Literature DB >> 34345689

The first mitogenome of Lesser Whitethroat, Sylvia curruca blythi Ticehurst & Whistler, 1933 (Passeriformes: Sylviidae) and its phylogenetic implications for the genus Sylvia.

Chao Yang1,2,3, Rong-Jie Yan2, Qing-Xiong Wang1, Hong Xiao1, Xue-Juan Li3, Li-Liang Lin3, Yan Wang1.   

Abstract

The complete mitogenome of the Lesser Whitethroat, Sylvia curruca blythi Ticehurst & Whistler, 1933 was determined, which belongs to Sylviidae, Passeriformes. The mitogenome had a length of 17,959 bp and consisted of 37 genes including 13 PCGs, 2 ribosomal RNAs (rRNA) genes, and 22 transfer RNAs (tRNA) genes. In addition, two control regions (CRs) were also existed in the mitogenome, with Sylvioidea typcial gene arrangement of cytb-trnT-CR1-trnP-nad6-trnE-CR2-trnF-rrnS. Phylogenetic analysis using 37 mitochondrial genes of 17 related species revealed that S. c. blythi had a closer relationship with S. crassirostris, and the monophyly of Sylvia was also recovered. The mitogenome data of S. c. blythi would provide useful resources for further studying the evolution of Sylvia and the subspecies taxonomic revision of S. curruca intraspecific.
© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Entities:  

Keywords:  Mitogenome; Sylvia; Sylvia curruca blythi; gene arrangement; phylogeny

Year:  2021        PMID: 34345689      PMCID: PMC8284148          DOI: 10.1080/23802359.2021.1948367

Source DB:  PubMed          Journal:  Mitochondrial DNA B Resour        ISSN: 2380-2359            Impact factor:   0.658


The Lesser Whitethroat, Sylvia curruca blythi (Passeriformes: Sylviidae), occurs in scrub and hedgerows (Mason 1976). The species is mainly distributed in Beijing, Hebei, Shaanxi, and other places in China (Zheng 2017). The habitats of the species are artificial/terrestrial, forest, savanna, shrubland, and wetlands (inland), with the altitude of 0−2350 m (Birdlife international). The S. curruca complex continues to provide challenges for ornithologists and taxonomists (Abdilzadeh et al. 2020). In this study, we determined the mitochondrial genome (mitogenome) sequence of S. c. blythi, and analyzed the phylogenetic relationship with other 16 Sylvioidea species. Naturally dead S. c. blythi fledgling from Hongjian Nur of Shaanxi Province, China (39°04′N, 109°53′E), was identified and collected by Q. Wang in 22 May 2013, and the muscle specimen (voucher number BHLY01) was deposited in the animal specimens museum of the Shaanxi Institute of Zoology, Xi’an, Shaanxi Province, China (contacts: Chao Yang, chaoy819@xab.ac.cn). Total genomic DNA was extracted by DNeasy kit, and sequenced using Illumina HiSeq2000 platform by Genesky Biotechnologies Inc. (Shanghai, China), with the 125 bp paired-end strategy. A total of 15,367,382 paired-end raw reads were yielded. A total of 15,365,225 clean reads were obtained by quality and ambiguity trimed with default parameters using CLC Genomics Workbench version 12.0 The clean data were assembled with MITOBim version 1.9 (Hahn et al. 2013). Finally, a total of 15,303 mitochondrial reads were mapped to the reference mitogenome, S. atricapilla (GenBank accession no. NC_010228), gave an average coverage of 126.7X. The mitogenome was annotated using Geneious version 10.1.3 (Kearse et al. 2012) and tRNAscan-SE version 1.21 (Lowe and Eddy 1997). The complete mitogenome of S. c. blythi (GenBank accession no. MG681102) was 17,959 bp in length, including 13 protein-coding genes (PCGs), 2 ribosomal RNAs (rRNAs), 22 transfer RNAs (tRNAs), and plus two control regions (CRs). The gene arrangement of cytb-trnT-CR1-trnP-nad6-trnE-CR2-trnF-rrnS was found in the S. c. blythi mitogenome, which was similar with that of other Sylvioidea species (Mackiewicz et al. 2019). The overall base composition was as follows: 29.3% A, 32.4% C, 14.8% G, and 23.5% T, with A + T content of 52.8%. The GC-skew was −0.3729, which showed a remarkably C skew and was similar to the mitogenomes of other vertebrates (Saccone et al. 1999). For PCGs, the start codons of the PCGs were all with ATG, except for cox1 of GTG. The stop codons for translation termination were as follows: TAA (cox2, atp8, atp6, nad4L, and cytb), TAG (nad6), AGG (nad1 and cox1), AGA (nad5), incomplete stop codon TA (nad2 and nad3), and incomplete stop codon T (cox3 and nad4). For rRNAs, the two genes of S. curruca were 976 bp (rrnS) and 1597 bp (rrnL) in size, located between trnF and trnFV, and between trnV and trnL(UUR), respectively. For tRNAs, the length were varied from 65 bp in trnC to 75 bp in trnL(UUR). Except for trnS1, all tRNA sequences could fold into the typical cloverleaf secondary structure. Particularly, the length of trnS1’s DHU arm was 0 bp. For CRs, the CR1 (1106 bp) and CR2 (1279 bp) were located between trnT and trnP and between trnE and trnF, respectively. No repeat units were found in CR1, which with 80.8% sequence similarity to CR2. No repeat units were also found in CR2 except for a single base guanine (G) with 30 times tandem repeats during the position 85–114 in 1279 bp (software: tandem repeats finder (TRF) version 4.09; Benson 1999). The phylogenetic tree was constructed using the newly sequenced mitogenome (S. c. blythi) and 16 other available Sylvioidea species, with Phylloscopus borealoides (GenBank accession no. MN125373) as a outgroup. The phylogeny employed a dataset containing 37 mitochondrial genes, and were implemented using the maximum-likelihood (ML) method in IQ-TREE version 1.6.12 (Nguyen et al. 2015), with 1000 bootstrap replicates. The topological structure showed that the monophyly of Sylvia was recovered, with phylogeny of ((S. borin, S. atricapilla), (S. crassirostris, S. c. blythi)) (Figure 1). We also confirmed that Sylvia was clustered at the basal position of Suthora/Sinosuthora clade (Figure 1), which was consistent with that of previous studies (Mackiewicz et al. 2019). This mitogenome would provide important materials for further exploring taxonomic status of Sylvia species. Owning to the lack of samples, the morphological variation and taxonomic revision of S. curruca subspecies should be further investigated (Olsson et al. 2013; Votier et al. 2016).
Figure 1.

Maximum likelihood tree obtained using IQ-TREE version 1.6.12 with 1000 nonparametric bootstrap replicates. GenBank accession numbers are indicated following species names. Numbers on nodes are bootstrap values.

Maximum likelihood tree obtained using IQ-TREE version 1.6.12 with 1000 nonparametric bootstrap replicates. GenBank accession numbers are indicated following species names. Numbers on nodes are bootstrap values.
  8 in total

Review 1.  Evolutionary genomics in Metazoa: the mitochondrial DNA as a model system.

Authors:  C Saccone; C De Giorgi; C Gissi; G Pesole; A Reyes
Journal:  Gene       Date:  1999-09-30       Impact factor: 3.688

2.  Tandem repeats finder: a program to analyze DNA sequences.

Authors:  G Benson
Journal:  Nucleic Acids Res       Date:  1999-01-15       Impact factor: 16.971

3.  tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence.

Authors:  T M Lowe; S R Eddy
Journal:  Nucleic Acids Res       Date:  1997-03-01       Impact factor: 16.971

4.  New insights into the intricate taxonomy and phylogeny of the Sylvia curruca complex.

Authors:  Urban Olsson; Paul J Leader; Geoff J Carey; Aleem Ahmed Khan; Lars Svensson; Per Alström
Journal:  Mol Phylogenet Evol       Date:  2013-01-12       Impact factor: 4.286

5.  Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data.

Authors:  Matthew Kearse; Richard Moir; Amy Wilson; Steven Stones-Havas; Matthew Cheung; Shane Sturrock; Simon Buxton; Alex Cooper; Sidney Markowitz; Chris Duran; Tobias Thierer; Bruce Ashton; Peter Meintjes; Alexei Drummond
Journal:  Bioinformatics       Date:  2012-04-27       Impact factor: 6.937

6.  IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies.

Authors:  Lam-Tung Nguyen; Heiko A Schmidt; Arndt von Haeseler; Bui Quang Minh
Journal:  Mol Biol Evol       Date:  2014-11-03       Impact factor: 16.240

7.  Reconstructing mitochondrial genomes directly from genomic next-generation sequencing reads--a baiting and iterative mapping approach.

Authors:  Christoph Hahn; Lutz Bachmann; Bastien Chevreux
Journal:  Nucleic Acids Res       Date:  2013-05-09       Impact factor: 16.971

8.  Resolving Phylogenetic Relationships within Passeriformes Based on Mitochondrial Genes and Inferring the Evolution of Their Mitogenomes in Terms of Duplications.

Authors:  Paweł Mackiewicz; Adam Dawid Urantówka; Aleksandra Kroczak; Dorota Mackiewicz
Journal:  Genome Biol Evol       Date:  2019-10-01       Impact factor: 3.416

  8 in total

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