding

Financial support from the National Natural Science Foundation of China (31900344, 31801994, 31672264, 31672324), the China Postdoctoral Science Foundation Grant (2018M640227) and the Natural Science Foundation of Tianjin (18JCQNJC14700, 18JCYBJC96100, 20JCQNJC00420) is acknowledged with thanks.

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New or little-known Boreoheptagyia (Diptera, Chironomidae) in China inferred from morphology and DNA barcodes

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Abstract

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Pensoft Biodiversity

Most cited references 27

MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

MUSCLE: multiple sequence alignment with high accuracy and high throughput.

Biological identifications through DNA barcodes.

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