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. 2021 Oct 25;9:e69196. doi: 10.3897/BDJ.9.e69196

The complete mitogenome of Curculiochinensis (Chevrolat, 1878) (Coleoptera: Curculionidae: Curculioninae)

Kai Hu 1, Nian-nian Zhang 1, Zai-Hua Yang 1,
PMCID: PMC8560736  PMID: 34759727

Abstract

The mitogenome of Curculiochinensis (Chevrolat, 1878) was sequenced and annotated to better identify C.chinensis and related species. The mitogenome is 18,680 bp in length, includes the 37 typical mitochondrial genes (13 protein-coding genes, two ribosomal RNA genes and 22 transfer RNA genes) and two control regions (total length: 3,879 bp). Mitogenome organisation, nucleotide composition and codon usage are similar to the previously sequenced Curculio mitogenomes. All 13 protein-coding genes use ATN or TTG as start codon and end with TAA/G or incomplete stop codons (single T-). Twenty-one transfer RNA genes have the typical clover-leaf structure, while the dihydrouridine (DHU) arm of trnS1 is missing. In Curculio mitogenomes, the size of the control region is highly variable. Both ML and BI analyses, based on the 13 PCGs and two rRNAs from six species of Curculioninae, strongly supported the monophyly of Curculio. In Curculio, the relationships amongst included species were inferred as ((C.chinensis + Curculio. sp.) + (Curculiodavidi + Curculioelephas)), with C.chinensis and C. sp. forming a clade (BS = 100; PP = 1).

Keywords: mitochondrial genome, camellia weevil, phylogenetic analysis, secondary structure

Introduction

The typical mitogenome of insects is a circular double-stranded DNA molecule with 15-18 kb in length, encoding 13 protein-coding genes (PCGs), two ribosomal RNA genes (rRNAs), 22 transfer RNA genes (tRNAs) and also includes a large non-coding region (control region) (Boore 1999, Cameron 2014). In insects, the mitogenome has been widely used as a molecular marker to explore population genetics, phylogeny and evolution (Fenn et al. 2008, Galtier et al. 2009, Cameron 2014).

The camellia weevil, Curculiochinensis (Chevrolat, 1878) is widely distributed in most of China's Camellia spp. (family Theaceae) producing areas (Li et al. 2015). It is one of the most serious pests of tea and causes huge economic losses (Li et al. 2015). Since different species exhibit distinct responses to specific biocontrol agents and pesticides, accurate species identification is very important in pest management (Zhou et al. 2020). However, the camellia weevil is often difficult to identify using morphological characteristics of the larvae. It is impractical to identify camellia weevil by rearing larvae to adults because the larvae are long-lived and difficult to rear when removed from the seed (Shu et al. 2013, He et al. 2014). Molecular identification has proven to be reliable and effective for species-level identification of insects at any life stage (Chen et al. 2016).

In this study, we sequenced and annotated the mitogenome of C.chinensis and analysed its characteristics. In addition, we reconstructed the molecular phylogenetic relationships of C.chinensis and other species of the genus Curculio. The molecular data presented here will be useful for studies on identification and evolution in C.chinensis and related species.

Materials and methods

Sample collection and DNA extraction

Adult specimens of C.chinensis were collected from Camellia spp. in Yunguanshan Forest Farm, Guiyang City, Guizhou Province, China (26.48208727°N, 106.75480714°E, July 2020) (C.chinensis is a host-specifc predator of the seeds of Camellia spp.). All fresh specimens were preserved in 100% ethyl alcohol and deposited in a -20℃ freezer at the laboratory of Guizhou Academy of Forestry, Guiyang. Identification of adult specimens was based on morphological characteristics (Chao and Chen 1980). Whole genomic DNA was extracted from thorax muscle tissues using the Biospin Insect Genomic DNA Extraction Kit (BioFlux) following the manufacturer's instructions. Voucher specimens are stored in the insect collection of Guizhou Academy of Forestry.

Mitogenome sequencing, assembly, annotation and bioinformatic analyses

The complete mitogenome of C.chinensis was sequenced using NGS (next-generation sequencing) (Illumina HiSeq X10; Biomarker Technologies Corporation, Beijing, China). About 1.26 Gb clean data were assembled into a complete circular mitogenome by NOVOPlasty v.2.7.0 (Dierckxsens et al. 2016) using the COX1 sequence of Curculiodavidi Fairmaire, 1878 (GenBank accession: NC_034293) (Xu et al. 2017) as an initial seed. The mitogenome was annotated using MITOZ v.1.04 (Meng et al. 2019) and checked manually in Geneious v.8.1.3 (Biomatters, Auckland, New Zealand). The tRNA secondary structures were manually drawn using Adobe Illustrator CC2017, based on the MITOS Web Server (Bernt et al. 2013) predictions. The mitogenome map was drawn with the programme Organellar Genome DRAW (OGDRAW) (Lohse et al. 2013). Bioinformatic analyses, including nucleotide composition, composition skew, codon usage of PCGs, relative synonymous codon usage (RSCU) and mitogenomic organisation tables were conducted using PhyloSuite v.1.2.2 (Zhang et al. 2019).

Molecular phylogenetic analysis

A total of six mitogenomes from two genera of Curculioninae were used for the phylogenetic analyses (Table 1). We used as much mitogenome data for the genus Curculio in NCBI as possible. Of these, four species belong to Curculio (the ingroup), while the remaining two species from the genus Anthonomus Germar, 1817 were chosen as outgroup. Nucleotide sequences (without stop codons) for the 13 PCGs were aligned using MAFFT v.7 (Katoh and Standley 2013) with the G-INS-i (accurate) strategy and codon alignment mode (Code table: Invertebrate mitochondrial genetic codon). The rRNAs genes (rrnL and rrnS) were aligned using MAFFT v.7 (Katoh and Standley 2013) with the Q-INS-I algorithm (which takes account of the secondary structure of rRNA genes). Ambiguously aligned areas were removed using Gblocks v.0.91b (Talavera and Castresana 2007), respectively. Gene alignments were concatenated using PhyloSuite v.1.2.2 (Zhang et al. 2019). Partitioning scheme and nucleotide substitution models for Maximum Likelihood (ML) and Bayesian Inference (BI) phylogenetic analyses were selected with PartitionFinder2 (Lanfear et al. 2017) using the Bayesian Information Criterion (BIC) (Suppl. materials 1, 2). ML analyses were reconstructed by IQ-TREE v.1.6.3 (Nguyen et al. 2015) under the ultrafast bootstrap (UFB) approximation approach (Minh et al. 2013) with 5,000 replicates. BI analysis was performed using MrBayes v.3.2.7a (Ronquist et al. 2012) in the CIPRES Science Gateway (Miller et al. 2010) with four chains (one cold chain and three hot chains). Two independent runs of 2,000,000 generations were carried out with sampling every 1,000 generations. The first 25% of trees were discarded as burn-in. After the average standard deviation of split frequencies fell below 0.01, stationarity was assumed.

Table 1.

Mitogenomes of the six Curculioninae taxa used in this study.

Subfamily Species Accession number Reference
Curculioninae Anthonomuseugenii NC_044711 van de Vossenberg et al. 2019
Anthonomusrubi NC_044714 van de Vossenberg et al. 2019
Curculiochinensis MZ417388 This study
Curculio sp. MG728095 Unpublished
Curculiodavidi NC_034293 Xu et al. 2017
Curculioelephas KX087269 Unpublished

Results and discussion

Mitogenome organisation and nucleotide composition

The mitogenome of C.chinensis is a double-stranded circular DNA molecule, containing 37 typical mitochondrial genes (13 PCGs, 22 tRNAs and two rRNAs) and two control regions (Table 2, Fig. 1), which are common in Curculioninae mitogenomes (Narakusumo et al. 2020). The newly-sequenced mitogenome (length: 18,680 bp) is medium-sized compared to other Curculio mitogenomes (ranging from 16,852 bp Curculiodavidi, GenBank accession: NC_034293 to 19,216 bp Curculio sp., GenBank accession: MG728095) (Xu et al. 2017). Variation in the size of the control region is the main source of the length variation in Curculio mitogenomes (Fig. 2). The mitogenome of C.chinensis has the same gene order as other previously sequenced Curculio species (Xu et al. 2017). A total of 71 overlapping nucleotides were found in ten pairs of neighbouring genes, the longest overlap (23 bp) being identified between the trnL1 and rrnL. Furthermore, there are 151 intergenic nucleotides dispersed across 13 gene boundaries and the longest intergenic region (103 bp) is located between trnS2 and nad1.

Table 2.

Mitogenomic organisation of C.chinensis.

Gene name Location Size (bp) Intergenic
nucleotides
Codon Strand
From To Start Stop
trnI 1 65 65 +
CR2 66 1947 1882 +
trnQ 1948 2016 69 -
trnM 2018 2085 68 1 +
nad2 2089 3096 1008 3 ATA TAA +
trnW 3111 3174 64 14 +
trnC 3174 3239 66 -1 -
trnY 3242 3305 64 2 -
cox1 3298 4842 1545 -8 ATT TAA +
trnL2 4838 4902 65 -5 +
cox2 4903 5586 684 ATT TAA +
trnK 5588 5658 71 1 +
trnD 5661 5725 65 2 +
atp8 5726 5884 159 ATT TAA +
atp6 5881 6552 672 -4 ATA TAA +
cox3 6563 7343 781 10 ATT T +
trnG 7344 7407 64 +
nad3 7408 7761 354 ATT TAG +
trnA 7760 7826 67 -2 +
trnR 7827 7888 62 +
trnN 7887 7950 64 -2 +
trnS1 7951 8017 67 +
trnE 8025 8088 64 7 +
trnF 8089 8153 65 -
nad5 8137 9873 1737 -17 ATT TAA -
trnH 9874 9936 63 -
nad4 9937 11272 1336 ATG T -
nad4L 11266 11559 294 -7 ATG TAA -
trnT 11562 11626 65 2 +
trnP 11627 11692 66 -
nad6 11695 12198 504 2 ATT TAA +
cob 12202 13338 1137 3 ATA TAA +
trnS2 13339 13405 67 +
nad1 13509 14459 951 103 TTG TAG -
trnL1 14461 14525 65 1 -
rrnL 14503 15831 1329 -23 -
trnV 15830 15895 66 -2 -
rrnS 15896 16683 788 -
CR1 16684 18680 1997 +

Figure 1.

Figure 1.

Circular map of the mitogenome of C.chinensis. The outer circle shows the gene map of C.chinensis and the genes outside the map are coded on the major strand (J-strand), whereas the genes on the inside of the map are coded on the minor strand (N-strand). Genes are represented by different colour blocks.

Figure 2.

Figure 2.

Control regions in the four complete Curculio mitogenomes.

The nucleotide content of the Curculio mitogenomes exhibit strong AT bias: 76.9%-77.5% in the whole genome, 75.7%-76.1% in the PCGs, 76.8%-78.3% in the tRNAs, 76.9%-78.8% in the rRNAs and 78.8%-83.7% in the control region (Table 3). In every sequenced mitogenome of Curculio, PCGs have the lowest AT content, while the control region has the highest AT content (Table 3). All four Curculio mitogenomes have positive AT-skews (0.052–0.062) and negative GC-skews (−0.203 to −0.17), similar to other recently reported weevil mitogenomes (Apriyanto and Tambunan 2020, Song et al. 2020, Wang et al. 2020, Wang et al. 2021) and most other insects (Wei et al. 2010).

Table 3.

Base composition and skewness of mitogenomes of Curculiochinensis, Curculio sp., Curculiodavidi and Curculioelephas.

Feature Length A+T% AT-skew GC-skew
C.chinensis, C. sp., C.davidi and C.elephas
Whole genome 18680/19216/16852/17591 76.9/77/77.2/77.5 0.056/0.06/0.062/0.052 -0.19/-0.203/-0.185/-0.17
PCGs 11160/11091/11154/10989 76/75.7/75.9/76.1 -0.133/-0.133/-0.146/-0.145 -0.038/-0.043/-0.049/-0.055
tRNAs 1442/1444/1440/1447 76.8/77.8/76.8/78.3 0.036/0.02/0.011/0.026 0.12/0.121/0.12/0.144
rRNAs 2117/2059/2152/2084 78.8/78.3/76.9/78.3 -0.064/-0.086/-0.062/-0.063 0.345/0.348/0.315/0.307
CR1 1997/2360/2138/2128 84.2/83/83.7/85.6 -0.014/0.058/0.089/0.058 -0.478/-0.606/-0.24/-0.24
CR2 1882/2007/10/742 71.4/73.9/90/69 -0.023/-0.076/-0.333/-0.011 0.235/0.179/-1/0.139
Control region (CR1 + CR2) 3879/4367/2148/2870 78/78.8/83.7/81.3 -0.018/0/0.087/0.043 -0.028/-0.161/0.234/-0.078

Protein-coding genes

The total size of all 13 PCGs of C.chinensis is 11,160 bp, accounting for 59.74% of the entire mitogenome (Table 3). In 13 PCGs, nad2, cox1, cox2, atp8, atp6, cox3, nad3, nad5, nad4, nad4L, nad6 and cob use ATN (ATA/T/G/C) as start codon, while nad1 is initiated by TTG, which is common for Curculio mitogenomes (Xu et al. 2017). All PCGs stopped with TAA/G or their incomplete form single T-. The incomplete termination codon single T- can be completed by post-transcriptional polyadenylation (Ojala et al. 1981). The AT-skews of all PCGs amongst Curculio range from -0.146 (C.davidi) (Xu et al. 2017) to -0.133 (C.chinensis and Curculio sp.), showing a biased use for the T nucleotide. The relative synonymous codon usage (RSCU) of C.chinensis mitogenome is presented in Fig. 3, indicating Leu, Phe and Ile are the three most frequently used amino acids. In the new mitogenome, the four most frequently utilised codons are UUA-Leu, UUU-Phe, AUU-Ile and AUA-Met. The most frequently used codons are composed of A nucleotide or U nucleotide, which reflects the high AT content of PCGs.

Figure 3.

Figure 3.

Relative synonymous codon usage (RSCU) of the mitogenome of C.chinensis. The stop codon is not shown.

Transfer and ribosomal RNA genes

The typical sets of 22 tRNAs were identified with the size ranging from 62 bp (trnR) to 71 bp (trnK) (Table 2). The AT content of tRNAs (76.8%-78.3%) was slightly higher than that of the PCGs (75.7%-76.1%) (Table 3). Most tRNAs have clover-leaf secondary structures, except for trnS1, where the dihydrouridine (DHU) arm became a simple loop (Fig. 4). This feature is common in metazoan mitogenomes (Garey and Wolstenholme 1989). A total of 30 mismatched base pairs belonging to six types (U-G, U-U, A-C, A-G, U-C and A-A) were found in the arm structures of the 22 tRNAs.

Figure 4.

Figure 4.

Secondary structures of 22 tRNAs in the mitogenome of C.chinensis. Lines (-) indicate Watson-Crick base pairings, whereas dots (·) indicate unmatched base pairings.

The length of rrnS and rrnL genes ranges from 2,059 bp (C. sp.) to 2,152 bp (C.chinensis) and AT content of rRNAs is conserved in the Curculio (Table 3). For C.chinensis, the rrnL gene (length: 1329 bp) is encoded between trnL1 and trnV and the rrnS gene (length: 788 bp) is encoded between trnV and the control region, similar to other sequenced Curculio (Xu et al. 2017).

Control region

The control region regulates the replication and transcription of mtDNA (Boore 1999, Cameron 2014). In each sequenced Curculio mitogenome, the control region is subdivided by trnI into two parts (control region1 and control region2) (Fig. 2). Control region1 (CR1) is located between rrnS and trnI, while control region2 (CR2) is located between trnI and trnQ. The length and AT content of CR1 (1,997-2,360 bp and 83%-85.6%) are slightly higher than CR2 (10-2,007 bp and 60%-90%) (Table 3).

Phylogenetic relationships

Based on ML and BI analyses of nucleotide data of 13 PCGs and two rRNAs, we reconstructed the phylogenetic relationships of four species of Curculio. The trees of both analyses have congruent topologies, with all branches strongly supported (Fig. 5). Furthermore, relationships recovered in our analyses are similar to those found by Song et al. (Song et al. 2020), but we only focused on the phylogenetic relationships within Curculio. The monophyly of the genus Curculio was recovered with strong support, consistent with the previous study (Song et al. 2020). In Curculio, the relationships amongst included species were inferred as ((C.chinensis + C. sp.) + (Curculiodavidi + Curculioelephas Fabricius, 1781)), with C.chinensis and C. sp. forming a clade. In China's Camellia spp. producing areas, both C.chinensis and C. sp. are host-specific predators of the seeds of Camellia spp. The topologies of the phylogenetic trees reconstructed by us strongly supported the sister relationship between these two Curculio species (BS = 100; PP = 1), which may reflect a convergent evolutionary phenomenon in Curculio species with Camellia spp. as their host.

Figure 5.

Figure 5.

ML and BI phylogenetic trees for Curculio, based on the nucleotide sequence data of 13 PCGs and two rRNAs from C.chinensis and other five species belonging to two related genera of Curculioninae. Bootstrap support values (BS) and Bayesian posterior probabilities (PP) are indicated on the branch.

Supplementary Material

Supplementary material 1

Table S1

Kai Hu, Zaihua Yang

Data type

docx

Brief description

The best partitioning schemes and substitution models for PCG123 + rRNA dataset comprising 13 PCGs and two rRNAs of six species of Curculioninae used for ML phylogenetic analyses.

File: oo_592857.docx

Supplementary material 2

Table S2

Kai Hu, Zaihua Yang

Data type

docx

Brief description

The best partitioning schemes and substitution models for PCG123 + rRNA dataset comprising 13 PCGs and two rRNAs of six species of Curculioninae used for BI phylogenetic analyses.

File: oo_592858.docx

bdj-09-e69196-s002.docx (15.7KB, docx)

Acknowledgements

This work was supported by the Service Enterprise Action Plan of Guizhou Provincial Camelliaoleifera Team (QKHSEAP [2018] 4003), the Engineering Technology Research Center of Camelliaoleifera of Guizhou Province (QKHPT [2018] 5252), the Effects of Plant Growth Regulators on the Flower and Fruit Protection of Camelliaoleifera (QLKH [2019] 04) and the Project of Guizhou Science and Technology Platform and Talent Team Under Grant (nos. QKHPTRC [2018] 5610, QKHPTRC [2016] 5669).

Conflicts of interest

The authors report no conflicts of interest and are responsible for the content and writing of the paper.

Author contributions

The study was conceptualised by Zai-Hua Yang and Nian-nian Zhang organised the sample collection. Kai Hu conducted all the laboratory work. Kai Hu and Zai-Hua Yang have written the manuscript.

Conflicts of interest

The authors report no conflicts of interest and are responsible for the content and writing of the paper.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary material 1

Table S1

Kai Hu, Zaihua Yang

Data type

docx

Brief description

The best partitioning schemes and substitution models for PCG123 + rRNA dataset comprising 13 PCGs and two rRNAs of six species of Curculioninae used for ML phylogenetic analyses.

File: oo_592857.docx

Supplementary material 2

Table S2

Kai Hu, Zaihua Yang

Data type

docx

Brief description

The best partitioning schemes and substitution models for PCG123 + rRNA dataset comprising 13 PCGs and two rRNAs of six species of Curculioninae used for BI phylogenetic analyses.

File: oo_592858.docx

bdj-09-e69196-s002.docx (15.7KB, docx)

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