Home Life Sciences The complete mitochondrial genomes of two weevils, Eucryptorrhynchus chinensis and E. brandti: conserved genome arrangement in Curculionidae and deficiency of tRNA-Ile gene
Article Open Access

The complete mitochondrial genomes of two weevils, Eucryptorrhynchus chinensis and E. brandti: conserved genome arrangement in Curculionidae and deficiency of tRNA-Ile gene

  • Zhen-Kai Liu , Peng Gao , Muhammad Aqeel Ashraf and Jun-Bao Wen EMAIL logo
Published/Copyright: December 15, 2016

Abstract

The weevils Eucryptorrhynchus chinensis and Eucryptorrhynchus brandti (Coleoptera: Curculionidae), are two of the most important pests of the tree-of-heaven, Ailanthus altissima, which is found throughout China. In this study, the complete mitogenomes of the two weevils have been sequenced using Illumina HiSeqTM 2000. The mitogenomes of E. chinensis and E. brandti are 15,628bp and 15,597bp long with A+T contents of 77.7% and 76.6%, respectively. Both species have typical circular mitochondrial genomes that encode 36 genes. Except the deficiency of tRNA-Ile, the gene composition and order of E. chinensis and E. brandti are identical to the inferred ancestral gene arrangement of insects. In both mitochondrial genomes, the start codons for COI and ND1 are AAT and TTG, respectively. A5bp motif (TACTA) is detected in intergenic region between the tRNA-Ser (UCN) and ND1 genes. The ATP8/ATP6 and ND4L/ND4 gene pairs appear to overlap four or seven nucleotides (ATAA/ATGATAA) in different reading frames. The complete sequences of AT-rich region have two regions including tandem repeats. The study identifies useful genetic markers for studying the population genetics, molecular identification and phylogeographics of Eucryptorrhynchus weevils. The features of the mitochondrial genomes are expected to be valuable in

1 Introduction

Mitochondrial DNA has been used commonly as a molecular marker for phylogenetic, population genetics, phylogeography and molecular evolutionary studies over the last three decades [13]. This widespread use is due to their unique features, including a high copy number, maternal inheritance, lack of recombination, and a generally higher mutation rate than nuclear DNA [1,4,5]. Complete mitochondrial genomes also provide a suite of genome-level characters, such as gene content and gene arrangement, base composition, modes of replication and transcription, tRNA and rRNA gene secondary structures, and genetic codon variation [3,68].

The number of complete mtgenomes has steadily been on the rise with the technical feasibility of sequencing [913]. Currently, nearly fifty coleopteran mitochondrial genomes have been completely or near completely sequenced. These provide the possibility to reinvestigate long-standing phylognetic questions, especially the weevils of Curculionidae [14].

Although weevils constitute a vast and diverse family of beetles, the basal relationships between species remain controversial [1416]. Compared to the size and diversity of Curculionidae, which contains over 51,000 described species [17], the existing information on Curculionidae mtDNA is very limited. To date only three Curculionidae (Sphenophorus sp., Naupactus xanthographus and Hylobitelus xiaoi) mitochondrial genomes have been completely or near completely sequenced [7].

Eucryptorrhynchus chinensis and Eucryptorrhynchus brandti (Coleoptera: Curculionidae) are two of the most important pests of the tree-of-heaven, Ailanthus altissima (Mill.), which is found throughout China. Larvae of E. chinensis feed on the root tissues and E. brandti feed on the phloem and cambial, and often occur concurrently. After A. altissima was first introduced into North America in the 1700s, it spread rapidly, outcompeting native vegetation [18]. Accordingly, E. chinensis and E. brandti are currently considered as potential biological control agents to limit the spread of A. altissima [19].

In this study, we sequenced the complete mitogenomes of E. chinensis and E. brandti analyzed the gene content, organization and codon usage, and compared them with other species of Curculionidae. The newly sequenced mitogenomes of Curculionidae are expected to be valuable in enhancing our understanding of the mitogenomes of congeneric species, as well as in yielding a valuable approach for assessing mtDNA evolutionary trends [6,20].

2 Materials and Methods

2.1 Sample origin and DNA extraction

Adult species of E. chinensis and E. brandti were collected from the farmland shelter-forest in Lingwu city (N 38°03′, E 106°20′), Ningxia Hui Autonomous Region in northwest China in 2013. Specimens were preserved in 100% ethanol and stored at -20°C until DNA extraction. Mitochondrial DNA was extracted using the mtDNA isolation kit (Biovision) according to the manufacturer’s instruction. Prior to extraction, muscle tissue under pronotum was selected to avoid possible contamination from gut content.

2.2 DNA sequencing and assembly

MtDNA was sequenced with Illumina HiSeqTM 2000. Using the default parameters, reads were assembled using velvet (1.2.09).

2.3 Gap PCR amplification and sequencing

After assembly, the mitochondrial genomes were nearly completely sequenced with the exception of an A+T-rich region and tRNA-Ile. According to the flanking sequences of the gap, we designed a pair of primers (SR-J: 5’- ATAATAGGGTATCTAATCCTAGT/TM-N: 5’-ACCTTTATATTTGGGGTATGAACC) to bridge the gap. PCR

with Fast HiFidelity PCR Kit (TIANGEN, China) was carried out using the following conditions: 94°C for 3 min, 30 cycles at 94°C for 30s, 56°C for 30s, 68°C for 2 min, and a final extension at 68°C for 5 min. The PCR products were examined by agarose gel electrophoresis (1%). After purification, the products were directly sequenced using ABI technology.

2.4 Annotation and analysis

The MITOS database http://mitos.bioinf.uni-leipzig.de/ was used to identify the mitogenomic sequences including protein-coding genes, rRNAs, and tRNAs [21]. Transfer RNA gene analysis was conducted using tRNAscan-SE software v.1.21 [22]. After MITOS reported general locations, the precise locations of Protein-coding genes, ribosomal RNA genes and AT-rich region were identified by comparing their similarity to published Curculionidae mitochondrial sequences. The tandem repeats in the AT-rich region were predicted by the Tandem Repeats Finder available online http://tandem.bu.edu/trf/trf.html [23]. Codon usage and nucleotide composition statistics were computed using MEGA 5.0 software [24]. Circular genetic maps were generated with mtviz http://pacosy.informatik.uni-leipzig.de/mtviz/.

3 Results and discussion

3.1 Genome organization, structure and composition

Complete mitogenome sequences were obtained for E. chinensis (15,628bp) and E.brandti (15,597bp), and have been deposited in GenBank (E. chinensis: KP410324 and E. brandti: KP455482). They are typical circular molecules and include 36 genes usually present in animal mtDNA [1], including 13 PCG, 21tRNA genes, 2 ribosomal genes and A+T- rich region (Figure 1 and Figure 2). Among these, 22 genes (nine PCGs, and thirteen tRNA genes) are located on the majority strand (J-strand) and the others on the minority strand (N-strand) (Table 1 and Table 2).

Figure 1 Circular map of the mitogenome of E. chinensis.
Figure 1

Circular map of the mitogenome of E. chinensis.

Figure 2 Circular map of the mitogenome of E. brandti.
Figure 2

Circular map of the mitogenome of E. brandti.

Table 1

Organization of the E. chinensis mitochondrial genome.

Genelocationsize/bpcodonanticodonIGS/bpstrand
startstop
tRNA-Gln1-6767TTG0N
tRNA-Met87-15670CAT+19J
ND2157-11671011ATTTAA0J
tRNA-Trp1167-123670TCA-1J
tRNA-Cys1251-131868GCA+14N
tRNA-Tyr1335-139763GTA+16N
COI1399-29291531AATT+1J
tRNA-Leu2930-299465TAA0J
COII2995-3678684ATTTAA0J
tRNA-Lys3681-375272CTT+2J
tRNA-Asp3752-381564GTC-1J
ATP83816-3971156ATTTAA0J
ATP63968-4639672ATATAA-4J
COIII4639-5421783ATGTAA-1J
tRNA-Gly5426-549065TCC+4J
ND35491-5844354ATATAA0J
tRNA-Ala5848-591568TGC+3J
tRNA-Arg5916-597964T CG0J
tRNA-Asn5979-604264GTT-1J
tRNA-Ser6043-610967TCT0J
tRNA-Glu6109-617264TTC-1J
tRNA-Phe6179-624466GAA+6N
ND56244-79681725ATTTAA-1N
tRNA-His7969-803466GTG0N
ND48035-93641330ATAT0N
ND4L9361-9654294ATGTAA-4N
tRNA-Thr9660-972465TGT+5J
tRNA-Pro9725-978864TGG0N
ND69791-10297507ATTTAA+2J
CYTB10298-114371140ATGTAA0J
tRNA-Ser11437-1150468TGA-1J
ND111524-12474951TTGTAG+19N
tRNA-Leu12476-1254166TAG+1N
lrRNA12542-1386113200N
tRNA-Val13862-1392766TAC0N
srRNA13928-147097820N
CR14710-156289190-

Note: IGS denotes the length of intergenic spacer region, for which negative numbers indicate nucleotide overlapping between adjacent genes.

Table 2

Organization of the E. chinensis mitochondrial genome.

Genelocationsize/bpcodonanticodonIGS/bpstrand
startstop
tRNA-Gln1-6767TTG0N
tRNA-Met77-14569CAT+9J
ND2146-11591014ATTTAA0J
tRNA-Trp1159-122769TCA-1J
tRNA-Cys1227-129266GCA-1N
tRNA-Tyr1306-137065GTA+13N
COI1372-29021531AATT+1J
tRNA-Leu2903-296765TAA0J
COII2968-3651684ATCTAA0J
tRNA-Lys3653-372371CTT+1J
tRNA-Asp3724-378966GTC0J
ATP83790-3945156AT TTAA0J
ATP63942-4613672ATATAA-4J
COIII4613-5395783ATGTAA-1J
tRNA-Gly5401-546464TCC+5J
ND35465-5818354ATTTAA0J
tRNA-Ala5818-588669TGC-1J
tRNA-Arg5887-594963T CG0J
tRNA-Asn5949-601163GTT-1J
tRNA-Ser6012-607766TCT0J
tRNA-Glu6077-613963TTC-1J
tRNA-Phe6140-620566GAA0N
ND56205-79261721ATTTAA-1N
tRNA-His7927-799165GTG0N
ND47992-93211330ATAT0N
ND4L9318-9611294ATGTAG-4N
tRNA-Thr9617-968064TGT+6J
tRNA-Pro9681-974867TGG0N
ND69751-10257507ATTTAA+2J
CYTB10258-113971140ATGTAA0J
tRNA-Ser11398-1146568TGA0J
ND111484-12434951TTGTAG+8N
tRNA-Leu12436-1250166TAG+1N
lrRNA12502-1380513040N
tRNA-Val13806-1387065TAC0N
srRNA13871-146417710N
CR14642-155979560-

Note: IGS denotes the length of intergenic spacer region, for which negative numbers indicate nucleotide overlapping between adjacent genes.

A comparison with previous studies suggests that the orientation and gene order of E. chinensis and E. brandti are identical to the inferred ancestral gene arrangement of insects [1]. However, one striking difference is the deficiency of tRNA-Ile genes (Figure 1 and Figure 2). This deletion is also found in other species, such as the Sphenophorus striatopunctatus (GU176342) and Naupactus xanthographus (GU176345), which belong to Curculionidae [7]. We considered that the deficiency of tRNA-Ile in the mitochondria may provide valuable phylogenetic characters at the family level of coleopteran insects [25]. tRNA arrangement is usually conserved in Coleoptera with no rearrangement and deletions. Only Tribolium castaneum differs from the most common type [26]. In addition, the feature only exists in most Curculionidae insects which have been sequenced mitogenome [7].

The coding strand is indicated by think line; abbreviations are as in the text and for tRNAs the one letter code of the corresponding amino acid is given. The one-letter symbols L1, L2, S1 and S2 denote tRNA-Leu (CUN), tRNA-Leu (UUR), tRNA-Ser (AGN), tRNA-Ser (UCN).

The coding strand is indicated by think line; abbreviations are as in the text and for tRNAs the one letter code of the corresponding amino acid is given. The one-letter symbols L1, L2, S1 and S2 denote tRNA-Leu (CUN), tRNA-Leu (UUR), tRNA-Ser (AGN), tRNA-Ser (UCN).

3.2 Nucleotide composition

The composition of the majority strand (J-strand) of E. chinensis mtDNA is A = 6,189 (39.6%), T = 5,954 (38.1%), G = 1,360 (8.7%), C = 2,125 (13.6%). The composition of the J strand of E. brandti mtDNA is A = 6,067 (38.9%), T = 5,880 (37.7%), G = 1,404 (9.0%), C = 2,246 (14.4%).

Similarly, to most Coleopteran insects, the two weevils’ mitogenomes show a high A+T bias (77.7% in E. chinensis and 76.6% in E. brandti), compared with most beetles (e.g., A+T% ranges from 66% in Cheirotonus jansonito 81% in Sphaerius sp.) [9,27]. The analysis of the base composition at each codon position of the concatenated 13 PCGs of E. chinensis and E. brandti revealed that the third codon position (91.6% in E. chinensis and 90.6% in E. brandti) showed an AT content higher than that of the first (70.3% in E. chinensis and 69.4% in E. brandti) and second (68.1% in E. chinensis and 68.5% in E. brandti) codon positions, as has also been observed in other sequenced coleopteran species [27].

The AT skew is 0.019 in E. chinensis and 0.016 in E. brandti, while the GC skew is -0.220 in E. chinensis and -0.231 in E. brandti. This suggests a weak A skew and a strong C skew in the J-strand, similar to those typically found in most coleopteran mitochondrial genomes [28,29].

3.3 Intergenic spacers and gene overlaps

Mitochondrial evolution has traditionally been viewed as favoring genome size reduction, possibly by eliminating intergenic spacers [30].

In addition to the A+T- rich region, a total of 92 bp noncoding sequences are present in the mitogenomes of E. chinensis, which contain 12 intergenic spacers, ranging in size from 1 to 19 bp. The longest of these exist between tRNA-Serand ND1 gene, tRMA-Gln and tRNA-Met including the microsatellite-like repeats (AT)7 (Table 1). A total of 46 bp noncoding sequences are present in the mitogenomes of E. brandti, which contain 9 intergenic spacers, ranging in size from 1 to 13 bp. The longest of these exists between tRNA-Cys and tRNA-Tyr (Table 2).

Genes overlap in the E. chinensis mitogenome in a total of 15 bp in 9 locations; the longest overlap is 4 bp, and is located between ATP8 and ATP6 (Table 1). In E. brandti, a total of 15 bp overlapped regions are scattered in 9 locations; the longest overlap is 4 bp, and is located between ATP8 and ATP6 (Table 2). In annotations, many gene boundaries have been signed to avoid the implications of noncoding intergenic spacers and genes overlaps [9].

Although most spacers and overlaps appeared to be unique to individual species, Curculionidae species appeared to share the conserved sequence length and location of non-coding regions.

The majority of the intergenic space sequences are far less than 50 bp [28]. A small intergenic region between the tRNA-Ser (UCN) and ND1 genes and including a 5 bp motif (TACTA), is also found in most sequenced coleopterans [9,27,31]. The ATP8/ATP6 and ND4L/ND4 gene pairs appear to overlap four or seven nucleotides (ATAA/ATGATAA) in different reading frames [9,27,32].

3.4 Protein-coding genes (PCGs) and codon usage pattern

The mtDNA of E. chinensis and E. brandti contain the full set of PCGs usually present in animal mtDNA [1].

In E. chinensis and E. brandti, with the exception of COI and ND1, all protein-coding sequences originate with the typical ATN start codon. The start codons for COI and ND1 are AAT and TTG, respectively. In E. chinensis, five PCGs (ND2, COII, ATP8, ND5, ND6) start with ATT codons, three (ATP6, ND3 and ND4) with ATA, and there (COIII, ND4L, CYTB) with ATG (Table 1). In E. brandti, five (ND2, ATP8, ND3, ND5, ND6) start with ATT, two (ATP6 and ND4) with ATA, one (COII) with ATC and three (COIII, ND4L, CYTB) with ATG (Table 2).

COIhas been characterized in many species of diverse insect orders, including Diptera, Lepidoptera, Orthoptera and Coleoptera [32,33]. Generally, some other amino acids (AAA (lysine), ATY (isoleucine), CTA (leucine), AAY (asparagine)) have all been proposed as possible start codons in Coleoptera [9,34]. We propose that the COImay start with AAT in two weevils. By aligning the sequence region encompassing tRNA-Tyr and COI from all known weevil mitogenomes, the Asparagine (AAT or AAC) start location has been well conserved, and is located only a single base pair downstream from the end of the tRNA-Tyr [9, 27].

We propose that the ND1 may start with TTG in two weevils. The start codons creating a single base pair between tRNA-Leu and ND1 gene also appear to be more plausible in the evolutionary economic perspective. The feature has been identified in several insects, including Damaster mirabilissimus mirabilissim [32], Trachypachus holmbergi [9] and Pyrocoelia rufa [35].

Two standard stop codons TAA/TAG and incomplete stop codons T are utilized in the PCGs. For E. chinensis, ten PCGs (ND2, COII, ATP8, ATP6, COIII, ND3, ND5, ND4L, ND6, CYTB) terminate with TAA, one (ND1) with TAG, two (COI, ND4) with T (Table 1). For E. brandti, nine PCGs (ND2, COII, ATP8, ATP6, COIII, ND3, ND5, ND6, CYTB) terminate with TAA, two (ND1, ND4L) with TAG, two (COI, ND4) with T (Table 2). These abbreviated stop codons are found in PCGs that are followed by a downstream tRNA gene. The most common interpretation of this phenomenon is that TAA termini are created via posttranscriptional polyadenylation that changed T to the TAA stop codon [36].

The pattern of codon usage in the E. chinensis and E. brandti mtDNA were also studied. There are a total of 3,711 codons in all thirteen mitochondrial PCGs, excluding incomplete termination codons. The condon families exhibit a very similar behavior among these two species (Table 3 and Table 4). The most frequently use amino acids were Leu (E. chinensis: 15.55%; E. brandti: 16.03%), followed by Ile (10.64%; 10.78%), Phe (9.86%; 10.05%), Ser (9.67%; 9.49%) and Met (6.68%; 6.17%). The RSCU revealed that codons harboring A or T in the third position are more frequently used than those of G or C in the third position. In the PCGs, the four AT-rich codons (UUA-Leu, AUU-Ile, UUU-Phe and AUA-Met) were the most frequently used and GCG were not observed, which is consistent with finding in other coleopteran insects [9, 34].

Table 3

RSCU and codon usage of the PCGs of the E. chinensis.

Codon (aa)N (RSCU)Codon (aa)N (RSCU)Codon (aa)N (RSCU)Codon (aa)N (RSCU)
UUU-F330 (1.80)UCU-S124 (2.76)UAU-Y161 (1.82)UGU-C31 (1.94)
UUC-F36 (0.20)UCC-S8 (0.18)UAC-Y16 (0.18)UGC-C1 (0.06)
UUA-L404 (4.20)UCA-S104 (2.32)UAA-*10 (2.00)UGA-W89 (1.98)
UUG-L28 (0.29)UCG-S5 (0.11)UAG-*0 (0.00)UGG-W1 (0.02)
CUU-L84 (0.87)CCU-P72 (2.25)CAU-H62 (1.63)CGU-R13 (0.96)
CUC-L14 (0.15)CCC-P8 (0.25)CAC-H14 (0.37)CGC-R3 (0.22)
CUA-L41 (0.43)CCA-P45 (1.41)CAA-Q57 (1.84)CGA-R36 (2.67)
CUG-L6 (0.06)CCG-P3 (0.09)CAG-Q5 (0.16)CGG-R2 (0.15)
AUU-I360 (1.82)ACU-T93 (2.09)AAU-N175 (1.84)AGU-S19 (0.42)
AUC-I35 (0.18)ACC-T11 (0.25)AAC-N15 (0.16)AGC-S1 (0.02)
AUA-M231 (1.86)ACA-T71 (1.60)AAA-K121 (1.83)AGA-S92 (2.05)
AUG-M17 (0.14)ACG-T3 (0.07)AAG-K11 (0.17)AGG-S6 (0.13)
GUU-V57 (1.48)GCU-A73 (1.97)GAU-D54 (1.83)GGU-G61 (1.26)
GUC-V7 (0.18)GCC-A11 (0.30)GAC-D5 (0.17)GGC-G8 (0.17)
GUA-V81 (2.10)GCA-A62 (1.68)GAA-E73 (1.76)GGA-G114 (2.36)
GUG-V9 (0.23)GCG-A2 (0.05)GAG-E10 (0.24)GGG-G10 (0.21)
Table 4

RSCU and codon usage of the PCGs of the E. brandti.

Codon (aa)N (RSCU)Codon (aa)N (RSCU)Codon (aa)N (RSCU)Codon (aa)N (RSCU)
UUU-F338 (1.81)UCU-S134 (3.05)UAU-Y143 (1.71)UGU-C28 (1.81)
UUC-F35 (0.19)UCC-S18 (0.41)UAC-Y24 (0.29)UGC-C3 (0.19)
UUA-L406 (4.09)UCA-S83 (1.89)UAA-[*]9 (1.8)UGA-W86 (1.91)
UUG-L32 (0.32)UCG-S6 (0.14)UAG-[*]1 (0.2)UGG-W4 (0.09)
CUU-L85 (0.86)CCU-P79 (2.47)CAU-H65 (1.78)CGU-R17 (1.24)
CUC-L11 (0.11)CCC-P5 (0.16)CAC-H8 (0.22)CGC-R2 (0.15)
CUA-L58 (0.58)CCA-P42 (1.31)CAA-Q59 (1.87)CGA-R32 (2.33)
CUG-L3 (0.03)CCG-P2 (0.06)CAG-Q4 (0.13)CGG-R4 (0.29)
AUU-I355 (1.78)ACU-T81 (1.94)AAU-N179 (1.84)AGU-S19 (0.43)
AUC-I45 (0.23)ACC-T12 (0.29)AAC-N16 (0.16)AGC-S3 (0.07)
AUA-M214 (1.87)ACA-T72 (1.72)AAA-K113 (1.82)AGA-S84 (1.91)
AUG-M15 (0.13)ACG-T2 (0.05)AAG-K11 (0.18)AGG-S5 (0.11)
GUU-V74 (1.75)GCU-A85 (2.25)GAU-D55 (1.75)GGU-G62 (1.27)
GUC-V6 (0.14)GCC-A18 (0.48)GAC-D8 (0.25)GGC-G9 (0.18)
GUA-V81 (1.92)GCA-A48 (1.27)GAA-E72 (1.78)GGA-G106 (2.17)
GUG-V8 (0.19)GCG-A0 (0)GAG-E9 (0.22)GGG-G18 (0.37)

Note: aa: amino acid; N: frequency of codon used; RSCU: relative synonymous codon usage;

3.5 Transfer and ribosomal RNA genes

The two mitogenomes have 21 tRNA genes that are present in most metazoan mitogenome [37]. The 21 tRNA genes of the E. chinensis and E. brandti mitogenome are interspersed in the genome, ranging in size from 63 to

72 bp (Table 1 and Table 2). With the exception of serine and leucine, there is only a single tRNA for each amino acid. All tRNA can be folded into the typical clover-leaf structure, with the exception of tRNA-Ser (AGN) (Figure S1 and Figure S2), which lacked the dihydrouridine (DHU) arm, as is the case with several insects [38,39].

Figure S1 Predicted secondary clover-leaf structures for the 21 tRNA genes of E. chinensis.The tRNAs are labeled with the abbreviations of their corresponding amino acids. Arms of tRNAs (clockwise from top) are the amino acid acceptor (AA) arm, TC (T) arm, the anticodon (AC) arm, and the dihydrouridine (DHU) arm.
Figure S1

Predicted secondary clover-leaf structures for the 21 tRNA genes of E. chinensis.

The tRNAs are labeled with the abbreviations of their corresponding amino acids. Arms of tRNAs (clockwise from top) are the amino acid acceptor (AA) arm, TC (T) arm, the anticodon (AC) arm, and the dihydrouridine (DHU) arm.

Figure S2 Predicted secondary clover-leaf structures for the 21 tRNA genes of E. brandti.The tRNAs are labeled with the abbreviations of their corresponding amino acids. Arms of tRNAs (clockwise from top) are the amino acid acceptor (AA) arm, TC (T) arm, the anticodon (AC) arm, and the dihydrouridine (DHU) arm.
Figure S2

Predicted secondary clover-leaf structures for the 21 tRNA genes of E. brandti.

The tRNAs are labeled with the abbreviations of their corresponding amino acids. Arms of tRNAs (clockwise from top) are the amino acid acceptor (AA) arm, TC (T) arm, the anticodon (AC) arm, and the dihydrouridine (DHU) arm.

Two rRNA (lrRNA and srRNA) are located between tRNA-Leu (CUN) and tRNA-Val, and between tRNA-Val and the A+T-rich region, respectively (Figure 1 and Figure 2).

3.6 A+T-rich region

The A+T-rich region of E. chinensis (919 bp) and E. brandti (956 bp) are located between srRNA and tRNA-Gln- tRNA-Met (Figure 1 and Figure 2), which are supposed to contain the replication origin site and show high A+T bias (E. chinensis: 82.4%; E. brandti: 76.3%).

The A + T-rich region has been identified as the source of size variation in the entire mitochondrial genome, especially in Curculionidae, from 734 bp in Batocera lineolata (NC_022671) to 4,468 bp in Coccinella septempunctata (JQ321839), usually due to the presence of a variable copy number of repetitive elements [9,29,34,40,41].

In E. chinensis, the complete sequences of AT-rich region have two regions including tandem repeats:1) a short 16 bp sequence tandemly repeated two times, with a partial third (3 bp), 2) a 92 bp sequence tandemly repeated four times, with a partial fifth (53 bp). In E. brandti, the AT-rich region also has two regions including tandem repeats:1) a 49 bp sequence tandemly repeated three times, with a partial fourth (9 bp), 2) a 81 bp sequence tandemly repeated there times, with a partial forth (54 bp).

4 Conclusion

Our study presents the mitogenome sequences of two Eucryptorrhynchus weevils. The results indicate that these mitogenomes follow the ancestral insect arrangement, except the deficiency of tRNA-Ile. There are several common features that many weevil lineages share; such as share the conserved sequence length and location of non-coding regions, using AAT and TTG as start codons for CO1 and ND1, respectively and two regions including tandem repeats in the AT-rich region. Our results identify useful genetic markers for studying population genetics, molecular identification and phylogeographics of Eucryptorrhynchus weevils. The feature of mitochondrial genome of the two weevils adds more examples to determine rearrangement mechanisms and evolutionary processes.

Ethics statement

Eucryptorrhynchus chinensis and Eucryptorrhynchus brandti (Coleoptera: Curculionidae) are not an endangered or protected species and has recently become an important pest of A. altissima in China. In recent years, E. chinensis and E. brandti outbreak occurred in the Ningxia Hui Autonomous Region and provided ample opportunity for sample collection. No specific permits were required for collection in these locations or for these activities.

  1. Conflict of interest: The authors declare that no conflict of interest exist.

Acknowledgments

This work was supported by grants from The Special Fund for Forestry Scientific Research in the Public Interest (NO. 201204501); The Special Fund for Forestry Scientific Research in the Public Interest (NO. 201304412); “Twelfth Five-year” National Science and Technology Support Program of China (NO. 2012BAD19B07).

References

[1] Boore J.L., Animal mitochondrial genomes, Nucleic Acids Res., 1999, 27 (8), 1767-1780.10.1093/nar/27.8.1767Search in Google Scholar PubMed PubMed Central

[2] Cameron S.L., Insect mitochondrial genomics: implications for evolution and phylogeny, Ann. Rev. Entomol., 2014, 59, 95-117.10.1146/annurev-ento-011613-162007Search in Google Scholar PubMed

[3] Simon C., Buckley T.R., Frati F., Stewart J.B., Beckenbach A.T., Incorporating molecular evolution into phylogenetic analysis, and a new compilation of conserved polymerase chain reaction primers for animal mitochondrial DNA, Ann. Rev. Ecol. Evol. Syst., 2006, 37, 545-579.10.1146/annurev.ecolsys.37.091305.110018Search in Google Scholar

[4] Moritz C., Dowling T.E., Brown W.M., Evolution of animal mitochondrial DNA: relevance for population biology and systematics, Ann. Rev. Ecol. Evol. Syst., 1987, 18, 269-292.10.1146/annurev.es.18.110187.001413Search in Google Scholar

[5] Ballard J.W., Whitlock M.C., The incomplete natural history of mitochondria, Mol. Ecol., 2004, 13 (4), 729-744.10.1046/j.1365-294X.2003.02063.xSearch in Google Scholar

[6] Gissi C., Iannelli F., Pesole G., Evolution of the mitochondrial genome of Metazoa as exemplified by comparison of congeneric species, Heredity (Edinb), 2008, 101 (4), 301-320.10.1038/hdy.2008.62Search in Google Scholar PubMed

[7] Song H., Sheffield N.C., Cameron S.L., Miller K.B., Whiting M.F., When phylogenetic assumptions are violated: base compositional heterogeneity and among-site rate variation in beetle mitochondrial phylogenomics, Syst. Entomol., 2010, 35 (3), 429-448.10.1111/j.1365-3113.2009.00517.xSearch in Google Scholar

[8] Boore J.L., Fuerstenberg S.I., Beyond linear sequence comparisons: the use of genome-level characters for phylogenetic reconstruction, Phil. Trans. Royal Soc. B-Biol. Sci., 2008, 363 (1496), 1445-1451.10.1093/acprof:oso/9780199549429.003.0013Search in Google Scholar

[9] Sheffield N.C., Song H., Cameron S.L., Whiting M.F., A comparative analysis of mitochondrial genomes in Coleoptera (Arthropoda: Insecta) and genome descriptions of six new beetles, Mol. Biol. Evol., 2008, 25 (11), 2499-2509.10.1093/molbev/msn198Search in Google Scholar PubMed PubMed Central

[10] Timmermans M.J.T.N., Dodsworth S., Culverwell C.L., Bocak L., Ahrens D., Littlewood D.T.J., Why barcode? High-throughput multiplex sequencing of mitochondrial genomes for molecular systematics, Nucleic Acids Res., 2010, 38 (21), e197.10.1093/nar/gkq807Search in Google Scholar PubMed PubMed Central

[11] Hwang U.W., Park C.J., Yong T.S., Kim W., One-step PCR amplification of complete arthropod mitochondrial genomes, Mol. Phyl. Evol., 2001, 19 (3), 345-352.10.1006/mpev.2001.0940Search in Google Scholar PubMed

[12] Cameron S.L., How to sequence and annotate insect mitochondrial genomes for systematic and comparative genomics research, Syst. Entomol., 2014, 39 (3), 400-411.10.1111/syen.12071Search in Google Scholar

[13] Gillett C.P.D.T., Crampton-Platt A., Timmermans M.J.T.N., Jordal B.H., Emerson B.C., Vogler A.P., Bulk de novo mitogenome assembly from pooled total DNA elucidates the phylogeny of weevils (Coleoptera: Curculionoidea), Mol. Biol. Evol., 2014, 31 (8), 2223-37.10.1093/molbev/msu154Search in Google Scholar PubMed PubMed Central

[14] Hunt T., Bergsten J., Levkanicova Z., Papadopoulou A., John O.S., Wild R., et al., A comprehensive phylogeny of beetles reveals the evolutionary origins of a superradiation, Science, 2007, 318 (5858), 1913-1916.10.1126/science.1146954Search in Google Scholar PubMed

[15] Lawrence J.F., Evolution and Classification of Beetles, Ann. Rev. Ecol. Syst., 1982, 13, 261-290.10.1146/annurev.es.13.110182.001401Search in Google Scholar

[16] Haran J., Timmermans M.J., Vogler A.P., Mitogenome sequences stabilize the phylogenetics of weevils (Curculionoidea) and establish the monophyly of larval ectophagy, Mol. Phylogenet. Evol., 2013, 67 (1), 156-166.10.1016/j.ympev.2012.12.022Search in Google Scholar PubMed

[17] Oberprieler R.G., Marvaldi A.E., Anderson R.S., Weevils, weevils, weevils everywhere, Zootaxa, 2007, 1668, 491-520.10.11646/zootaxa.1668.1.24Search in Google Scholar

[18] Ding J., Reardon R., Yun W., Hao Z., Fu W., Biological control of invasive plants through collaboration between China and the United States of America: a perspective, Biol. Inv., 2006, 8 (7), 1439-1450.10.1007/s10530-005-5833-2Search in Google Scholar

[19] Ding J.Q., Wu Y., Hao Z., Fu W.D., Reardon R., Min L., Assessing potential biological control of the invasive plant, tree-of-heaven, Ailanthus altissima, Biocontrol Sci. Technol., 2006, 16 (6), 547-566.10.1080/09583150500531909Search in Google Scholar

[20] Coates B.S., Assembly and annotation of full mitochondrial genomes for the corn rootworm species, Diabrotica virgifera virgifera and Diabrotica barberi (Insecta: Coleoptera: Chrysomelidae), using Next Generation Sequence data, Gene, 2014, 542 (2), 190-197.10.1016/j.gene.2014.03.035Search in Google Scholar PubMed

[21] Bernt M., Donath A., Jühling F., Externbrink F., Florentz C., Fritzsch G., et al., MITOS: Improved de novo metazoan mitochondrial genome annotation, Mol. Phylogenet. Evol., 2013, 69 (2), 313-319.10.1016/j.ympev.2012.08.023Search in Google Scholar PubMed

[22] Lowe T.M., Eddy S.R., tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence, Nucleic Acids Res., 1997, 25 (5), 955-964.10.1093/nar/25.5.955Search in Google Scholar PubMed PubMed Central

[23] Benson G., Tandem repeats finder: a program to analyze DNA sequences, Nucleic Acids Res., 1999, 27 (2), 573-580.10.1093/nar/27.2.573Search in Google Scholar PubMed PubMed Central

[24] Tamura K., Peterson D., Peterson N., Stecher G., Nei M., Kumar S., MEGA5: Molecular Evolutionary Genetics Analysis Using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods, Mol. Biol. Evol., 2011, 28 (10), 2731-2739.10.1093/molbev/msr121Search in Google Scholar PubMed PubMed Central

[25] Alfonzo J.D., Soll D., Mitochondrial tRNA import - the challenge to understand has just begun, Biol. Chem., 2009, 390 ( 8), 717-722.10.1515/BC.2009.101Search in Google Scholar PubMed PubMed Central

[26] Friedrich M., Muqim N., Sequence and phylogenetic analysis of the complete mitochondrial genome of the flour beetle Tribolium castanaeum, Mol. Phylogenet. Evol., 2003, 26 (3), 502-512.10.1016/S1055-7903(02)00335-4Search in Google Scholar PubMed

[27] Shao L.L., Huang D.Y., Sun X.Y., Hao J.S., Cheng C.H., Zhang W., Yang Q., Complete mitochondrial genome sequence of Cheirotonus jansoni (Coleoptera: Scarabaeidae), Genet. Mol. Res., 2014, 13 (1), 1047-1058.10.4238/2014.February.20.6Search in Google Scholar PubMed

[28] Hong M.Y., Heoncheon J., Minjee K., Hyunguk J., Sanghyun L., Iksoo K., Complete mitogenome sequence of the jewel beetle, Chrysochroa fulgidissima (Coleoptera: Buprestidae), Mit. DNA, 2009, 20 (2-3), 46-60.10.1080/19401730802644978Search in Google Scholar PubMed

[29] Kim M.J., Wan X., Kim I., Complete mitochondrial genome of the seven-spotted lady beetle, Coccinella septempunctata (Coleoptera: Coccinellidae), Mit. DNA, 2012, 23 (3), 179-181.10.3109/19401736.2012.668901Search in Google Scholar PubMed

[30] Burger G., Gray M. W., Lang B. F., Mitochondrial genomes: anything goes, Trends Genet., 2003, 19 (12), 709-716.10.1016/j.tig.2003.10.012Search in Google Scholar PubMed

[31] Li X., Ogoh K., Ohba N., Liang X., Ohmiya Y., Mitochondrial genomes of two luminous beetles, Rhagophthalmus lufengensis and R. ohbai (Arthropoda, Insecta, Coleoptera), Gene, 2007, 392 (1-2), 196-205.10.1016/j.gene.2006.12.017Search in Google Scholar PubMed

[32] Wan X., Hong M.Y., Liao A., Kim M.I., Kim K.G., Han Y.S., Kim I., Complete mitochondrial genome of a carabid beetle, Damaster mirabilissimus mirabilissim (Coleoptera: Carabidae), Entomol. Res., 2012, 42 (1), 44-54.10.1111/j.1748-5967.2011.00355.xSearch in Google Scholar

[33] Cameron S.L., Whiting M.F., The complete mitochondrial genome of the tobacco hornworm, Manduca sexta, (Insecta: Lepidoptera: Sphingidae), and an examination of mitochondrial gene variability within butterflies and moths, Gene, 2008, 408 (1-2), 112-123.10.1016/j.gene.2007.10.023Search in Google Scholar PubMed

[34] Kim K.G., Hong M.Y., Kim M.J., Im H.H., Kim M.I., Bae C.H., et al., Complete mitochondrial genome sequence of the yellow-spotted long-horned beetle Psacothea hilaris (Coleoptera: Cerambycidae) and phylogenetic analysis among coleopteran insects, Molecules Cells, 2009, 27 (4), 429-441.10.1007/s10059-009-0064-5Search in Google Scholar PubMed

[35] Bae J.S., Kim I., Sohn H.D., Jin B.R., The mitochondrial genome of the firefly, Pyrocoelia rufa: complete DNA sequence, genome organization, and phylogenetic analysis with other insects, Mol. Phylogenet. Evol., 2004, 32 (3), 978-985.10.1016/j.ympev.2004.03.009Search in Google Scholar PubMed

[36] Ojala D., Montoya J., Attardi G., tRNA punctuation model of RNA processing in human mitochondria, Nature, 1981, 290 (5806), 470-474.10.1038/290470a0Search in Google Scholar PubMed

[37] Taanman J.W., The mitochondrial genome: structure, transcription, translation and replication, Biochim. Biophys. Acta, 1999, 1410 (2), 103-123.10.1016/S0005-2728(98)00161-3Search in Google Scholar

[38] Zhang Z., Wang X., Li R., Guo R., Zhang W., Song W., et al., The mitochondrial genome of Dastarcus helophoroides (Coleoptera: Bothrideridae) and related phylogenetic analyses, Gene, 2015, 560 (1), 15-24.10.1016/j.gene.2014.12.026Search in Google Scholar PubMed

[39] Wolstenholme D.R., Animal mitochondrial DNA: structure and evolution, Int. Rev. Cytol., 1992, 141, 173-216.10.1016/S0074-7696(08)62066-5Search in Google Scholar

[40] Zhang D.X., Szymura J.M., Hewitt G.M., Evolution and structural conservation of the control region of insect mitochondrial DNA, J. Mol. Evol., 1995, 40 (4), 382-391.10.1007/BF00164024Search in Google Scholar PubMed

[41] Zhang D.X., Hewitt G.M., Insect mitochondrial control region: A review of its structure, evolution and usefulness in evolutionary studies, Biochem. Systemat. Ecol., 1997, 25, 99-120.10.1016/S0305-1978(96)00042-7Search in Google Scholar

Received: 2016-5-14
Accepted: 2016-9-14
Published Online: 2016-12-15
Published in Print: 2016-1-1

© 2016 Zhen-Kai Liu et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Articles in the same Issue

  1. Regular article
  2. Purification of polyclonal IgG specific for Camelid’s antibodies and their recombinant nanobodies
  3. Regular article
  4. Antioxidative defense mechanism of the ruderal Verbascum olympicum Boiss. against copper (Cu)-induced stress
  5. Regular article
  6. Polyherbal EMSA ERITIN Promotes Erythroid Lineages and Lymphocyte Migration in Irradiated Mice
  7. Regular article
  8. Expression and characterization of a cutinase (AnCUT2) from Aspergillus niger
  9. Regular article
  10. The Lytic SA Phage Demonstrate Bactericidal Activity against Mastitis Causing Staphylococcus aureus
  11. Regular article
  12. MafB, a target of microRNA-155, regulates dendritic cell maturation
  13. Regular article
  14. Plant regeneration from protoplasts of Gentiana straminea Maxim
  15. Regular article
  16. The effect of radiation of LED modules on the growth of dill (Anethum graveolens L.)
  17. Regular article
  18. ELF-EMF exposure decreases the peroxidase catalytic efficiency in vitro
  19. Regular article
  20. Cold hardening protects cereals from oxidative stress and necrotrophic fungal pathogenesis
  21. Regular article
  22. MC1R gene variants involvement in human OCA phenotype
  23. Regular article
  24. Chondrogenic potential of canine articular cartilage derived cells (cACCs)
  25. Regular article
  26. Cloning, expression, purification and characterization of Leishmania tropica PDI-2 protein
  27. Regular article
  28. High potential of sub-Mediterranean dry grasslands for sheep epizoochory
  29. Regular article
  30. Identification of drought, cadmium and root-lesion nematode infection stress-responsive transcription factors in ramie
  31. Regular article
  32. Herbal supplement formula of Elephantopus scaber and Sauropus androgynus promotes IL-2 cytokine production of CD4+T cells in pregnant mice with typhoid fever
  33. Regular article
  34. Caffeine effects on AdoR mRNA expression in Drosophila melanogaster
  35. Regular article
  36. Effects of MgCl2 supplementation on blood parameters and kidney injury of rats exposed to CCl4
  37. Regular article
  38. Effective onion leaf fleck management and variability of storage pathogens
  39. Regular article
  40. Improving aeration for efficient oxygenation in sea bass sea cages. Blood, brain and gill histology
  41. Regular article
  42. Biogenic amines and hygienic quality of lucerne silage
  43. Regular article
  44. Isolation and characterization of lytic phages TSE1-3 against Enterobacter cloacae
  45. Regular article
  46. Effects of pH on antioxidant and prooxidant properties of common medicinal herbs
  47. Regular article
  48. Relationship between cytokines and running economy in marathon runners
  49. Regular article
  50. Anti-leukemic activity of DNA methyltransferase inhibitor procaine targeted on human leukaemia cells
  51. Regular article
  52. Research Progress in Oncology. Highlighting and Exploiting the Roles of Several Strategic Proteins in Understanding Cancer Biology
  53. Regular article
  54. Ectomycorrhizal communities in a Tuber aestivum Vittad. orchard in Poland
  55. Regular article
  56. Impact of HLA-G 14 bp polymorphism and soluble HLA-G level on kidney graft outcome
  57. Regular article
  58. In-silico analysis of non-synonymous-SNPs of STEAP2: To provoke the progression of prostate cancer
  59. Regular article
  60. Presence of sequence and SNP variation in the IRF6 gene in healthy residents of Guangdong Province
  61. Regular article
  62. Environmental and economic aspects of Triticum aestivum L. and Avena sativa growing
  63. Regular article
  64. A molecular survey of Echinococcus granulosus sensu lato in central-eastern Europe
  65. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  66. Molecular genetics related to non-Hodgkin lymphoma
  67. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  68. Roles of long noncoding RNAs in Hepatocellular Carcinoma
  69. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  70. Advancement of Wnt signal pathway and the target of breast cancer
  71. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  72. A tumor suppressive role of lncRNA GAS5 in human colorectal cancer
  73. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  74. The role of E-cadherin - 160C/A polymorphism in breast cancer
  75. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  76. The proceedings of brain metastases from lung cancer
  77. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  78. Newly-presented potential targeted drugs in the treatment of renal cell cancer
  79. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  80. Decreased expression of miR-132 in CRC tissues and its inhibitory function on tumor progression
  81. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  82. The unusual yin-yang fashion of RIZ1/RIZ2 contributes to the progression of esophageal squamous cell carcinoma
  83. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  84. Human papillomavirus infection mechanism and vaccine of vulva carcinoma
  85. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  86. Abnormal expressed long non-coding RNA IRAIN inhibits tumor progression in human renal cell carcinoma cells
  87. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  88. UCA1, a long noncoding RNA, promotes the proliferation of CRC cells via p53/p21 signaling
  89. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  90. Forkhead box 1 expression is upregulatedin non-small cell lung cancer and correlateswith pathological parameters
  91. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  92. The development of potential targets in the treatment of non-small cell lung cancer
  93. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  94. Low expression of miR-192 in NSCLC and its tumor suppressor functions in metastasis via targeting ZEB2
  95. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  96. Downregulation of long non-coding RNA MALAT1 induces tumor progression of human breast cancer through regulating CCND1 expression
  97. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  98. Post-translational modifications of EMT transcriptional factors in cancer metastasis
  99. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  100. EZH2 Expression and its Correlation with Clinicopathological Features in Patients with Colorectal Carcinoma
  101. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  102. The association between EGFR expression and clinical pathology characteristics in gastric cancer
  103. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  104. The peiminine stimulating autophagy in human colorectal carcinoma cells via AMPK pathway by SQSTM1
  105. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  106. Activating transcription factor 3 is downregulated in hepatocellular carcinoma and functions as a tumor suppressor by regulating cyclin D1
  107. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  108. Progress toward resistance mechanism to epidermal growth factor receptor tyrosine kinase inhibitor
  109. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  110. Effect of miRNAs in lung cancer suppression and oncogenesis
  111. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  112. Role and inhibition of Src signaling in the progression of liver cancer
  113. Topical Issue on Cancer Signaling, Metastasis and Target Therapy
  114. The antitumor effects of mitochondria-targeted 6-(nicotinamide) methyl coumarin
  115. Special Issue on CleanWAS 2015
  116. Characterization of particle shape, zeta potential, loading efficiency and outdoor stability for chitosan-ricinoleic acid loaded with rotenone
  117. Special Issue on CleanWAS 2015
  118. Genetic diversity and population structure of ginseng in China based on RAPD analysis
  119. Special Issue on CleanWAS 2015
  120. Optimizing the extraction of antibacterial compounds from pineapple leaf fiber
  121. Special Issue on CleanWAS 2015
  122. Identification of residual non-biodegradable organic compounds in wastewater effluent after two-stage biochemical treatment
  123. Special Issue on CleanWAS 2015
  124. Remediation of deltamethrin contaminated cotton fields: residual and adsorption assessment
  125. Special Issue on CleanWAS 2015
  126. A best-fit probability distribution for the estimation of rainfall in northern regions of Pakistan
  127. Special Issue on CleanWAS 2015
  128. Artificial Plant Root System Growth for Distributed Optimization: Models and Emergent Behaviors
  129. Special Issue on CleanWAS 2015
  130. The complete mitochondrial genomes of two weevils, Eucryptorrhynchus chinensis and E. brandti: conserved genome arrangement in Curculionidae and deficiency of tRNA-Ile gene
  131. Special Issue on CleanWAS 2015
  132. Characteristics and coordination of source-sink relationships in super hybrid rice
  133. Special Issue on CleanWAS 2015
  134. Construction of a Genetic Linkage Map and QTL Analysis of Fruit-related Traits in an F1 Red Fuji x Hongrou Apple Hybrid
  135. Special Issue on CleanWAS 2015
  136. Effects of the Traditional Chinese Medicine Dilong on Airway Remodeling in Rats with OVA-induced-Asthma
  137. Special Issue on CleanWAS 2015
  138. The effect of sewage sludge application on the growth and absorption rates of Pb and As in water spinach
  139. Special Issue on CleanWAS 2015
  140. Effectiveness of mesenchymal stems cells cultured by hanging drop vs. conventional culturing on the repair of hypoxic-ischemic-damaged mouse brains, measured by stemness gene expression
Downloaded on 25.2.2026 from https://www.degruyterbrill.com/document/doi/10.1515/biol-2016-0060/html
Scroll to top button