Literature DB >> 34149293

The mitochondrial genome and phylogenetic characteristics of the Thick-billed Green-Pigeon, Treron curvirostra: the first sequence for the genus.

Nan Xu1, Jiayu Ding1, Ziting Que1, Wei Xu1, Wentao Ye1, Hongyi Liu1.   

Abstract

Members of the genus Treron (Columbidae) are widely distributed in southern Asia and the Indo-Malayan Region but their relationships are poorly understood. Better knowledge of the systematic status of this genus may help studies of historical biogeography and taxonomy. The complete mitochondrial genome of T. curvirostra was characterized, a first for the genus. It is 17,414 base pairs in length, containing two rRNAs, 22 tRNAs, 13 protein coding genes (PCGs), and one D-loop with a primary structure that is similar to that found in most members of Columbidae. Most PCGs start with the common ATG codon but are terminated by different codons. The highest value of the Ka/Ks ratio within 13 PCGs was found in ATP8 with 0.1937, suggesting that PCGs of the mitochondrial genome tend to be conservative in Columbidae. Moreover, the phylogenetic relationships within Columbidae, which was based on sequences of 13 PCGs, showed that (T. curvirostra + Hemiphaga novaeseelandiae) were clustered in one clade, suggesting a potentially close relationship between Treron and Hemiphaga. However, the monophyly of the subfamilies of Columbidae recognized by the Interagency Taxonomic Information System could not be corroborated. Hence, the position of the genus Treron in the classification of Columbidae may have to be revised. Nan Xu, Jiayu Ding, Ziting Que, Wei Xu, Wentao Ye, Hongyi Liu.

Entities:  

Keywords:  Columbidae ; Ka/Ks ratio; genome sequencing; mitochondrial DNA; phylogenetic tree

Year:  2021        PMID: 34149293      PMCID: PMC8190031          DOI: 10.3897/zookeys.1041.60150

Source DB:  PubMed          Journal:  Zookeys        ISSN: 1313-2970            Impact factor:   1.546


Introduction

Mitochondrial DNA sequences can be reliable markers for studying the origin and phylogenetic relationships of species owing to its fast evolution rate, simple structure, light molecular weight, and maternal inheritance (Nabholz et al. 2016; Martins et al. 2019). Mitochondrial genomes of birds have a closed loop structure with lengths of 15,500–23,000 base pairs (bp) (Sammler et al. 2011; Xu et al. 2019; Wang et al. 2020). They typically contain 13 protein coding genes (PCGs), 22 transfer RNA genes (tRNAs), two ribosomal RNA genes (rRNAs), and one D-loop (Bensch and Härlid 2000; Sun et al. 2020), while some species were found to have duplicate regions (Eberhard and Wright 2016). The pigeons and doves (family ) are widely distributed on all continents except Antarctica, ranging from tropical to temperate regions (Gibbs et al. 2001). The number of subfamilies of differs among taxonomic authorities. Dickinson and Remsen (2013) recognize three subfamilies (, Peristerinae, and Raphinae), whereas the Interagency Taxonomic Information System (ITIS) recognizes five subfamilies (, , , , and ), as well as 49 genera and more than 300 extant species (Integrated Taxonomic Information System 2020). All species of green-pigeons () are listed as second-class national protected animals under China’s Catalog of Wildlife of the Key State Protection. Most species in the genus are declining (Birdlife International 2018); however, only a few genetic resources are available for the genus (e.g., Sorenson et al. 2003; Pereira et al. 2007; Hackett et al. 2008; Price et al. 2014; Claramunt and Cracraft 2015). The Thick-billed Green-Pigeon (Gmelin, 1789) is mainly distributed in virgin, evergreen, broad-leaved, and secondary forests of the tropical and subtropical hilly zone in Southeast Asia and South Asia (Gibbs et al. 2001). Like most species of , feeds on seeds and fruits (Korzun et al. 2008). Members of this species have a medium-sized body and a colorful plumage (Korzun et al. 2008) distinguished by their grey head and green neck. The lower body is yellowish green, while the wing is nearly black, with a yellow feather margin and a distinct yellow wing spot. The central tail feathers are green, while the remaining feathers are gray with black secondary end spots (Korzun et al. 2008; Nair 2010). At present, only few studies have focused on : Nair (2010) discussed the zoogeography. To understand the systematic position of the genus among , we sequenced and characterized the first complete mitochondrial genome sequence of . We compared the complete mitochondrial genome of with that of 33 other pigeons and doves and determined its genetic structural characteristics. In addition, we used 13 protein-coding genes (PCGs) to reconstruct a phylogenetic tree, which we use to infer the taxonomic position of the species and illuminate the phylogenetic relationships among species of .

Materials and methods

Sample collection and DNA extraction

This study was authorized by Nanjing Forestry University. The youngest tail feathers of a male Thick-billed Green-Pigeon were collected from an individual rescued from a net that was used to prevent birds from stealing fruit at the Xieyang peak of Dali City, Yunnan Province, China. The bird was identified as based on its morphological characters (Gibbs et al. 2001). After sample collection, the bird was released. The tail feather samples were transported to the Laboratory of Animal Molecular Evolution at the Nanjing Forestry University and stored at -80 °C. The tubules were cut and the pulp was removed for genomic DNA extraction using the FastPure Cell/Tissue Isolation Mini kit (Vazyme Biotechnology Co., Ltd., Nanjing, China) and stored at -20 °C for later use.

PCR amplification and sequencing

Primers were designed based on the mitochondrial gene sequences of , , and (GenBank accession numbers KY827036, EU725864, and MN919176,respectively) using DNASTAR software (DNASTAR, USA; Burland 2000). Primer sequences are listed in Table 1. The PCR reaction volume was 25 μL, which included 1 μL of template DNA, 12.5 μL of the 2×Rapid Taq Master Mix (Vazyme Biotech Co., Ltd, Nanjing, China), 1 μL per primer, and 9.5 μL double-distilled (dd)H2O. The PCR reaction procedure consisted of a pre-denaturation at 95 °C for 3 min, a denaturation at 95 °C for 15 s, an annealing at 50 °C to 60 °C for 15 s, which was adjusted according to the primers’ own conditions, an extension at 72 °C for 2 min, cycling 35 times, and a final extension at 72 °C for 5 min. The PCR products were detected by a 1% agarose gel electrophoresis, and then sent to Tsingke Biotech Co., Ltd. (Nanjing, China), where the original primers were used for the bidirectional sequencing.
Table 1.

Primers used for amplification of the mitogenome.

FragmentRegionPrimer pairPrimer sequence (5' - 3')
DG 1COI-COIIDG 1FCACTCAGCCATCTTACCT
DG 1RACAGATTTCTGAGCATTGGC
DG 2COII-ND4DG 2FCCAATCCGCATCATCGTC
DG 2RGGTTTCCTCATCGTGTGA
DG 3ND4-ND5DG 3FCAGCCTCCTAATTGCCAC
DG 3RGTAGGGCGGAGACTGGAG
DG 4ND5-Cyt bDG 4FACAGGGCCGAGCAGAAGC
DG 4RTAGGAAGTATCACTCTGG
DG 5Cyt b-12S rRNADG 5FGCAGGCCTCACCATTATCC
DG 5RGTTAATTACTGCTGAGTACC
DG 612S rRNA-16S rRNADG 6FGCTGGCATCAGGCACGCC
DG 6RTGGGTCTGGTTACTGTTA
DG 716S rRNA-ND2DG 7FCGGTTGGGGCGACCTTGGAG
DG 7RAGAGTGGGAGGAGTAGGGC
DG 8ND2-COIDG 8FAGCAGCCACAATCATGGC
DG 8RATAGATTTGGTCATCTCC
Primers used for amplification of the mitogenome.

Sequence analysis

By comparing and identifying the DNA sequence of each mitochondrial gene in other pigeon families, the range and location of ’s mitochondrial genes were annotated. Hence, the complete mitochondrial genome sequence was used to predict the transcriptional direction of each gene component using the Improved de novo Metazoan Mitochondrial Genome Annotation (MITOS) platform (Bernt et al. 2013). The annotated mitochondrial genome sequence of was submitted to GenBank (accession number MT535857). The mitochondrial ring structure was plotted, and 22 tRNA clover two-dimensional structures were predicted using programs, such as the comparative genomics (CG) View Server and the tRNAscan-Se (Stothard and Wishart 2005; Lowe and Chan 2016). Composition skew was calculated according to the following formulae: AT-skew = (A-T)/(A+T) and GC-skew = (G-C)/(G+C) (Perna and Kocher 1995). Moreover, the relative synonymous codon usage (RSCU) frequency and the ratio of the number of nonsynonymous substitutions per nonsynonymous site to the number of synonymous substitutions per synonymous site (Ka/Ks) of 13 PCGs of were calculated using MEGA7 (Kumar et al. 2016), while the RSCU comparison graph was drawn by PhyloSuite (Zhang et al. 2020).

Phylogenetic analysis

We used a concatenated set of base sequences of the 13 PCGs from 34 pigeons and doves to investigate the phylogenetic position of (Table 2). Yellow-throated Sandgrouse ( Smith, 1836) was used as an outgroup. All operations were performed in the PhyloSuite software package (Zhang et al. 2020). The sequences were aligned in batches using MAFFT software (Katoh et al. 2002). ModelFinder was used to partition the codons and identify the best substitution model for the phylogenetic analyses (Kalyaanamoorthy et al. 2017). Phylogenetic trees were constructed with Bayesian inference (BI) and maximum-likelihood (ML) (Yang 1994; Huelsenbeck and Ronquist 2001). The best substitution model of BI was selected according to codon 1, 2 and 3, while the model of ML was determined by the automatic partitioning (Table 3). For the BI tree, Markov chains were run for one million generations and were sampled every 100 generations. The majority-rule consensus trees were estimated by combining the results from duplicated analyses, while discarding the first 25% of generations. Besides, we checked for nuclear copies of mitochondrial sequences (numts) and possible chimerism (Sangster et al. 2016; Sangster and Luksenburg 2020).
Table 2.

Summary of the mitogenomes used in the analyses.

FamilySubfamilyGenusSpeciesAccession
Columbidae Columbinae Geopelia Geopelia cuneata MN930521.1
Geopelia striata MG590276.1
Trugon Trugon terrestris MG590263.1
Caloenas Caloenas maculata KX902249.1
Caloenas nicobarica MG590264.1
Streptopelia Streptopelia tranquebarica MT535858
Streptopelia orientalis KY827037.1
Streptopelia decaocto KY827036.1
Streptopelia chinensis KP273832.1
Columba Columba hodgsonii MN919176.1
Columba janthina LC541479.1
Columba jouyi KX902247.1
Columba livia KP319029.1
Columba rupestris KX902246.1
Ectopistes Ectopistes migratorius KC489473.1
Patagioenas Patagioenas fasciata KX902240.1
Leptotila Leptotila verreauxi HM640214.1
Zenaida Zenaida macroura KX902235.1
Zenaida auriculata HM640211.1
Geotrygon Geotrygon violacea HM640213.1
Turtur Turtur tympanistria HM746793.1
Columbina Columbina picui MN356335.1
Chalcophaps Chalcophaps indica HM746789.1
Treroninae Alopecoenas Alopecoenas salamonis KX902250.1
Hemiphaga Hemiphaga novaeseelandiae EU725864.1
Gourinae Goura Goura cristata MG590273.1
Goura sclaterii MG590285.1
Goura scheepmakeri MG590282.1
Goura victoria MG590299.1
Pezophaps Pezophaps solitaria KX902238.1
Raphus Raphus cucullatus KX902236.1
Otidiphabinae Otidiphaps Otidiphaps nobilis MG590265.1
Didunculinae Didunculus Didunculus strigirostris MG590266.1
Pteroclidae Pterocles Pterocles gutturalis MN356147.1
Table 3.

The best substitution models for Bayesian inference (BI) and maximum-likelihood (ML) analyses.

ND1 ND2 COI COII ATP6 ATP8 COIII ND3 ND4L ND4 ND5 Cyt b ND6
BI Codon 1SYM + I + G4GTR + F + I + G4SYM + I + G4SYM + I + G4GTR + F + I + G4GTR + F + G4SYM + I + G4SYM + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4SYM + I + G4GTR + F + G4
Codon 2GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4HKY + F + I + G4
Codon 3GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + I + G4GTR + F + G4
ML TVM + F + R4TVM + F + R4TIM2 + F + I + G4TIM2 + F + I + G4TVM + F + R4TN + F + I + G4TIM2 + F + I + G4TIM2 + F + I + G4TIM2 + F + I + G4TVM + F + R4TVM + F + R4TIM2 + F + I + G4TIM2 + F + I + G4
Summary of the mitogenomes used in the analyses. The best substitution models for Bayesian inference (BI) and maximum-likelihood (ML) analyses.

Results and discussion

Mitochondrial genome structure and organization

The mitochondrial genome of the Thick-billed Green-Pigeon was found to be 17,414 bp in length, which agrees with the length of most of the other sequenced species of pigeons and doves (Table 4, Table 5, Table 6) (Pereira et al. 2007; Zhang et al. 2015). In addition, the base composition of was found to be A = 30.32%, G = 13.61%, T = 24.83%, and C = 31.24%), where the A+T content (55.15%) was higher than the G+C content (44.85%) and is similar to other birds in (Table 5 and Table 6) (Huang et al. 2016; Jang et al. 2016) . Moreover, the genome had a closed circular ring structure, containing 22 tRNAs, 2 rRNAs, 13 PCGs, and one D-loop. The ND6 gene and the other 8 tRNAs (tRNA-Gln, tRNA-Ala, tRNA-Asn, tRNA-Cys, tRNA-Tyr, tRNA-Ser (UGA), tRNA-Pro, and tRNA-Glu) were transcribed from the light (L)-strand, while the other genes were transcribed from the heavy (H)-strand (Fig. 1, Table 4). In addition, two pairs of overlapping regions among the ATP6/COIII and ND4L/ND4 were found, with an overlapping region of ATP6/COIII being one bp and the overlapping region of ND4L/ND4 being seven bp. Furthermore, 18 intergenic spacers were observed between the mitochondrial regions with lengths between -7 and 17 bp. Among all these intergenic spacers, the shortest was -7 bp (found between ND4L and ND4), while the longest was 17 bp (found between ND1 and tRNA-Ile).
Table 4.

Mitochondrial genetic composition of .

GeneStrandPositionAnticodonSize (bp)Start codonIntergenic length
tRNA-PheH1–68GAA680
12S rRNAH69–10419730
tRNA-ValH1042–1114UAC730
16S rRNAH1115–270315890
tRNA-LeuH2704–2777UAA7412
ND1 H2790–3755966ATGAGA17
tRNA-IleH3773–3844GAU725
tRNA-GlnL3850–3920UUG710
tRNA-MetH3921–3988CAU680
ND2 H3989–50271039ATGT0
tRNA-TrpH5028–5098UCA711
tRNA-AlaL5100–5168UGC692
tRNA-AsnL5171–5243GUU732
tRNA-CysL5246–5313GCA680
tRNA-TyrL5314–5384GUA711
COI H5386–69361551ATGAGG0
tRNA-SerL6937–7001UGA652
tRNA-AspH7004–7072GUC691
COII H7074–7757684ATGTAA1
tRNA-LysH7759–7828UUU701
ATP8 H7830–7997168ATGTAA0
ATP6 H7988–8671684ATGTAA-1
COIII H8671–9454784ATGT0
tRNA-GlyH9455–9523UCC690
ND3 H9524–9875352ATTTAA1
tRNA-ArgH9877–9945UCG691
ND4LH9947–10243297ATGTAA-7
ND4 H10237–116141378ATGT0
tRNA-HisH11615–11683GUG690
tRNA-SerH11684–11749GCU660
tRNA-LeuH11750–11819UAG700
ND5 H11820–136371818ATGAGA8
Cyt b H13646–147881143ATGTAA0
tRNA-ThrH14789–14856UGU686
tRNA-ProL14863–14932UGG704
ND6 L14937–15458522ATGTAG3
tRNA-GluL15462–15532UUC710
D-loop15553–1741418620
Table 5.

Composition and skewness in mitochondrial genome of .

RegionA%T%AT-skewG%C%GC-skew
whole mitogenome30.3224.830.10013.6131.24-0.393
PCGs 29.4624.560.09112.2333.76-0.468
rRNAs 32.7521.190.21419.0527.01-0.173
tRNAs 32.3325.160.12516.9525.55-0.203
D-loop30.4531.31-0.01411.9226.32-0.376
Table 6.

Nucleotide composition indices in different regions of mitogenomes of .

SpeciesGenBank noWhole mitogenomeProtein coding genesRibosomal RNA
Length (bp)AT (%)Length (bp)AT (%)Length (bp)AT (%)
Goura sclaterii MG590285.1 1824254.131138652.99257153.21
Treron curvirostra MT535857 1741455.161138654.02256253.94
Columba hodgsonii MN919176.1 1747754.551138553.82255753.23
Trugon terrestris MG590263.1 1740555.621139554.94256955.86
Didunculus strigirostris MG590266.1 1738954.941139054.32256955
Geopelia striata MG590276.1 1735454.831138353.78256554.07
Otidiphaps nobilis MG590265.1 1734655.831138255.2258154.75
Hemiphaga novaeseelandiae EU725864.1 1726454.891138654.1257554.52
Caloenas nicobarica MG590264.1 1717855.131138654.83256753.64
Leptotila verreauxi HM640214.1 1717654.11138353.34255653.4
Alopecoenas salamonis KX902250.1 1714155.181138154.78256954.81
Streptopelia orientalis KY827037.1 1710253.411138652.86256153.58
Raphus cucullatus KX902236.1 1709256.081138555.87256654.6
Ectopistes migratorius KC489473.1 1702654.521138354.3259652.97
Patagioenas fasciata KX902239.1 1697054.511138454.02255053.8
Geotrygon violacea HM640213.1 1686455.041138354.27256153.85
Zenaida auriculata HM640211.1 1678153.291138052.71256752.83
Figure 1.

Circular map of the mitochondrial genome.

Mitochondrial genetic composition of . Circular map of the mitochondrial genome.

The PCGs

The total length of the PCGs was 11,386 bp, which is consistent with the average length of PCGs found in (Table 5). The base composition of PCGs was A = 29.46%, G = 12.23%, T = 24.56%, and C = 33.76%, while the A+T content (54.01%) was slightly higher than the G+C content (45.99%). The AT-skew of was positive, while the GC-skew was negative (Table 5). Furthermore, the PCG regions of contained genes coding for cytochrome b (Cyt b), two ATPases (ATP6 and ATP8), three cytochrome c oxidases (COI, COII, and COIII), and seven NADH dehydrogenases (ND1-6 and ND4L). With the exception of ND3 (which had ATT as its start codon), all the other PCGs had ATG as a start codon. Six PCGs had the complete stop codon of TAA, while four PCGs had the other complete stop codons of AGA (ND1 and ND5), AGG (COI), and TAG (ND6). ND2, ND4, and COIII had the incomplete stop codon of T (Table 4). The RSCU of is illustrated in Fig. 2, where Leu1 had the highest concentration and Cys had the lowest. In addition, Met only had AUG, while the other seven regions had four codons. With as a baseline, the Ka/Ks ratio (Hurst 2002) of the 13 PCGs in 17 species of doves were all less than 1, with the highest Ka/Ks ratio (0.1937) in ATP8 and the lowest ratio (0.0243) in COI (Fig. 3). Hence, it seems that evolution tended to be conservative and maintained the generated protein (Hanada et al. 2007).
Figure 2.

Codon distribution and relative synonymous codon usage in mitogenome.

Figure 3.

The ratio of the number of nonsynonymous substitutions per nonsynonymous site to the number of synonymous substitutions per synonymous site of 13 PCGs among 17 species of pigeons and doves. was set as a baseline.

Composition and skewness in mitochondrial genome of . Nucleotide composition indices in different regions of mitogenomes of . Codon distribution and relative synonymous codon usage in mitogenome. The ratio of the number of nonsynonymous substitutions per nonsynonymous site to the number of synonymous substitutions per synonymous site of 13 PCGs among 17 species of pigeons and doves. was set as a baseline.

Transfer RNAs, ribosomal RNAs, and the D-loop

The mitogenome of contained 22 tRNAs with lengths ranging from 65 bp (tRNA-Ser (UGA)) to 74 bp (tRNA-Leu (UAA)), which is similar to that in the mitogenomes of other pigeons and doves (Zhang et al. 2015). Moreover, the total length of the tRNAs was 1,534 bp, with an A+T content of 57.50%, a G+C content of 42.50%, an AT-skew of 0.1247, and a GC-skew of -0.2025 (Table 5). Among all the secondary structures of the 22 tRNA genes from the mitochondrial genome, with the exception of tRNA-Ser (GCU), all had a typical cloverleaf structure (Fig. 4).
Figure 4.

Secondary structure of 22 tRNA genes from the mitochondrial genome.

Secondary structure of 22 tRNA genes from the mitochondrial genome. The total size of the two rRNAs was 2,562 bp, with an A+T content of 53.94%, an AT-skew of 0.2142, and a GC-skew of -0.1729 (Table 5). The 12S rRNA was 973 bp in length and was located between tRNA-Phe and tRNA-Val, while the 16S rRNA was 1,589 bp in length and was located between tRNA-Val and tRNA-Leu (UAA). A D-loop was found between tRNA-Glu and tRNA-Phe, and was 1,862 bp in length, with a A+T content of 61.76%, an AT-skew of -0.0139, and a GC-skew of -0.3764 (Table 5). Duplication and rearrangement of the avian mitochondrial genomes is common, but had only one D-loop, which is similar to that present in other known mitogenomes of (Pacheco et al. 2011; Eberhard and Wright 2016; Bruxaux et al. 2018). Although the topology of ML tree and BI tree were similar to each other, they differed with respect to the phylogenetic position of . clustered with (Gmelin, 1789) in the BI tree, whereas it did not cluster with any species in the ML tree (Fig. 5). Therefore, we tested for the presence of the numts and chimerism. All these tests were negative, indicating the validity of mitogenome. The phylogenetic trees also highlighted the stable relationships among the same genera within , which was consistent with previous studies from analyses of mitochondrial and nuclear genes (Kan et al. 2010; Pacheco et al. 2011; Hung et al. 2013; Mlíkovský 2016; Soares et al. 2016; Kretschmer et al. 2020; Liu et al. 2020) (Fig. 5). However, the phylogenetic analysis did not support the arrangement of pigeons into five subfamilies (, , , , and ) as recognized by ITIS. , , and (which were placed in by ITIS) clustered with species from other subfamilies in our phylogenies (Fig, 5). The most likely cause might be that the original classification system was based mainly on patterns of overall similarity in morphology which may not accurately reflect phylogenetic relationships. Similar contradictions between overall similarity and phylogeny have also been found in other groups of birds, including terns (Bridge et al. 2005), rails (Sangster et al. 2015), nightjars (Han et al. 2010), eagles (Lerner and Mindell 2005), laughing thrushes (Luo et al. 2008), and chats and flycatchers (Sangster et al. 2010). Our results indicate that the subfamily classification of may not accurately reflect historical relationships and may need to be revised. However, the poor branch support of basal clades of precludes such a revision at present. Clearly, future attempts to resolve the phylogeny of with confidence should include a suitable set of nuclear markers.
Figure 5.

Mitogenomic phylogeny of 34 species and an outgroup () based on 13 PCGs using the Bayesian inference (A) and maximum likelihood (B) methods. Different colors indicated different subfamilies.

Mitogenomic phylogeny of 34 species and an outgroup () based on 13 PCGs using the Bayesian inference (A) and maximum likelihood (B) methods. Different colors indicated different subfamilies.
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