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Complete Mitochondrial Genome of Turdus merula (Aves: Passeriformes: Turdidae) and Related Species: Genome Characteristics and Phylogenetic Relationships

PJZ_56_3_1201-1217

Complete Mitochondrial Genome of Turdus merula (Aves: Passeriformes: Turdidae) and Related Species: Genome Characteristics and Phylogenetic Relationships

Zhenkun Zhao1,2, Ziniu Alimo2, Xinyue Zhao2, Haifen Qin1, Buddhi Dayananda3, Lichun Jiang1,2* and Wei Chen4*

1Ecological Security and Protection Key Laboratory of Sichuan Province, Mianyang Normal University, Mianyang, Sichuan 621000, P.R. China

2Key Laboratory for Molecular Biology and Biopharmaceutics, School of Life Science and Technology, Mianyang Normal University, Mianyang, Sichuan 621000, P.R. China.

3School of Agriculture and Food Sciences, The University of Queensland, Brisbane QLD 4072, Australia.

4School of Resources and Environmental Engineering, Anhui University, Hefei 230601, P.R. China

ABSTRACT

Mitochondrial genome is a very useful marker for determining the phylogenetic relationships. Hence in this study, the complete mitochondrial genome of Turdus merula was sequenced, described, and analyzed with Sanger sequencing technology. The complete mitochondrial genome of T. merula was 16,734 bp in length and encoded 37 genes, including 13 protein-coding genes, 22 tRNAs, 2 rRNA gene fragments, a control region (D-loop region) and gene arrangement was identical to that of other Passeriformes mitogenomes. The overall base composition included A, 29.34%; C, 32.50%; G, 14.82% and T, 23.34%. The motifs obtained by sequence comparison, “ATGAACCTAA” between ATP8 and ATP6, and “ATGCTAA” between ND4L and ND4, and “CAAGAAAGG” between COXI and tRNASer(UCN) were highly conservative in Passeriformes species. The monophyly of Passeriformes is divided into four major clades: Musicicapoidea, Sylvioidea, Passeroidea, and Corvoidea. The phylogeny analyses of Passerida was conducted with the clear support of dividing the group into three superfamilies: the Muscicapoidea, the Sylvioidea, and the Passeroidea, and Passeroidea is a sister taxon for Muscicapoidea and Sylvioidea, which are closely related to each other. We suggest that the genus Paradoxornis will be classified as family Sylviidae, while these two species (Luscinia cyanura and Monticola gularis) are placed in the family Muscicapidae. Moreover, Turdidae formed a sister group with Muscicapidae, which indicates that they are closely related and form the superfamily Muscicapoidea together with the Sturnidae families. The relationships between some species of the order Passeriformes may remain difficult to resolve despite an effort to collect additional characters for phylogenetic analysis. Current research of avian phylogeny should focus on adding molecular markers and taxa samples and use both effectively to reconstruct a better resolution for disputed species.


Article Information

Received 15 May 2022

Revised 18 June 2022

Accepted 09 July 2022

Available online 13 February 2023

(early access)

Published 04 April 2024

Authors’ Contribution

LJ, and WC conceived and planned the experiments. ZZ, XZ, HQ, LM, and QG performed the experiments, analyzed and interpreted the data. ZY, JL and HM analyzed the sequence data. LJ, BD, and WC wrote the manuscript with input from all authors. All authors read and approved the manuscript.

Key words

Turdus merula, Muscicapoidea, Passeriformes, Mitochondrial genome, Phylogenetics

DOI: https://dx.doi.org/10.17582/journal.pjz/20220515050535

* Corresponding author: [email protected], [email protected]

0030-9923/2024/0003-1201 $ 9.00/0

Copyright 2024 by the authors. Licensee Zoological Society of Pakistan.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).



INTRODUCTION

The fast evolutionary rate, relatively conserved gene content and organization, maternal inheritance, and limited recombination make mitochondrial genomes an useful neutral molecular marker for studies related to species identification, verification taxonomic levels, and identification phylogenetic relationships (Boore and Brown, 1998; Anmarkrud and Lifjeld, 2017; Ingman et al., 2000; Wolstenholme, 1992; Bernt et al., 2013). The new sequencing and PCR technologies have made the utilization of the mitochondrial genome easier and more frequent in recent decades (Powell et al., 2013; Alam et al., 2014; Mu et al., 2015). Since the identification first complete mitochondrial genome of birds (Desjardins and Morais, 1992), nearly 2000 mtDNA sequence of birds have been submitted to NCBI (http://www.ncbi.nlm.nih.gov/). The vertebrate mtDNA is a compact double-stranded closed circular molecule that contains 2 ribosomal RNAs (rRNA), 13 protein-coding genes (PCGs), 22 transfer RNAs (tRNA), and a non-coding control region (CR) (Simon and Frati, 1994). Some of these genes such as Cytb, COXI, and COXII have frequently been used for population genetic studies (Alam et al., 2014; Velez-Zuazo and Agnarsson, 2011).

Nevertheless, genetic information may lack sufficient resolution and may not be always rightly based on these short mitochondrial regions (Alam et al., 2014; Velez-Zuazo and Agnarsson, 2011). Compared with single or partial mitochondrial gene fragments, such as COX I and Cytb, mitochondrial genome sequence can provide more information and faster substitution rate and more insight and better resolution from higher-level groups to closely related species (Powell et al., 2013; Mu et al., 2015).

The monophyly of the order Passeriformes is strongly supported by the morphological characteristics and molecular data (Raikow, 1986; Edwards, 1991; Sibley and Ahlquist, 1992; Zhang et al., 2018). This order is divided into two major clades, the suboscines and oscines. The oscines can be further split into two suborders: Corvida and Passerida. Corvida is further divided into three superfamilies: Menuroidea, Meliphagoidea and Corvoidea. Passerida can be also divided into three superfamilies: Muscicapoidea, Sylvioidea, and Passeroidea (Sibley and Ahlquist, 1992; Zhang et al., 2018). However, the taxonomic status of passerines is rather confusing, since most of the evolutionary groups underwent very rapid radiation during the Paleogene (Feduccia, 1995). In addition, in some studies, the monophyly of Sylvioidea has not been supported (Sheldon and Gill, 1996; Barker et al., 2002; Alström et al., 2006), thus owing to the monophyletic taxonomic relationship of Passeridae and Sylviidae, Paridae should be removed from Sylvioidea. However, Alström et al. (2006) thought that the Alaudidae originally belonged to Passeroidea and should therefore be included in the Sylvioidea. These controversies are at a deep level of the taxonomic status between Muscicapoidea, Sylvioidea, Passeroidea, and Paridae (Barker et al., 2004; Johansson et al., 2008; Nabholz et al., 2010; Zhang et al., 2018).

Turdus merula, the national bird by Sweden, is a passerine bird of the family Turdidae (Passeriformes), a large family which is composed of 341 species in 24 genera (Dickinson, 2003; Sangster et al., 2010). They are widespread in temperate Eurasia, North Africa, the Canary Islands, and South Asia, and have been introduced to Australia and New Zealand (Long, 1981). The T. merula may be a resident, partially migratory, or fully migratory depending on latitude (Zheng, 2018). In China, the T. merula is a resident bird extending from the Yangtze River to the Tianshan Mountains (in Nanchong, Sichuan, and Zipeng mountain in Hefei province). However, in Hainan province, they are winter migratory birds (Luo et al., 2008; Ni, 2014; Zhou et al., 2001). In recent years, although T. merula population is increasing, due to their natural habitat loss and urbanization part of the T. merula has colonized from original forest to urban (Wang and Yin, 2016).Thus the T. merula was listed as less concern species by IUCN in 2021 (http://www.iucnredlist.org/search). To strengthen the protection of T. merula and marginal species of it, many scholers have studied the classification of T. merula and Turdidae, and some achievements have been made. Because of its easy amplification, lack of insertion and deletion, and sufficient variation, the COX1 gene in mtDNA plays an important role in bird identification and phylogeny (Seutin and Bermingham, 1997). Thus, Xu et al. (2010) studied 14 birds of the subfamily Turdidae and explored their phylogenetic relationships with COX1 genes in the year 2010, and the results showed that the family of Turdidae can be divided into 2 large branches, including Turdus, Zoothera; Phoeicurus, Tarsiger, Enicurus, and Myiophonus (Xu et al., 2010). Some phylogenetic relationships strongly suggest that Muscicapidae is not monophyletic or paraphyletic with mitochondrial genes (Zhang et al., 2018) and multilocus study (Sangster et al., 2010; Payevsky, 2014). Furthermore, the relationships between the family Turdidae species are suspected as a monophyletic group (Payevsky, 2014; Zhang et al., 2018). In addition, there is a parallel relationship between generic level in Turdidae or Muscicapidae (Sangster et al., 2010; Zhang et al., 2018).

In this study, we extracted, measured, and analyzed the characterization of the complete mitochondrial genome sequence of T. merula. Moreover we analyzed and compared its complete mitochondrial genome DNA sequence with 78 mitochondrial genome sequences of other Passeriformes to provide insight into their genome evolution as well as the phylogeny. We reconstructed the phylogenetic tree within this order based on 13 PCGs of the selected birds to understand the sequence characteristics and evolutionary status and to infer their higher phylogeny.

MATERIALS AND METHODS

Sample and DNA extraction

A single specimen of T. merula was obtained from Zitong County, Mianyang City, Sichuan Province in China (105°4’14.04”, 31°49’49.95”, 555m above sea level). Tissue samples (2 mL) were obtained and preserved with heparin anticoagulant tube prior to the analysis. The complete mitogenome was extracted and purified from the preserved muscle tissue by the Proteinase K/SDS digest extraction method followed by phenol–chloroform isolation and ethanol precipitation (Sambrock and Russel, 2001). After the quality of the obtained genomic DNA was checked by using 0.9 % agarose gel, it was stored at -20°C until needed for PCR.

Primer design, PCR amplification and sequencing

The twelve overlapping fragments that we amplified with normal PCR and LA-PCR covered the entire mtgenome of T. merula, and each of them overlapped more than 120-230 bp. Complete mtDNA was amplified as concatenated sequences using selectively amplified mtDNA template and seven primer pairs derived from the literature (Zhao et al., 2012; Jiang et al., 2014). The remaining PCR primers were designed based on the alignments of the relatively conserved nucleotide sequences in 6 homologous Turdidae species in GenBank and designed by using Primer (Premier 5.0 software). Twelve pairs of primers (Table I) used for PCR amplification were used in the reaction volume of 25 μl which contained 2.5μl 10×loading buffer, 2.0μl of MgCl2 (2.5mol/L), 1.5μl dNTP mix (2.5mM/L each), 1.0 µL of each primer (10 μmol/L), 1.0 μl DNA template (20 ng/µL), 0.6μl (5U/µL) of LA Taq polymerase and sterilized distilled water. The thermal cycle comprised an initial denaturation at 94 °C for 2.5 min, 33 cycles each of denaturation at 94 °C for 45s, annealing at 50-61 °C for 40 s, extension at 72 °C for 80-180 s, and a final extension at 72 °C for 9 min. The products of PCR were separated by 1.0 % TAE agarose gel electrophoresis and recovered using a Gel Extract Purification System (Omega bio-tek, U.S.A) and sequenced by using an ABI 3730 sequencer, either directly or following sub-cloning into the pUC19 DNA vector (TaKaRa, Japan).

Sequence analysis

The sequence assembly and annotation were performed using DNA Baser Assembler and manual screening (http://www.DNABaser.com). The primary DNA sequence data were homologous alignment using BLAST searches at NCBI (https://blast.ncbi.nlm.nih.gov/Blast.cgi). Protein-coding genes (PCGs) and rRNA genes were identified by multiple sequence alignments with previouslysubmitted sequences of three Turdus species as well as by secondary structure search (Barker, 2014; Yan et al., 2016; Gibb et al., 2015). Both transfer RNAs genes and their secondary structures of the stem-loop were identified by tRNAscan-SE Search Server v.1.21 (http://lowelab.ucsc.edu/cgi-bin/tRNAscan-SE2.cgi) using the default arguments (Lowe and Eddy, 1997). And the cloverleaf secondary structures of T. merula were painted by using Photoshop. The tandem repeats of noncoding regions were analyzed with the Tandem Repeats Finder program (http://tandem.bu.edu/trf/trf.advanced.submit.html) (Benson, 1999). The base composition of the complete mitochondrial genome, 13 PCGs, 22 tRNAs, 2 rRNAs, D-loop, codon usage of 13 PCGs were analyzed using MEGA 6.06 (Tamura et al., 2013). Composition skew was calculated according to the following formulas: AT-skew = [A–T]/[A + T] and GCskew = [G–C]/[G + C], respectively (Lobry, 1996; Perna and Kocher, 1995). The complete mtDNA sequence of T. merula reported in this article was deposited in GenBank under the accession number MN248536.

 

Table I. PCR primers covering the mitochondrial genome of the T. merula.

Primer name

Upper primer sequence(5'→3')

Lower primer sequence(5'→3')

T1

GGGCCATCAACTTCATCACTACT

GGAGAAGGTGAATCAGGTTAGGA

T2

GTAACAAGGTAAGTGTACCGGAAGG

GCTAGGGAGAGGATTTGAACCTC

T3

TTCGAAGCAACCCTAATCCCAAC

AGGCCAAATTGAGCGGATTTTCC

T4

GCTGAGARGGNGTRGGAATCATRTC

CCCTCAGAATGATATTTGTCCTCA

T5

AACATCTCCGCATGATGAAA

CTTTTCAAGCCGTAGKYCTYGG

T6

ACAAAAACTACCAGCATACCCC

CGATTACAGAACAGGCTCCTCTA

T7

GAGCAATCCAGGTCGGTTTCTA

GGCTGATTGGGTGAGGAAGTAT

T8

CCCATACCCCGAAAATGATG

CCGAAGAATCAGAATAGGTGTTG

T9

GGMCARTGCTCAGAAATCTGYGG

GGGTCAAATCCGCATTCRTABGG

T10

TTYGAAGCMGCMGCCTGATACTG

GGWGCTTCTACGTGGGCTTTDGG

T11

AAAGCATGGCACTGAAGATG

CTTTCAGGTGTAAGCTGAATGC

T12

CAGTAGAGCACCCATTCATCATC

GCACCGCCAAGTCCTTAGAG

 

Table II. Mitogenomes of the Passeriformes used in the study.

Species

Size (bp)

Accession no.

Suborder: Passerida

Superfamily: Muscicapoidea

Family: Turdidae

Genus: Turdus

1.T. merula

16,734

MN248536*

2. T. merula

16,730

KT601060

3. T. merula

16,733

NC_028188

4. T. abyssinicus

16,707

NC_052843

5. T. cardis

16,761

NC_046948

6. T. ruficollis

16,737

MT712159

7. T. dissimilis

16,761

MW307918

8. T. mupinensis

16,735

MW338659

9. T. kesseri

16,754

NC_041095

10. T. celaenops

16,749

LC541445

11. T. obscurus

16,739

MZ337397

12. T. eunomus

16,737

KM015261

13. T. naumanni

16,750

KJ834096

14. T. hortulorum

16,759

NC_024552

15. T. migratorius

16,669

NC_024872

16. T. rufiventris

16,669

NC_028179

17. T. philomelos

18,540

NC_029147

Myadestes

18. M. myadestinus

16,641

NC_031352

Zoothera

19. Z. aurea

16,778

KT340629

Copsychus

20. C. saularis

16,827

NC_030603

Cyanoptila

21. C. cyanomelana

16,802

HQ896033

Ficedula

22. F. albicollis

16,787

KF293721

23. F. zanthopygia

16,794

JN018411

Calliope

24. C. calliope

16,841

HQ690246

Phoenicurus

25. P. auroreus

16,772

NC_026066

Luscinia

26. L. cyanura

16,803

NC_026067

Monticola

27. M. gularis

16,801

NC_033536

Acridotheres

28. A. cristatellus

16,820

JF810423

Gracula

29. G. religiosa

16,818

JF937590

Sturnus

30. S. cineraceus

16,821

HQ896037

31. S. nigricollis

16,841

JQ003192

32. S. sericeus

16,823

NC_014455

33. S. vulgaris

16,822

HQ915864

Acridotheres

34. A. tristis

16,793

NC_029360

Abrornis

35. A. inornata

16,875

NC_024726

Sylvia

36. S. crassirostris

17,207

AM889141

37. S. atricapilla

17,937

AM889140

Acrocephalus

38. A. scirpaceus

17,903

AM889139

Psittiparus

39. P. gularis

17,109

NC_039536

Paradoxornis

40. P. fulvifrons

17,059

NC_028436

41. P. nipalensis

16,996

NC_028437

42. P. webbianus

16,960

NC_024539

43. P. gularis

17,109

KX397391

Species

Size (bp)

Accession no.

Alauda

44. A. arvensis

17,018

NC_020425

Melanocorypha

45. M. mongolica

17,358

NC_036760

Parus

46. P. major

16,776

NC_026293

47. P. monticolus

16,771

NC_028187

Pardaliparus

48. P. venustulus

16,778

NC_026701

Periparus

49. P. ater

16,783

NC_026223

Poecile

50. P. atricapilla

16,765

NC_024867

51. P. montanus baicalensis

16,783

KX388479

52. P. palustris

16,824

NC_026911

Pseudopodoces

53. P. humilis

16,758

KP001174

Remiz

54. R. consobrinus

16,737

KC463856

Sylviparus

55. S. modestus

17,086

KP642167

Hyliota

56. H. flavigaster

16,218

NC_024868

Pyrgilauda

57. P. ruficollis

16,909

KC836121

Pyrgilauda

58. P. davidiana

16,912

NC_025915

Pyrgilauda

59. P. blanfordi

16913

NC_025912

Passer

60. P. ammodendri

16,782

NC_029344

61. P. montanus saturatus

16,904

KM577704

62. P. domesticus

16,802

KM078784

63. P. montanus

16,887

NC_024821

Prunella

64. P. montanella

16,832

NC_027284

Padda

65. P. oryzivora

16,817

NC_028441

Montifringilla

66. M. henrici

16,924

NC_042414

67. M. taczanowskii

16,917

NC_025914

68. M. adamsi

16,912

NC_025913

69. M. nivalis

16,923

NC_025911

Petronia

70. P. petronia

17,426

MF071218

Prunella

71. P. fulvescens

16,837

NC_035747

72. P. strophiata

16,830

NC_031819

Regulus

73. R. regulus

16,847

NC_029837

74. R. calendula

16,859

NC_024866

Callaeas

75. C. cinereus

16,711

NC_031350

Creadion

76. P. carunculatus

16,827

NC_029143

Corvus

77. C. frugilegus

16,931

NC_002069

Pica

78. P. pica

16,939

NC_015200

Cyanopica

79. C. cyanus

16,893

JN108020

Lanius

80. L. tephronotus

16,820

NC_021105

81. L. schach

16,820

NC_030604

Oriolus

82. O. chinensis

16,803

NC_020424

Turnagra

83. T. capensis

16,932

KU158197

Rhagologus

84. R. leucostigma

17,044

NC_040956

Pericrocotus

85. P. ethologus

16,935

NC_024257

Lalage

86. L. tricolor

16,952

KY994597

Vireo

87. V. olivaceus

17,295

NC_024869

Terpsiphone

88. T. atrocaudata

16,954

NC_032725

Menura

89. M. novaehollandiae

17,839

NC_007883

Climacteris

90. C. picumnus

16,869

KY994598

 

Note: The asterisk indicates the species in this study.

 

Phylogenetic analysis

To explore the phylogenetic relationships between T. merula and other Aves (Passeriformes: Turdidae, Sturnidae, Muscicapidae and Paridae, and so on), all available complete mitochondrial genomes of them were downloaded at NCBI Genbank. Moreover, two species Menura novaehollandiae (NC_007883), and Climacteris picumnus (KY994598) were set as outgroup (Table II). All 13 protein coding genes were aligned using MEGA 6.06 with default settings (Tamura et al., 2013). Subsequently, all 13 PCG alignments were combined to create a concatenated data set. The optimal nucleotide substitution model was selected using jModeltest v.0.1.1 (Posada, 2008). Maximum Likelihood (with 1000 bootstrap replicates) and Akaike Information Criterion (AIC; Posada and Buckley, 2004) scores (Bayesian Information Criterion) were used for phylogenetic tree construction using PhyML v.3.0 (Guindon and Gascuel, 2003) and the Bayesian inference (BI) analysis was performed with MrBayes v.3.1.2 (Huelsenback and Ronquist, 2001). The best partitioning schemes for each partition were determined using PartitionFinder v2.1.1 (Lanfear et al., 2017). The mitogenome data matrix was divided into 39 partitions based on codon positions for each PCGs (13 genes × 3 codons = 39 partitions). The best fitting model of GTR+I+G (nst=6; rates=gamma) was selected for subsequent Bayesian phylogenetic analyses. Four Markov chains (one cold and three hot chains) were simultaneously run at five million generations, sampling every 1000 generations.

RESULTS AND DISCUSSION

Genome annotation and base composition

The complete mitogenomes of T. merula was a 16,734 bp in length. The circular DNA molecule (Table III, Fig. 1), which contains 13 protein-coding genes, 2 rRNA genes, 22 tRNA genes, and one non-coding region. Among the 37 fragment genes, 9 genes (including 1 protein-coding genes and 8 tRNA genes) were encoded by L chains, and the rest by H chains. Its overall base composition (H-strand) was: A, 29.34%; C, 32.50%; G, 14.82% and T, 23.34%, so the percentage of A and T (52.67%) was slightly higher than G and C (47.32%), within the range for avian mitogenomes (51.6-55.7%), similar to those of other thrushs (Haring et al., 2001; Rong et al., 2010; Yan et al., 2016; Li et al., 2016; Peng et al., 2016). The mitochondrial genome sequence of T. merula contained 42bp (0.25% of the whole sequence) overlapping nucleotides. Moreover, varied in length from 1 to 10 bp and the largest overlap (10bp) is located between 12S rRNA and tRNAVal, ATP6 and ATP8, respectively. A total of 74bp (0.44% of the whole sequence) intergenic nucleotides (IGN) were dispersed in 18 locations and ranged in size from 1 to 10 bp; the largest gene interval can be found in three places (tRNAAsp and COX2, ND5 and Cytb, tRNAPro and ND6). The details of gene location were given in Table III.

 

 

We identified two long gene overlaps in T. merula, namely, 10-bp long overlaps (ATGAACCTAA) and 7-bp long overlaps (ATGCTAA), which are also found in many other Passeriformes species (Fig. 2, Table III). The two overlaps were located between ATP8 and ATP6 and between ND4L and ND4 on the H-strand, respectively. The overlapped sequences between genes were thought to be translated as a bicstron (Stewart and Beckenbach, 2005).

 

Table III. Characteristics of the mitochondrial genome of T. merula.

Gene

Position

Sizes

Codon

intergenic

Nudeotide †

Strand ‡

A+T %

From

To

Nudeotide (bp)

Amino acid

Anti-codons (tRNA)

Start

Stop*

tRNA-Phe

1

68

68

GAA

0

H

51.5

12S ribosomal RNA

69

1052

984

-10

H

50.9

tRNA-Val

1043

1112

68

TAC

0

H

57.4

16S ribosomal RNA

1113

2713

1601

-3

H

54.9

tRNA-Leu

2711

2785

75

TAA

4

H

50.7

ND1

2790

3767

978

325

ATG

AGG

6

H

51.8

tRNA-Ile

3774

3845

72

GAT

6

H

55.6

tRNA-Gln

3852

3922

71

TTG

-1

L

64.8

tRNA-Met

3922

3990

69

CAT

0

H

47.8

ND2

3991

5029

1039

346

ATG

T--

0

H

51.6

tRNA-Trp

5030

5099

70

TCA

1

H

61.4

tRNA-Ala

5101

5169

69

TGC

4

L

60.9

tRNA-Asn

5174

5248

75

GTT

0

L

49.3

tRNA-Cys

5249

5315

67

GCA

0

L

52.2

tRNA-Tyr

5316

5385

71

GTA

1

L

59.2

COXI

5387

6937

1551

516

GTG

AGG

-9

H

50.8

tRNA-Ser

6929

7001

73

TGA

3

L

56.2

tRNA-Asp

7005

7074

70

GTC

10

H

60.0

COXII

7085

7768

684

227

ATG

TAA

1

H

52.0

tRNA-Lys

7770

7837

68

TTT

1

H

57.4

ATP8

7839

8006

168

55

ATG

TAA

-10

H

55.4

ATP6

7997

8680

684

227

ATG

TAA

5

H

51.5

COXIII

8686

9469

784

261

ATG

T--

0

H

48.9

tRNA-Gly

9470

9538

69

TCC

0

H

60.9

ND3

9539

9889

351

116

ATG

TAA

1

H

52.1

tRNA-Arg

9891

9960

70

TCG

1

H

60.0

ND4L

9962

10258

297

98

ATG

TAA

-7

H

49.8

ND4

10252

11629

1378

459

ATG

T--

0

H

52.2

tRNA-His

11630

11699

70

GTG

0

H

61.4

tRNA-Ser

11700

11765

66

GCT

-1

H

45.5

tRNA-Leu

11765

11835

71

TAG

0

H

59.2

ND5

11836

13653

1818

605

ATG

AGA

10

H

52.9

Cytb

13664

14806

1143

1

H

52.9

tRNA-Thr

14808

14876

69

TGT

8

H

66.7

tRNA-Pro

14885

14954

70

TGG

10

L

58.6

ND6

14965

15483

519

172

ATG

TAG

1

L

51.1

tRNA-Glu

15485

15556

72

TTC

0

L

47.2

D-loop

15557

16734

1180

0

H

54.9

 

* T represents incomplete stop codons. † Intergenic bp indicates gap nucleotides (positive value) or overlapped nucleotides (negative value) between two adjacent genes. ‡ H and L indicate genes transcribed on the heavy and light strands, respectively.

 

Table IV. Composition and skew values in T. merula.

Gene/region

Size

(bp)

A

(bp)

T

(bp)

G

(bp)

C

(bp)

A %

T %

G %

C %

AT %

AT skew

GC skew

Whole genome

16734

4910

3905

2480

5439

29.34

23.34

14.82

32.50

52.68

0.11

-0.37

H-strand

14432

4211

3353

2173

4695

29.18

23.23

15.06

32.53

52.41

0.11

-0.37

L-strand

1087

390

193

150

354

35.88

17.76

13.80

32.57

53.63

0.34

-0.40

13 Protein-coding genes

11391

3095

2798

1657

3841

27.17

24.56

14.55

33.72

51.73

0.05

-0.40

1st

3797

1030

775

885

1107

27.13

20.41

23.31

29.15

47.54

0.14

-0.11

2nd

3797

692

1524

494

1087

18.22

40.14

13.01

28.63

58.36

-0.38

-0.38

3th

3797

1373

499

278

1647

36.16

13.14

7.32

43.38

49.30

0.47

-0.71

tRNA genes

1543

495

377

275

396

32.08

24.43

17.82

25.66

56.51

0.14

-0.18

rRNA genes

2583

856

523

531

673

33.14

20.25

20.56

26.05

53.39

0.24

-0.12

Control Region

1180

302

346

165

367

25.59

29.32

13.98

31.10

54.92

-0.07

-0.38

 

Another 9 bp long overlapping motif (CAAGAAAGG) was detected between COXI and tRNASer (UCN) in mitogenomes of T. merula, which was also present in other Passeriformes (Fig. 3). The sequenced motifs between ATP8 and ATP6, between ND4L and ND4, and between COXI and tRNASer (UCN) were relatively conserved in the Passeriformes species after mitogenomic comparisons. We found that gene overlap regions are ubiquitous in eukaryotic mitochondria. The existence of gene overlap regions enables limited genomic sequences to encode more genetic information, which is very economical and effective for the transmission of genetic information of species.

 

Protein-coding genes

All the 13 protein-coding genes found in other animals were also presented in T. merula, including 7 NADH dehydrogenase subunits (ND1-6, ND4L), 3 cytochrome c oxidase subunits (COXI-III), 1 Cytb, 2 ATPase subunits (ATP6, ATP8), and one cytochrome b gene (Cytb). The 13 mitochondrial protein-coding genes were 11,394 bp in length, accounting for 68.09% of the entire mitogenome sequence. The base composition of 13 PCGs were shown in Table IV. The A+T content of the 13 PCGs was 51.67% and the AT skew (0.10) of PCGs was slightly positive, while the GC skew (-0.45) was strongly negative. Contents with A+T in the second position were slightly higher than G+C while those in the first and third positions were on the contrary (Table IV). Two start codons (ATG, GTG) (ATG account for 92.31% of all initial codons), four stop codons of three (TAA, AGG, TAG), and the single incomplete stop codon (T) were used for initiating and terminating the coding of mitochondrial 13 PCGs. Only one protein-coding gene (COXI) utilized GTG as the start codon and all the others used ATG as standard start codon. TAA was the most frequent termination codon and seven protein-coding genes (COXII, ATP8, ATP6, ND3, ND4L, ND5, Cytb) ended with it; whereas ND1 and COXI ended with AGG and ND6 with TAG, which were also found in other Turdidae birds (Li et al., 2016; Zhang et al., 2018). The uncanonical T termination codon was used in the other three PCGs (ND2, COXIII, and ND4), which may be completed by poly-adenylation of the 3’-end of the mRNA after transcription (Boore, 1999; Yoon et al., 2013). In addition, the codon usage was shown in Table V and Figure 4. Encoding 3,797 amino acids (excluding stop codons), the most frequent amino acids in the 13 PCGs of T. merula were Leucine (19.44%), then Isoleucine (11.43%), and the next Alanine (9.15%). The highly abundant like this were similar to mitochondrial proteins of other birds (Liu et al., 2015, 2016; Song et al., 2016; Yong et al., 2015). According to relative synonymous codon usage shown in Table IV and Figure 5, the RSCU values of UUC, CUC, CUA, AUC, and other 26 codons were great than or equal to 1, they were called preference codons of the T. merula mitochondrial genome.

 

Table V. Codon usage in T. merula mitochondrial protein-coding genes.

Codon

Count

RSCU

%

UUU(F)

41

0.39

1.08%

UUC(F)

171

1.61

4.50%

UUA(L)

47

0.41

1.24%

UUG(L)

24

0.21

0.63%

CUU(L)

55

0.49

1.45%

CUC(L)

185

1.63

4.87%

CUA(L)

317

2.8

8.35%

CUG(L)

52

0.46

1.37%

AUU(I)

64

0.48

1.69%

AUC(I)

224

1.68

5.90%

AUA(I)

112

0.84

2.95%

AUG(M)

42

1

1.11%

GUU(V)

40

0.84

1.05%

GUC(V)

60

1.26

1.58%

GUA(V)

65

1.37

1.71%

GUG(V)

25

0.53

0.66%

UCU(S)

36

0.74

0.95%

UCC(S)

102

2.1

2.69%

UCA(S)

84

1.73

2.21%

UCG(S)

10

0.21

0.26%

CCU(P)

27

0.48

0.71%

CCC(P)

101

1.8

2.66%

CCA(P)

88

1.56

2.32%

CCG(P)

9

0.16

0.24%

ACU(T)

52

0.67

1.37%

ACC(T)

142

1.83

3.74%

ACA(T)

113

1.46

2.98%

ACG(T)

3

0.04

0.08%

GCU(A)

56

0.7

1.47%

GCC(A)

160

2

4.21%

GCA(A)

97

1.21

2.55%

GCG(A)

7

0.09

0.18%

UAU(Y)

33

0.59

0.87%

UAC(Y)

79

1.41

2.08%

UAA(*)

6

1.71

0.16%

UAG(*)

1

0.29

0.03%

Codon

Count

RSCU

%

CAU(H)

20

0.37

0.53%

CAC(H)

87

1.63

2.29%

CAA(Q)

88

1.85

2.32%

CAG(Q)

7

0.15

0.18%

AAU(N)

22

0.34

0.58%

AAC(N)

108

1.66

2.84%

AAA(K)

82

1.91

2.16%

AAG(K)

4

0.09

0.11%

GAU(D)

11

0.33

0.29%

GAC(D)

56

1.67

1.47%

GAA(E)

67

1.52

1.76%

GAG(E)

21

0.48

0.55%

UGU(C)

7

0.41

0.18%

UGC(C)

27

1.59

0.71%

UGA(W)

95

1.78

2.50%

UGG(W)

12

0.22

0.32%

CGU(R)

8

0.65

0.21%

CGC(R)

17

1.38

0.45%

CGA(R)

37

3

0.97%

CGG(R)

9

0.73

0.24%

AGU(S)

8

0.16

0.21%

AGC(S)

51

1.05

1.34%

AGA(R)

1

0.08

0.03%

AGG(R)

2

0.16

0.05%

GGU(G)

19

0.35

0.50%

GGC(G)

77

1.4

2.03%

GGA(G)

74

1.35

1.95%

GGG(G)

50

0.91

1.32%

 

 

 

Ribosomal RNA and transfer RNA genes

The 12S rRNA was 984bp and the 16S rRNA was 1601bp in length, which were located between tRNAPhe and tRNALeu (UUR) genes, and separated by tRNAVal gene, as other avian rRNA genes (Yoon et al., 2015). The base composition of the two rRNA gene sequences are shown in Table V. The content of A+T (53.4%) was higher than that of C+G (46.6%).

Like most Turdus mtDNA, scattering throughout the mitogenome, the typical set of 22 tRNA genes was identified, ranging from 66 bp (tRNASer(AGY)) to 75 bp (tRNALeu and tRNAAsn ) in size (Table V). Among those tRNAs, fourteen tRNA were encoded on the H-strand and eight on the L-strand. Their secondary clover-leaf structures were predicted by tRNAscan-SE Search Server and presented in Figure 2. Only one (tRNASer(AGY)) of them can not fold into the canonical cloverleaf secondary structure, whose dihydroxyuridine arm is absent. These features are common in most metazoans mitogenomes (Ohtsuki et al., 2002; Yoon et al., 2015). Furthermore, except the tRNASer(AGY), the other tRNA genes each have a 7bp length on the amino acid acceptor arm and the anticodon loop; the length of the DHU arm is 3 to 4bp, the anticodon arm is 3 to 5bp, the TψC arm was 4 to 5bp; the DHU ring, variable ring, and T ring vary greatly. This may be one of the main reasons for the variation of the tRNA length. The sequence and structure of anticodon, amino acceptor, and TψC arms were highly conserved, while the structure of the variable loop was highly diverse with obvious indels polymorphisms (Chen et al., 2018a, b). In addition to the typical A-U and G-C pairing, there were 30 swinging mismatched base pairs (G-U) in the mitochondrial genome of tRNA secondary structure of T. merula, most of which were found in the amino acid acceptor arm (12 places) and the anticodon arm (9 places). In addition, the remaining contained 4 places in DHU arm and 5 places in the TψC arm, and there are also some other mismatched bases, such as U-U, C-C, A-A and A-C (Fig. 6). In most arthropod mtDNA, these mismatches might be corrected by RNA editing, so that they can not lead to obstruction in amino acid transportation (Yokobori and Pääbo, 1995; Dang et al., 2008; Liu et al., 2012). At the same time, Varani and Mcclain (2000) believed that the unmatched base pair G-U can play an important role in the stability of tRNA secondary structure.

 

Non-coding regions

The non-coding region of T. merula includ a 1,180 bp long control region (D-loop) and a few intergenic spacers. As is the case in most avian mitogenomes, the D-loop region is located between tRNAGlu and tRNAPhe on H strand. The nucleotide composition of the T. merula CR is 25.5% A, 29.4% T, 31.0% C, and 14.0% G, with a distinct bias against G. The AT-skew is slightly negative (-0.07) while the GC-skew is strongly positive (0.38). Comparing the conserved motifs with those of other avian CRs and according to the basis of the variability (Anderson et al., 1981; Brown et al., 1986; Doda et al., 1981), T. merula CR could be divided into three domains (Fig. 7): (i) the extended termination-associated sequence motif (ETAS) domain, which is associated with the termination of the newly synthesized H-strand during replication (Ryu and Hwang, 2012; Sbisa et al., 1997; Yoon et al., 2015); (ii) the central domain (CD); (iii) the conserved sequence block (CSB) domain. Locating between the 5’-end of the CR and the beginning of the F-box in the central domain, the ETAS domain contains conserved sequence blocks (CSB1-like) and two Extended termination associated motifs (ETAS1-2). Futhermroe closer to the 5’-end of the CR, a cytosine stretches sequence (CTCCACCCCCCCCCCTTCCCCCCC) was found, which also exists in many bird species (Randi and Lucchini, 1998; Ritchie and Lambert, 2000; Yoon et al., 2015). The central domain contains six highly conserved sequence blocks (F-box, E-box, D-box, C-box, b-box and B-box). The F-box is at the upstream of the CD region while the B-box at downstream. CSB region is known to contain three conserved regions (CSB1, CSB2, CSB3) in the mitochondrial of vertebrates (Walberg and Clayton, 1981), but there is only one CSB1 and a bi-directional transcriptional promoter (HSP/LSP box) in T. merula of this region. Gene duplications, rearrangements and missing may lead to gene order changes. Generally, there are two types of arrangements between Cytb and 12S rRNA genes of mitochondrial organisation: (i) tRNAThr/tRNAPro/NADH6/tRNAGlu/CR/tRNAPhe; (ii) tRNAThr/ CR/tRNAPro/NADH6/tRNAGlu/ NC/tRNAPhe and the T. merula follow the first pattern.

 

Molecular phylogenetic analyses

The bayesian inference (BI) and maximum likelihood (ML) phylogenetic trees, which are based on the concatenated 13 PCGs of mitochondrial gene sequences of 78 passeriformes species and two outgroup species (Menura novaehollandiae and Climacteris picumnus), were reconstructed. In our study, the concatenated PCG data set of the mitogenome sequences included 11,382 nucleotide positions, including 5,229 conserved sites, 6,153 variable sites, and 5,577 potentially parsimony-informative sites. The phylogenetic relationship among these species shows the tree topologies of ML and BI were similar, except for several Turdidae species (T. migratorius, T. rufiventris and T. merula) in relationships or placements (Fig. 8).

Our phylogenetic trees strongly support the monophyly of Passeriformes group, as suggested by a previous study (Sibley and Ahlquist, 1992). The topological structure of the phylogeny of passerines allowed Sibley and Ahlquist (1992) to verify the traditional division of passerines into two suborders, the Suboscines and Oscines forming two obvious monophyletic lineages. The Oscines can be further split into two suborders: Corvida and Passerida, and Passerida can be divided into three superfamilies: the Muscicapoidea, the Sylvioidea, and the Passeroidea (Sibley and Ahlquist, 1992; Zhang et al., 2018). Although Passeroidea is a sister taxon of Muscicapoidea and Sylvioidea, Muscicapoidea and Sylvioidea are more closely related to each other. This relationship is also inconsistent in previous studies (Barker et al., 2002, 2004; Marshall et al., 2013; Zhang et al., 2018). Furthermore, corvida and passerida cluster on a large branch, and form a sister classification relation. Terpsiphone atrocaudata (Monarchidae) is located at the base of the Corvidae and Laniidae clade, while Regulus calendula and R. regulus (Regulidae) combine into a clade at the base of the Passerida group (Fig. 8). The two species were previously placed in the family Sylviidae, which is inconsistent with the results of our phylogenetic tree, and it has been previously reported (Keith, 2014). The systematic evolutionary relationships of two species representing the Regulidae in Passerida belong to other taxonomic groups because of the high support value of nodes (1.00/975) (Fig. 8). However based on the phylogeny reasoning of our study, there may be a clear statement when the sampled taxa and molecular markers are added. Hyliota flavigaster (Hyliotidae) forms a sister group with the family Paridae at the base of this family. One obvious result of the Fuchs et al. (2006) and Johansson et al. (2008) studies was the identification of the presumptive sylvioid genus Hyliota as another deeply-diverging member of the Passerida with unclear affinities. In line with our phylogenetic tree, H. flavigaster has a distant relationship with the family Sylviidae, which is different to the previous study and considered it to family Sylviidae (Keith, 2014). Our data suggest that it should be classified into the superfamily Sylvioidea.

 

The phylogenetic analysis based on the 13 PCGs of the mitochondrial genome suggests that the species of genus Paradoxornis should not be placed in the superfamily Muscicapoidea or family Muscicapidae (Fig. 8). Based on our phylogeny, we propose that genus Paradoxornis should be placed in the superfamily Sylvioidea or the family Sylviidae. Moreover, the systematic taxonomic status of the P. humilis (Paridae) has long been controversial. The species is classified into the family Corvidae based on skeletal characteristics and taxonomic data, while Hope (1989) considered P. humilis not to be placed in Corvidae. Then, James et al. (2003) obtained similar results with different methods, namely, the skeletal characteristics, nuclear gene (c-myc), and mitochondrial gene (Cytb). Subsequently, some researchers (Ericson and Johansson, 2003; Johansson et al., 2008; Treplin et al., 2008) strongly supported that this family should be separated from all other Sylvioidea, and independently form a taxonomic group, which is consistent with previous studies (Alström et al. 2006). In our mitochondrial genome analysis, the P. humilis is nested within other species of the family Paridae (Fig. 8), and should belong to this Sylvioidea. However, this relationship is inconsistent with previous research and proposed that it should be placed within the Muscicapoidea (Ericson et al., 2003; Johansson et al., 2008; Treplin et al., 2008; Zhang et al., 2018). Furthermore Marshall et al. (2013) suggested that the family Paridae represented by P. humilis should be separated from Sylvioidea and moved to the superfamily Muscicapoidea. However our phylogenetic data, similar to Zhang et al. (2018), show that this family belongs to Sylvioidea and confirmed that P. humilis was included in the Paridae.

Within the taxa of the superfamily Muscicapoidea, Sangster et al. (2010) and Zhang et al. (2018) strongly suggest that Muscicapidae is not monophyletic, and exists extensive paraphyly at the family and genus levels within this group. If some species are not classified into other families, such as Paradoxornis, Luscinia cyanura, and Monticola gularis, our taxonomic relationships are similar to previous studies (Sangster et al., 2010; Zhang et al., 2018). Based on the topology tree we reconstructed, we suggest that the genus Paradoxornis needs to be classified as Sylviidae, while the two species (Luscinia cyanura and Monticola gularis) are placed in the family Muscicapidae (the specific classification is shown in Fig. 8). The formation of the sister taxa of these two families, Muscicapidae and Turdidae, indicates that they are closely related, and then they form the superfamily Muscicapoidea together with the Sturnidae families (Fig. 8).

In the family Turdidae, M. myadestinus was basal position of the other Turdidae species, indicating that its differentiation is relatively primitive. And T. merula form a big branch with T. obscurus, T. celaenops, T. eunomus, T. kesseri, T. mupinensis, T. naumanni, T. ruficollis, T. dissimilis, T. cardis and T. hortulorum, which indicates that they are closely related (Fig. 8). The species evolutionary relationship of genus Turdus we constructed is consistent with that of Xu et al. (2010), but different from that of Peng et al. (2016) (T. merula, T. migratorius; T. naumanni, T. hortulorum), Batista et al. (2020) (T. migratorius; T. rufiventris; T. eunomus; T. naumanni; T. obscurus; T. hortulorum; T. merula), Nylander et al. (2008) (T. naumanni; T. ruficollis; T. kesseri; T. obscurus; T. celaenops; T. cardis; T. hortulorum; T. dissimilis; T. migratorius; T. rufiventris; T. merula; T. abyssinicus; T. mupinensis) and Nagy et al. (2019) (T. naumanni; T. ruficollis; T. obscurus; T. kesseri; T. cardis; T. hortulorum; T. dissimilis; T. merula; T. rufiventris; T. migratorius). However in T. merula, T. migratorius, T. mupinensis and T. rufiventris there are some differences in the topological structure among different researchers. Hence, we suggest that the specific systematic taxonomic relationships of these species should be further analyzed and discussed. It may be possible that such a taxonomic status could be recovered using a more comprehensive taxa sampling of complete mtDNA genomes and supplementary nuclear gene molecular markers.

With regard to the New Zealand wattlebirds (Philesturnus carunculatus and Callaeas cinereus), our phylogenetic trees are strongly supported as a monophyletic group with both nuclear gene and mitochondrial DNA sequence data (Shepherd and Lambert, 2007; Gibb et al., 2015). Furthermore, the position of the New Zealand wattlebird taxa within the Oscines, as determined in our study (i.e. embodied in the oscines but excluded from the Passerida and Corvoidea), was consistent with the placement of P. carunculatus in previous studies (Barker et al., 2004; Shepherd and Lambert, 2007; Gibb et al., 2015). However, in our system topology, there are different classification arrangements (Fig. 8). For example, P. carunculatus and C. cinereus congregate in the same branch and are closely related to the Passerida, and they are located at the base of the order. Therefore, it is suggested that the two species should be classified into the order Passerida.

CONCLUSIONS

In this study, the complete mitochondrial genome of T. merula was determined and analyzed, and it is similar to other Passeriformes with many significant features. The motifs obtained by sequence comparison, “ATGAACCTAA” between ATP8 and ATP6, and “ATGCTAA” between ND4L and ND4, and “CAAGAAAGG” between COXI and tRNASer(UCN) were highly conservative in Passeriformes species. In the current research, the phylogenetic relationships based on nucleotide sequences of 13 PCGs showed that the phylogeny analyses of Passerida were conducted with the clear support of dividing the group into three superfamilies: the Muscicapoidea, the Sylvioidea, and the Passeroidea, and Passeroidea is a sister taxon for Muscicapoidea and Sylvioidea. We suggest that the genus Paradoxornis will be classified as Sylviidae, while these two species (Luscinia cyanura and Monticola gularis) are placed in the family Muscicapidae. Furthermore, Turdidae formed a sister group with Muscicapidae, and then they form the superfamily Muscicapoidea together with the Sturnidae families. The relationships between some species of the order Passeriformes may remain difficult to resolve despite an effort to collect additional characters and samples for phylogenetic analysis and our results could be useful in future research on population genetic structure, phylogeny, and conservation genetics.

ACKNOWLEDGMENTS

We would like to express our gratitude to all those who helped us during the writing of this manuscript.

IBR approval

The animal handling procedures conformed with the China Animal Welfare guidelines and have been approved by the Ethic and Animal Welfare Committee and the Animal Protection and Use Commission of Mianyang Normal University (MNU: 19ZBJC-01).

Funding

This research was supported by the Research Project of Ecological Security and Protection Key Laboratory of Sichuan Province (No. ESP2003), the Research Project of Education Office Project of Sichuan Province (No. 18ZA0261), the Scientific Research Fund of Mianyang Teacher’s College (Nos. PY-2016-A03, MYSY2017JC02, Mnu-JY20035 and Mnu-19ZBJC-01).

Ethical statement

This study was carried out in accordance with the guidelines of Animal Care and Use Committee at the Mianyang Normal University. Efforts were taken to minimize bird suffering by administering anesthesia. The study did not involve endangered or protected species.

Statement of conflict of interest

The authors have declared no conflict of interest.

REFERENCES

Alam, M.T., Read, T.D. and Dove, A.D., 2014. The complete mitochondrial genome sequence of the world’s largest fish, the whale shark (Rhincodon typus), and its comparison with those of related shark species. Gene, 539: 44-49. https://doi.org/10.1016/j.gene.2014.01.064

Alström, P., Ericson, P.G., Olsson, U. and Sundberg, P., 2006. Phylogeny and classification of the avian superfamily Sylvioidea. Mol. Phylogenet. Evol., 38: 381-397. https://doi.org/10.1016/j.ympev.2005.05.015

Anderson, S., Bankier, A.T., Barrell, B.G., de Bruijn, M.H., Coulson, A.R., Drouin, J., Eperon, I.C., Nierlich, D.P., Roe, B.A., Sanger, F., Schreier, P.H., Smith, A.J., Staden, R. and Young, I.G., 1981. Sequence and organization of the mitochondrial human genome. Nature, 290: 457-465. https://doi.org/10.1038/290457a0

Anmarkrud, J.A. and Lifjeld, J.T., 2017. Complete mitochondrial genomes of eleven extinct or possibly extinct bird species. Mol. Ecol. Resour., 17: 334-341. https://doi.org/10.1111/1755-0998.12600

Barker, F.K., 2014. Mitogenomic data resolve basal relationships among passeriform and passeridan birds. Mol. Phylogenet. Evol., 79: 313-324. https://doi.org/10.1016/j.ympev.2014.06.011

Barker, F.K., Barrowclough, G.F. and Groth, J.G.A., 2002. phylogenetic hypothesis for passerine birds: Taxonomic and biogeographic implications of an analysis of nuclear DNA sequence data. Proc. R. Soc. B-Biol. Sci., 269: 295-308. https://doi.org/10.1098/rspb.2001.1883

Barker, F.K., Cibois, A., Schikler, P., Feinstein, J. and Cracraft, J., 2004. Phylogeny and diversification of the largest avian radiation. Proc. natl. Acad. Sci. USA, 101: 11040-11045. https://doi.org/10.1073/pnas.0401892101

Batista, R., Olsson, U. andermann, T., Aleixo, A., Ribas, C.C. and Antonelli, A., 2020. Phylogenomics and biogeography of the world’s thrushes (Aves, Turdus): New evidence for a more parsimonious evolutionary history. Proc. R. Soc. B., 287: 20192400. https://doi.org/10.1098/rspb.2019.2400

Benson, G., 1999. Tandem repeats finder: A program to analyze DNA sequences. Nucl. Acids Res., 27: 573-580. https://doi.org/10.1093/nar/27.2.573

Bernt, M., Braband, A., Schierwater, B. and Stadler, P.F., 2013. Genetic aspects of mitochondrial genome evolution. Mol. Phylogenet. Evol., 69: 328-338. https://doi.org/10.1016/j.ympev.2012.10.020

Boore, J.L., 1999. Animal mitochondrial genomes. Nucl. Acids Res., 27: 1767-1780. https://doi.org/10.1093/nar/27.8.1767

Boore, J.L. and Brown, W.M., 1998. Big trees from little genomes: Mitochondrial gene order as a phylogenetic tool. Curr. Opin. Genet. Dev., 8: 668-674. https://doi.org/10.1016/S0959-437X(98)80035-X

Brown, G.G., Gadaleta, G., Pepe, G., Saccone, C. and Sbisà, E., 1986. Structural conservation and variation in the D-loop-containing region of vertebrate mitochondrial DNA. J. mol. Biol., 192: 503-511. https://doi.org/10.1016/0022-2836(86)90272-X

Chen, W., Liu, W., Zhang, C., Liu, W., Li, K. and Hu, C., 2018. The complete mitochondrial genome of the red-necked stint Calidris ruficollis, (Charadriiformes, Scolopacidae). Conserv. Genet. Resour., a: 1-4. https://doi.org/10.1007/s12686-018-0996-1

Chen, W., Zhang, C. and Pan, T., 2018. The mitochondrial genome of the Kentish Plover Charadrius alexandrinus, (Charadriiformes: Charadriidae) and phylogenetic analysis of Charadrii. Genes Genom., b: 1-9. https://doi.org/10.1007/s13258-018-0703-3

Dang, J.P., Liu, N., Ye, W. and Huang, Y., 2008. Complete mitochondrial genome sequence of Gastrimargus marmoratus (Thunberg) (Orthoptera:Acridoidea). Acta entomol. Sin., 51: 671-680.

Desjardins, P. and Morais, R., 1990. Sequence and gene organization of the chicken mitochondrial genome. A novel gene order in higher vertebrates. J. mol. Biol., 212: 599-634. https://doi.org/10.1016/0022-2836(90)90225-B

Dickinson, E.C., 2003. The Howard and Moore complete checklist of the birds of the world, 3rd ed. Christopher Helm, London.

Doda, J.N., Wright, C.T. and Clayton, D.A., 1981. Elongation of displacement-loop strands in human and mouse mitochondrial DNA is arrested near specific template sequences. Proc. natl. Acad. Sci. USA, 78: 6116-6120. https://doi.org/10.1073/pnas.78.10.6116

Edwards, S.V., 1991. Mitochondrial resolution of a deep branch in the genealogical tree for birds. Proc. R. Soc. B Biol. Sci., 243: 99-107. https://doi.org/10.1098/rspb.1991.0017

Eoran, D.R., Hixson, J.E. and Brown, W.S., 1988. Comparison of ape and human sequences that regulate mitochondrial DNA transcription and D-loop DNA synthesis. Nucl. Acids Res., 166: 5841-5861. https://doi.org/10.1093/nar/16.13.5841

Ericson, P.G.P., Irestedt, M. and Johansson, U.S., 2003. Evolution, biogeography, and patterns of diversification in passerine birds. J. Avian. Biol., 34: 3-15. https://doi.org/10.1034/j.1600-048X.2003.03121.x

Ericson, P.G. and Johansson, U.S., 2003. Phylogeny of passerida (Aves: Passeriformes) based on nuclear and mitochondrial sequence data. Mol. Phylogenet. Evol., 29: 126-138. https://doi.org/10.1016/S1055-7903(03)00067-8

Feduccia, A., 1995. Explosive evolution in tertiary birds and mammals. Science, 267: 637-638. https://doi.org/10.1126/science.267.5198.637

Fuchs, J., Fjeldsa, J., Bowie, R.C.K., Voelker, G. and Pasquet, E., 2006. The African warbler genus Hyliota as a lost lineage in the Oscine songbird tree: Molecular support for an African origin of the Passerida. Mol. Phylogenet. Evol., 39: 186-197. https://doi.org/10.1016/j.ympev.2005.07.020

Gibb, G.C., England, R., Hartig, G., McLenachan, P.A., Taylor Smith, B.L., McComish, B.J., Cooper, A. and Penny, D., 2015. New Zealand passerines help clarify the diversification of major songbird lineages during the oligocene. Genome Biol. Evol., 7: 2983-2995. https://doi.org/10.1093/gbe/evv196

Guindon, S. and Gascuel, O., 2003. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst. Biol., 52: 696-704. https://doi.org/10.1080/10635150390235520

Haring, E., Kruckenhauser, L., Gamauf, A., Riesing, M.J. and Pinsker, W., 2001. The complete sequence of the mitochondrial genome of Buteo buteo (Aves, Accipitridae) indicates an early split in the phylogeny of raptors. Mol. Biol. Evol., 18: 1892. https://doi.org/10.1093/oxfordjournals.molbev.a003730

Hope, S., 1989. Phylogeny of the avian family Corvidae. Dissertation, City University of New York, New York.

Huelsenback, J.P. and Ronquist, F., 2001. Mrbayes: Bayesian inference of phylogenetic trees. Bioinformatics, 17: 754-755. https://doi.org/10.1093/bioinformatics/17.8.754

Ingman, M., Kaessmann, H., Paabo, S. and Gyllensten, U., 2000. Mitochondrial genome variation and the origin of modern humans. Nature, 408: 708-713. https://doi.org/10.1038/35047064

James, H.F., Ericson, P.G.P., Slikas, B., Lei, F.M., Gill, F.B. and Olson, S.L., 2003. Pseudopodoces humilis, a misclassified terrestrial tit (Paridae) of the Tibetan Plateau: Evolutionary consequences of shifting adaptive zones. IBIS, 145: 185-202. https://doi.org/10.1046/j.1474-919X.2003.00170.x

Jiang, L., Wang, G., Peng, R., Peng, Q. and Zou, F., 2014. Phylogenetic and molecular dating analysis of Taiwan blue pheasant (Lophura swinhoii). Gene, 539: 21-29. https://doi.org/10.1016/j.gene.2014.01.067

Johansson, U.S., Fjeldsa, J. and Bowie, R.C.K., 2008. Phylogenetic relationships within Passerida (Aves: Passeriformes): A review and a new molecular phylogeny based on three nuclear intron markers. Mol. Phylogenet. Evol., 48: 858-876. https://doi.org/10.1016/j.ympev.2008.05.029

Keith, B.F., 2014. Mitogenomic data resolve basal relationships among passeriform and passeridan birds. Mol. Phylogenet. Evol., 79: 313-324. https://doi.org/10.1016/j.ympev.2014.06.011

Lanfear, R., Frandsen, P.B., Wright, A.M., Senfeld, T. and Calcott, B., 2017. Partitionfinder 2: New methods for selecting partitioned models of evolution for molecular and morphological phylogenetic analyses. Mol. Biol. Evol., 34: 772–773. https://doi.org/10.1093/molbev/msw260

Li, B., Zhou, L., Liu, G. and Gu, C., 2016. Complete mitochondrial genome of Naumann’s thrush Turdus naumanni (Passeriformes: Turdidae). Mitochondrial DNA, 27: 1117-1118. https://doi.org/10.3109/19401736.2014.933327

Liu, L., Li, H., Song, F., Song, W., Dai, X., Chang, J. and Cai, W., 2012. The mitochondrial genome of Coridius chinensis (Hemiptera: Dinidoridae). Zootaxa, 3537: 29-40. https://doi.org/10.11646/zootaxa.3537.1.2

Liu, Q.N., Xin, Z.Z., Bian, D.D., Chai, X.Y., Zhou, C.L. and Tang, B.P., 2016. The first complete mitochondrial genome for the subfamily Limacodidae and implications for the higher phylogeny of Lepidoptera. Sci. Rep., 6: 35878. https://doi.org/10.1038/srep35878

Liu, Q.N., Zhang, H.B., Jiang, S.H., Xuan, F.J., Li, C.F., Zhang, D.Z., Zhou, C.L. and Tang, B.P., 2015. The complete mitochondrial genome of Eriocheir japonica sinensis (Decapoda: Varunidae) and its phylogenetic analysis. Biochem. Biochem. Syst. Ecol., 62: 241-248. https://doi.org/10.1016/j.bse.2015.09.008

Lobry, J.R., 1996. Asymmetric substitution patterns in the two DNA strands of bacteria. Mol. Biol. Evol., 13: 660-665. https://doi.org/10.1093/oxfordjournals.molbev.a025626

Long, J.L., 1981. Introduced birds of the world. Agricultural Protection Board of Western Australia. pp. 21-493.

Lowe, T.M. and Eddy, S.R., 1997. tRNAscan-SE: A program for improved detection of transfer RNA genes in genomic sequence. Nucl. Acids Res., 25: 955-964. https://doi.org/10.1093/nar/25.5.955

Luo, J., Li, Y.H. and Hu, J., 2008. Nest site selection of Blackbird in Nanchong farmland area of Sichuan. Sichuan Anim., 27: 575-578.

Marshall, H.D., Baker, A.J. and Grant, A.R., 2013. Complete mitochondrial genomes from four subspecies of common chaffinch (Fringilla coelebs): New inferences about mitochondrial rate heterogeneity, neutral theory, and phylogenetic relationships within the order Passeriformes. Gene, 517: 37-45. https://doi.org/10.1016/j.gene.2012.12.093

Mu, X., Liu, Y., Lai, M., Song, H., Wang, X., Hu, Y. and Luo, J., 2015. Characterization of the Macropodus opercularis complete mitochondrial genome and family Channidae taxonomy using Illuminabased de novo transcriptome sequencing. Gene, 559: 189-195. https://doi.org/10.1016/j.gene.2015.01.056

Nabholz, B., Jarvis, E.D. and Ellegren, H., 2010. Obtaining mtDNA genomes from next-generation transcriptome sequencing: A case study on the basal Passerida (Aves: Passeriformes) phylogeny. Mol. Phylogenet. Evol., 57: 466-470. https://doi.org/10.1016/j.ympev.2010.06.009

Nagy, J., Végvári, Z. and Varga, Z., 2019. Phylogeny, migration and life history: Filling the gaps in the origin and biogeography of the Turdus thrushes. J. Ornithol., 160: 529-543. https://doi.org/10.1007/s10336-019-01632-3

Ni, Y., 2014. Distribution and protection of Blackbird Xinjiang subspecies. Xinjiang Animal Husbandry, pp. 63-64.

Nylander, J., Urban, O., Per, A. and Isabel, S., 2008. Accounting for phylogenetic uncertainty in biogeography: A bayesian approach to dispersal-vicariance analysis of the thrushes (Aves: Turdus). Syst. Biol., 57: 257-268. https://doi.org/10.1080/10635150802044003

Ohtsuki, T., Kawai, G. and Watanabe, K., 2002. The minimal tRNA: Unique structure of Ascaris suum mitochondrial tRNASer(UCU) having a short T arm and lacking the entire D arm. FEBS Lett., 514: 37-43. https://doi.org/10.1016/S0014-5793(02)02328-1

Payevsky, V. A., 2014. Phylogeny and classification of passerine birds, passeriformes. Mycologist, 4: 143-156. https://doi.org/10.1134/S2079086414020054

Peng, L.F., Yang, D.C. and Lu, C.H., 2016. Complete mitochondrial genome sequence of Eurasian blackbird, Turdus merula (Aves: Turdidae). Mitochondrial DNA A, 27: 4609-4610. https://doi.org/10.3109/19401736.2015.1101580

Perna, N.T. and Kocher, T.D., 1995. Patterns of nucleotide composition at fourfold degenerate sites of animal mitochondrial genomes. J. mol. Evol., 41: 353-358. https://doi.org/10.1007/BF01215182

Posada, D., 2008. Jmodeltest: Phylogenetic model averaging. Mol. Biol. Evol., 25: 1253-1256. https://doi.org/10.1093/molbev/msn083

Posada, D. and Buckley, T.R., 2004. Model selection and model averaging in phylogenetics: Advantages of akaike information criterion and bayesian approaches over likelihood ratio. Tests. Syst. Biol., 53: 793-808. https://doi.org/10.1080/10635150490522304

Powell, A.F., Barker, F.K. and Lanyon, S.M., 2013. Empirical evaluation of partitioning schemes for phylogenetic analyses of mitogenomic data: An avian case study. Mol. Phylogenet. Evol., 66: 69-79. https://doi.org/10.1016/j.ympev.2012.09.006

Raikow, R.J., 1986. Why are there so many kinds of passerine birds? Syst. Zool., 35: 255-259. https://doi.org/10.1093/sysbio/35.2.255

Randi, E. and Lucchini, V., 1998. Organization and evolution of the mitochondrial DNA control region in the avian genus Alectoris. J. mol. Evol., 47: 449-462. https://doi.org/10.1007/PL00006402

Ritchie, P. and Lambert, D., 2000. A repeat complex in the mitochondrial control region of Adélie penguins from Antarctica. Genome, 43: 613-618. https://doi.org/10.1139/g00-018

Rong, Y., Wu, X.B., Peng, Y., Su, X. and Yang, B., 2010. Complete mitochondrial genome of Otis tarda (Gruiformes: Otididae) and phylogeny of Gruiformes inferred from mitochondrial DNA sequences. Mol. Biol. Rep., 37: 3057. https://doi.org/10.1007/s11033-009-9878-7

Ryu, S.H. and Hwang, U.W., 2012. Complete mitochondrial genome of Saunders’s gull Chroicocephalus saundersi (Charadriiformes, Laridae). Mitochondrial DNA, 23: 134-136. https://doi.org/10.3109/19401736.2012.660927

Sambrock, J. and Russel, D., 2001. Molecular cloning: A laboratory manual, 3rd ed. Cold Spring Harbor Laboratory Press, U.S.

Sangster, G., Alström, P., Forsmark, E. and Olsson, U., 2010. Multi-locus phylogenetic analysis of old world chats and flycatchers reveals extensive paraphyly at family, subfamily and genus level (Aves: Muscicapidae). Mol. Phylogenet. Evol., 57: 380-392. https://doi.org/10.1016/j.ympev.2010.07.008

Sbisa, E., Tanzariello, F., Reyes, A., Pesole, G. and Saccone, C., 1997. Mammalian mitochondrial D-loop region structural analysis: identification of new conserved sequences and their functional and evolutionary implications. Gene, 205: 125-140. https://doi.org/10.1016/S0378-1119(97)00404-6

Seutin, G. and Bermingham, E., 1997. Rhodinocichla rosea is an emberizid (Aves; Passeriformes) based on mitochondrial DNA analyses. Mol. Phylogenet. Evol., 8: 260-274. https://doi.org/10.1006/mpev.1997.0426

Sheldon, F.H. and Gill, F.B.A., 1996. Reconsideration of songbird phylogeny, with emphasis on the evolution of titmice and their sylvioid relatives. Syst. Biol., 45: 473-495. https://doi.org/10.1093/sysbio/45.4.473

Shepherd, L.D. and Lambert, D.M., 2007. The relationships and origins of the New Zealand wattlebirds (Passeriformes, Callaeatidae) from DNA sequence analyses. Mol. Phylogenet. Evol., 43: 480-492. https://doi.org/10.1016/j.ympev.2006.12.008

Sibley, C.G. and Ahlquist, J.E., 1992. Phylogeny and classification of birds: a study in molecular evolution. Q. Rev. Biol., 67: 62-63. https://doi.org/10.1086/417486

Simon, C. and Frati, F., 1994. Evolution, weighting, and phylogenetic utility of mitochondrial gene sequences and a compilation of conserved polymerase chain reaction primers. Annls entomol. Soc. Am., 87: 651-701. https://doi.org/10.1093/aesa/87.6.651

Song, S.N., Tang, P., Wei, S.J. and Chen, X., 2016. Comparative and phylogenetic analysis of the mitochondrial genomes in basal hymenopterans. Sci. Rep., 6: 20972. https://doi.org/10.1038/srep20972

Stewart, J.B. and Bckenbach, A.T., 2005. Insect mitochondrial genomics: The complete mitochondrial genome sequence of the meadow spittlebug Philaenus spumarius (Hemiptera: Auchenorrhyncha: Cercopoidae). Genome, 48: 46-54. https://doi.org/10.1139/g04-090

Tamura, K., Stecher, G., Peterson, D., Filipski, A. and Kumar, S., 2013. MEGA6: Molecular evolutionary genetics analysis version 6.0. Mol. Biol. Evol., 30: 2725-2729. https://doi.org/10.1093/molbev/mst197

Treplin, S., Siegert, R., Bleidorn, C., Thompson, H.S., Fotso, R. and Tiedemann, R., 2008. Molecular phylogeny of songbirds (Aves: Passeriformes) and the relative utility of common nuclear marker loci. Cladistic, 24: 328-349. https://doi.org/10.1111/j.1096-0031.2007.00178.x

Varani, G. and Mcclain, W.H., 2000. The G x U wobble base pair. A fundamental building block of RNA structure crucial to RNA function in diverse biological systems. EMBO Rep., 1: 18. https://doi.org/10.1093/embo-reports/kvd001

Velez-Zuazo, X. and Agnarsson, I., 2011. Shark tales: A molecular species-level phylogeny of 367 sharks (Selachimorpha, Chondrichthyes). Mol. Phylogenet. Evol., 58: 207-217. https://doi.org/10.1016/j.ympev.2010.11.018

Walberg, M.W. and Clayton, D.A., 1981. Sequence and properties of the human KB cell and mouse L cell D-loop regions of mitochondrial DNA. Nucl. Acids Res., 9: 5411-5421. https://doi.org/10.1093/nar/9.20.5411

Wang, L. and Yin, W., 2016. Distribution and characteristics of blackbird in urban green space of Guangzhou. Anhui agric. Sci., pp. 18-19.

Wolstenholme, D.R., 1992. Animal mitochondrial DNA: Structure and evolution. Int. Rev. Cytol., 141: 173. https://doi.org/10.1016/S0074-7696(08)62066-5

Xu, H., Xiong, W., Yao, Y., Ni, Q. and Pan, Y., 2010. Phylogenetic evolution of birds in the subfamily of thrush based on mitochondrial CoI gene. J. Northeast For. Univ., 38: 75-78.

Yan, L., Zhang, H.B., Yan, P. and Wu, X.B., 2016. The complete mitochondrial genome of Turdus hortulorum (Passeriformes, Turdidae). Mitochondrial DNA A, 27: 543-544. https://doi.org/10.3109/19401736.2014.905849

Yokobori, S. and Pääbo, S., 1995. Transfer RNA editing in land snail mitochondria. Proc. natl. Acad. Sci. USA., 92: 10432-10435. https://doi.org/10.1073/pnas.92.22.10432

Yong, H.S., Song, S.L., Lim, P.E., Chan, K.G., Chow, W.L. and Eamsobhana, P., 2015. Complete mitochondrial genome of Bactrocera arecae (Insecta: Tephritidae) by next-generation sequencing and molecular phylogeny of Dacini tribe. Sci. Rep., 5: 15155. https://doi.org/10.1038/srep15155

Yoon, K.B., Cho, C.U. and Park, Y.C., 2015. The mitochondrial genome of the Saunders’s gull Chroicocephalus saundersi (Charadriiformes: Laridae) and a higher phylogeny of shorebirds (Charadriiformes). Gene, 572: 227-236. https://doi.org/10.1016/j.gene.2015.07.022

Yoon, K.B., Kim, H.R., Kim, J.Y., Jeon, S.H. and Park, Y.C., 2013. The complete mitochondrial genome of the Ussurian tube-nosed bat Murina ussuriensis (Chiroptera: Vespertilionidae) in Korea. Mitochondrial DNA, 24: 397-399. https://doi.org/10.3109/19401736.2013.763243

Zhang, H., Bai, Y., Shi, X., Sun, L., Wang, Z. and Wu, X., 2018. The complete mitochondrial genomes of Tarsiger cyanurus and Phoenicurus auroreus: A phylogenetic analysis of Passeriformes. Genes Genom, 40: 1-15. https://doi.org/10.1007/s13258-017-0617-5

Zhao, S., Ma, Y., Wang, G., Li, H., Liu, X., Yu, J., Yue, B. and Zou, F., 2012. Molecular phylogeny of major lineages of the avian family Phasianidae inferred from complete mitochondrial genome sequences. J. nat. Hist., 46: 757-767. https://doi.org/10.1080/00222933.2011.653588

Zheng, G.M., 2018. A checklist on the classification and distribution of the birds of China (3rd editon). Science Press, Beijing.

Zhou, L.Z., Song, Y. and Ma, Y., 2001. The breeding ecology of Blackbird. J. Ecol., 20: 32-34.

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