
Conserved gene arrangement in the mitochondrial genomes of barklouse families Stenopsocidae and Psocidae
Xiaochen LIU, Hu LI, Yao CAI, Fan SONG, John-James WILSON, Wanzhi CAI
Front. Agr. Sci. Eng. ›› 2017, Vol. 4 ›› Issue (3) : 358-365.
Conserved gene arrangement in the mitochondrial genomes of barklouse families Stenopsocidae and Psocidae
Substantial variation in gene organization and arrangement has been reported for sequenced mitochondrial (mt) genomes from the suborders of the insect order Psocoptera. In this study we sequenced the complete mt genome of Stenopsocus immaculatus, the first representative of the family Stenopsocidae from the suborder Psocomorpha. Relative to the ancestral pattern, rearrangements of a protein-coding gene (nad3) and five tRNA genes (trnQ, trnC, trnN, trnS1, trnE) were found. This pattern was similar to that of two barklice from the family Psocidae, with the exception of the translocation of trnS1, trnE and trnI. Based on comparisons of pairwise breakpoint distances of gene rearrangements, gene number and chromosome number, it was concluded that mt genomes of Stenopsocidae and Psocidae share a relatively conserved pattern of gene rearrangements; mt genomes within the Psocomorpha have been generally stable over long evolutionary history; and mt gene rearrangement has been substantially faster in the booklice (suborder Troctomorpha) than in the barklice (suborders Trogiomorpha and Psocomorpha). It is speculated that the change of life history and persistence of unusual reproductive systems with maternal inheritance contributed to the contrasting rates in mt genome evolution between the barklice and booklice.
gene rearrangement / mitochondrial genome / Psocoptera / Stenopsocidae / TDRL model
Tab.1 Species phylogenetically analyzed in this study |
Order/Suborder | Family | Species | Accession number | Reference |
---|---|---|---|---|
Psocoptera | ||||
Psocomorpha | Psocidae | Psococerastis albimaculata | JQ910986 | [19] |
Longivalvus hyalospilus | JQ910989 | [19] | ||
Stenopsocidae | Stenopsocus immaculatus | KX187004 | Present study | |
Trogiomorpha | Lepidopsocidae | Unidentified species | NC_004816 | [24] |
Troctomorpha | Liposcelidae | L. decolor | JX870621 | [23] |
L. bostrychophila | JN645275-76 | [22] | ||
L. paeta | NC_025505-06 | [21] | ||
L. entomophila | NC_025503-04 | [21] | ||
L. sculptilis | KX171073 | [18] | ||
Hemiptera | ||||
Heteroptera | Pentatomidae | Halyomorpha halys | NC_013272 | [31] |
Fig.1 The mitochondrial genome of the narrow barklouse, Stenopsocus immaculatus. Arrows indicate the orientation of gene transcription. PCGs are shown as blue arrows, rRNA genes as purple arrows, tRNA genes as brown arrows and the control region as gray rectangle. Abbreviations of gene names are: atp6 and atp8 for ATP synthase subunits 6 and 8, cox1–3 for cytochrome oxidase subunits 1–3, cytb for Cytochrome b, nad1–6 and nad4L for NADH dehydrogenase subunits 1–6 and 4L, rrnL and rrnS for large and small rRNA subunits. tRNA genes are shown with their one-letter corresponding amino acids; the two tRNA genes for leucine and serine have different anticodons: L1 (TAG), L2 (TAA), S1 (TCT) and S2 (TGA). The GC content is plotted using a black sliding window, as the deviation from the average GC content of the entire sequence. GC-skew is plotted as the deviation from the average GC-skew of the entire sequence. The inner cycle indicates the location of genes in the mt genome. |
Tab.2 Nucleotide composition of the Stenopsocus immaculatus mitochondrial genome |
Feature | T (U) | C | A | G | A%+ T% | AT-skew | GC-skew |
---|---|---|---|---|---|---|---|
Whole genome | 39.9 | 11.8 | 38.4 | 9.8 | 78.3 | - 0.019 | - 0.093 |
Control region | 42.8 | 7.5 | 41.9 | 7.7 | 84.8 | - 0.011 | 0.015 |
Protein-coding genes | 43.6 | 11.5 | 32.1 | 12.8 | 75.7 | - 0.151 | 0.053 |
First codon position | 35.0 | 10.7 | 35.7 | 18.4 | 70.9 | 0.006 | 0.263 |
Second codon position | 46.0 | 18.3 | 21.3 | 14.3 | 67.4 | - 0.367 | - 0.123 |
Third codon position | 49.0 | 5.5 | 39.5 | 5.6 | 88.9 | - 0.112 | 0.017 |
tRNA genes | 39.7 | 8.3 | 40.1 | 11.9 | 79.8 | 0.005 | 0.175 |
rRNA genes | 43.5 | 6.7 | 39.0 | 10.8 | 82.5 | - 0.055 | 0.234 |
Note: AT-skew= (A% - T%)/(A% + T%); GC-skew= (G% - C%)/(G% + C%). |
Fig.3 Comparison of mitochondrial gene arrangement between Psocomorpha (Stenopsocidae and Psocidae) and the hypothetical ancestor of insects. Abbreviations of gene names follow Fig. 1. Genes are transcribed from left to right except those underlined, which have the opposite transcriptional orientation. Orange frames show two active regions of gene rearrangements. |
Fig.4 Inferred TDRL events that account for the mitochondrial gene rearrangements in the narrow barklouse Stenopsocus immaculatus. (a) Genes between CR and cox1; (b) genes between cox3 and nad4. Genes with crosses below were eliminated. Two longer non-coding sequences are highlighted in orange. |
Fig.5 Phylogenetic relationships among major lineages of the Psocoptera inferred from mitochondrial genome sequences. Numbers close to the branching points are ML bootstrap support values (right) and Bayesian posterior probabilities (left) in percentages. Breakpoint distances are relative to the ancestral arranging pattern. Gene number in the bracket calculates gene without repetitions. |
[1] |
Boore J L. Animal mitochondrial genomes. Nucleic Acids Research, 1999, 27(8): 1767–1780
CrossRef
Pubmed
Google scholar
|
[2] |
Cameron S L. Insect mitochondrial genomics: implications for evolution and phylogeny. Annual Review of Entomology, 2014, 59(1): 95–117
CrossRef
Pubmed
Google scholar
|
[3] |
Song F, Li H, Shao R, Shi A, Bai X, Zheng X, Heiss E, Cai W. Rearrangement of mitochondrial tRNA genes in flat bugs (Hemiptera: Aradidae). Scientific Reports, 2016, 6(1): 25725
CrossRef
Pubmed
Google scholar
|
[4] |
Gillett C P, Crampton-Platt A, Timmermans M J, 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). Molecular Biology and Evolution, 2014, 31(8): 2223–2237
CrossRef
Pubmed
Google scholar
|
[5] |
Li H, Shao R, Song N, Song F, Jiang P, Li Z, Cai W. Higher-level phylogeny of paraneopteran insects inferred from mitochondrial genome sequences. Scientific Reports, 2015, 5(1): 8527
CrossRef
Pubmed
Google scholar
|
[6] |
Song F, Li H, Jiang P, Zhou X, Liu J, Sun C, Vogler A P, Cai W. Capturing the phylogeny of Holometabola with mitochondrial genome data and Bayesian site-heterogeneous mixture models. Genome Biology and Evolution, 2016, 8(5): 1411–1426
CrossRef
Pubmed
Google scholar
|
[7] |
Tang M, Hardman C J, Ji Y, Meng G, Liu S, Tan M, Yang S, Moss E D, Wang J, Yang C, Bruce C, Nevard T, Potts S G, Zhou X, Yu D W. High-throughput monitoring of wild bee diversity and abundance via mitogenomics. Methods in Ecology and Evolution, 2015, 6(9): 1034–1043
CrossRef
Pubmed
Google scholar
|
[8] |
Ma C, Yang P, Jiang F, Chapuis M P, Shali Y, Sword G A, Kang L. Mitochondrial genomes reveal the global phylogeography and dispersal routes of the migratory locust. Molecular Ecology, 2012, 21(17): 4344–4358
CrossRef
Pubmed
Google scholar
|
[9] |
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. Annual Review of Ecology Evolution and Systematics, 2006, 37(1): 545–579
CrossRef
Google scholar
|
[10] |
Crampton-Platt A, Yu D W, Zhou X, Vogler A P. Mitochondrial metagenomics: letting the genes out of the bottle. GigaScience, 2016, 5(1): 15
CrossRef
Pubmed
Google scholar
|
[11] |
Wolstenholme D R. Genetic novelties in mitochondrial genomes of multicellular animals. Current Opinion in Genetics & Development, 1992, 2(6): 918–925
CrossRef
Pubmed
Google scholar
|
[12] |
McBride H M, Neuspiel M, Wasiak S. Mitochondria: more than just a powerhouse. Current Biology, 2006, 16(14): R551–R560
CrossRef
Pubmed
Google scholar
|
[13] |
Clary D O, Wolstenholme D R. The mitochondrial DNA molecular of Drosophila yakuba: nucleotide sequence, gene organization, and genetic code. Journal of Molecular Evolution, 1985, 22(3): 252–271
CrossRef
Pubmed
Google scholar
|
[14] |
Shao R, Campbell N J, Barker S C. Numerous gene rearrangements in the mitochondrial genome of the wallaby louse, Heterodoxus macropus (Phthiraptera). Molecular Biology and Evolution, 2001, 18(5): 858–865
CrossRef
Pubmed
Google scholar
|
[15] |
Dowton M, Austin A D. Evolutionary dynamics of a mitochondrial rearrangement “hot spot” in the Hymenoptera. Molecular Biology and Evolution, 1999, 16(2): 298–309
CrossRef
Pubmed
Google scholar
|
[16] |
Shao R, Barker S C. The highly rearranged mitochondrial genome of the plague thrips, Thrips imaginis (Insecta: Thysanoptera): convergence of two novel gene boundaries and an extraordinary arrangement of rRNA genes. Molecular Biology and Evolution, 2003, 20(3): 362–370
CrossRef
Pubmed
Google scholar
|
[17] |
Shao R, Li H, Barker S C, Song S. The mitochondrial genome of the guanaco louse, Microthoracius praelongiceps: insights into the ancestral mitochondrial karyotype of sucking lice (Anoplura, Insecta). Genome Biology and Evolution, 2017, 9(2): 431–445
CrossRef
Pubmed
Google scholar
|
[18] |
Shi Y, Chu Q, Wei D D, Qiu Y J, Shang F, Dou W, Wang J J. The mitochondrial genome of booklouse, Liposcelis sculptilis (Psocoptera: Liposcelididae) and the evolutionary timescale of Liposcelis. Scientific Reports, 2016, 6(1): 30660
CrossRef
Pubmed
Google scholar
|
[19] |
Li H, Shao R, Song F, Zhou X, Yang Q, Li Z, Cai W. Mitochondrial genomes of two Barklice, Psococerastis albimaculata and Longivalvus hyalospilus (Psocoptera: Psocomorpha): contrasting rates in mitochondrial gene rearrangement between major lineages of Psocodea. PLoS One, 2013, 8(4): e61685
CrossRef
Pubmed
Google scholar
|
[20] |
Lienhard C, Smithers C N. Psocoptera: world catalogue and bibliography. Geneva: Muséum d’Histoire Naturelle Press, 2002.
|
[21] |
Chen S C, Wei D D, Shao R, Shi J X, Dou W, Wang J J. Evolution of multipartite mitochondrial genomes in the booklice of the genus Liposcelis (Psocoptera). BMC Genomics, 2014, 15(1): 861
CrossRef
Pubmed
Google scholar
|
[22] |
Wei D D, Shao R, Yuan M L, Dou W, Barker S C, Wang J J. The multipartite mitochondrial genome of Liposcelis bostrychophila: insights into the evolution of mitochondrial genomes in bilateral animals. PLoS One, 2012, 7(3): e33973
CrossRef
Pubmed
Google scholar
|
[23] |
Chen S C, Wei D D, Shao R, Dou W, Wang J J. The complete mitochondrial genome of the booklouse, Liposcelis decolor: insights into gene arrangement and genome organization within the genus Liposcelis. PLoS One, 2014, 9(3): e91902
CrossRef
Pubmed
Google scholar
|
[24] |
Shao R, Dowton M, Murrell A, Barker S C. Rates of gene rearrangement and nucleotide substitution are correlated in the mitochondrial genomes of insects. Molecular Biology and Evolution, 2003, 20(10): 1612–1619
CrossRef
Pubmed
Google scholar
|
[25] |
Li H, Liu H, Shi A, Štys P, Zhou X, Cai W. The complete mitochondrial genome and novel gene arrangement of the unique-headed bug Stenopirates sp. (Hemiptera: Enicocephalidae). PLoS One, 2012, 7(1): e29419
CrossRef
Pubmed
Google scholar
|
[26] |
Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, Sturrock S, Buxton S, Cooper A, Markowitz S, Duran C, Thierer T, Ashton B, Meintjes P, Drummond A. Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics, 2012, 28(12): 1647–1649
CrossRef
Pubmed
Google scholar
|
[27] |
Lowe T M, Eddy S R. tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Research, 1997, 25(5): 955–964
CrossRef
Pubmed
Google scholar
|
[28] |
Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: molecular evolutionary genetics analysis version 6.0. Molecular Biology and Evolution, 2013, 30(12): 2725–2729
CrossRef
Pubmed
Google scholar
|
[29] |
Librado P, Rozas J. DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics, 2009, 25(11): 1451–1452
CrossRef
Pubmed
Google scholar
|
[30] |
Bernt M, Merkle D, Ramsch K, Fritzsch G, Perseke M, Bernhard D, Schlegel M, Stadler P F, Middendorf M. CREx: inferring genomic rearrangements based on common intervals. Bioinformatics, 2007, 23(21): 2957–2958
CrossRef
Pubmed
Google scholar
|
[31] |
Lee W, Kang J, Jung C, Hoelmer K, Lee S H, Lee S. Complete mitochondrial genome of brown marmorated stink bug Halyomorpha halys (Hemiptera: Pentatomidae), and phylogenetic relationships of hemipteran suborders. Molecules and Cells, 2009, 28(3): 155–165
CrossRef
Pubmed
Google scholar
|
[32] |
Abascal F, Zardoya R, Telford M J. TranslatorX: multiple alignment of nucleotide sequences guided by amino acid translations. Nucleic Acids Research, 2010, 38(Web Server issue): W7–W13
CrossRef
Pubmed
Google scholar
|
[33] |
Katoh K, Standley D M. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Molecular Biology and Evolution, 2013, 30(4): 772–780
CrossRef
Pubmed
Google scholar
|
[34] |
Ronquist F, Teslenko M, van der Mark P, Ayres D L, Darling A, Höhna S, Larget B, Liu L, Suchard M A, Huelsenbeck J P. MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Systematic Biology, 2012, 61(3): 539–542
CrossRef
Pubmed
Google scholar
|
[35] |
Stamatakis A. RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics, 2006, 22(21): 2688–2690
CrossRef
Pubmed
Google scholar
|
[36] |
Posada D. jModelTest: phylogenetic model averaging. Molecular Biology and Evolution, 2008, 25(7): 1253–1256
CrossRef
Pubmed
Google scholar
|
[37] |
Huelsenbeck J P, Ronquist F, Nielsen R, Bollback J P. Bayesian inference of phylogeny and its impact on evolutionary biology. Science, 2001, 294(5550): 2310–2314
CrossRef
Pubmed
Google scholar
|
[38] |
Ojala D, Montoya J, Attardi G. tRNA punctuation model of RNA processing in human mitochondria. Nature, 1981, 290(5806): 470–474
CrossRef
Pubmed
Google scholar
|
[39] |
Wang G, Vasquez K M. Naturally occurring H-DNA-forming sequences are mutagenic in mammalian cells. Proceedings of the National Academy of Sciences of the United States of America, 2004, 101(37): 13448–13453
CrossRef
Pubmed
Google scholar
|
[40] |
Jain A, Wang G, Vasquez K M. DNA triple helices: biological consequences and therapeutic potential. Biochimie, 2008, 90(8): 1117–1130
CrossRef
Pubmed
Google scholar
|
[41] |
Zhang D X, Hewitt G M. Insect mitochondrial control region: a review of its structure, evolution and usefulness in evolutionary studies. Biochemical Systematics and Ecology, 1997, 25(2): 99–120
CrossRef
Google scholar
|
[42] |
Yoshizawa K. Phylogeny and higher classification of suborder Psocomorpha (Insecta: Psocodea: ‘Psocoptera’). Zoological Journal of the Linnean Society, 2002, 136(3): 371–400
CrossRef
Google scholar
|
[43] |
Perlman S J, Hodson C N, Hamilton P T, Opit G P, Gowen B E. Maternal transmission, sex ratio distortion, and mitochondria. Proceedings of the National Academy of Sciences of the United States of America, 2015, 112(33): 10162–10168
CrossRef
Pubmed
Google scholar
|
Supplementary files
FASE-17158-OF-LXC_suppl_1 (379 KB)
/
〈 |
|
〉 |