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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Insect Sci.</journal-id>
<journal-title>Frontiers in Insect Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Insect Sci.</abbrev-journal-title>
<issn pub-type="epub">2673-8600</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/finsc.2025.1536160</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Insect Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Unravelling the complete mitochondrial genomes of <italic>Thrips tabaci</italic> Lindeman and <italic>Thrips parvispinus</italic> Karny (Thysanoptera: Thripidae) and their phylogenetic implications</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Soumia</surname>
<given-names>P.S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Shirsat</surname>
<given-names>Dhananjay V.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Karuppaiah</surname>
<given-names>Vadivelu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Divekar</surname>
<given-names>Pratap A.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Mahajan</surname>
<given-names>Vijay</given-names>
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<sup>1</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>Crop Protection Section, ICAR-Directorate of Onion and Garlic Research</institution>, <addr-line>Pune, Maharashtra</addr-line>, <country>India</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Division of Crop Protection, ICAR- Indian Institute of Vegetable Research</institution>, <addr-line>Varanasi, Uttar Pradesh</addr-line>, <country>India</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Tiago Fernandes Carrijo, Universidade Federal do ABC, Brazil</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Menglin Wang, University of California, Berkeley, United States</p>
<p>Alina Mikhailova, University of M&#xfc;nster, Germany</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: P.S. Soumia, <email xlink:href="mailto:soumiaps@gmail.com">soumiaps@gmail.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>02</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>5</volume>
<elocation-id>1536160</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>11</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>02</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Soumia, Shirsat, Karuppaiah, Divekar and Mahajan</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Soumia, Shirsat, Karuppaiah, Divekar and Mahajan</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Onion (<italic>Allium cepa</italic> Linnaeus) is an important vegetable crop valued for its nutritional properties and economics worldwide. Onion cultivation faces serious threats from pests and diseases, particularly onion thrips (<italic>Thrips tabaci</italic>), which cause substantial yield losses. Recently, Black thrips (<italic>Thrips parvispinus</italic>), an invasive key pest of chili, have been reported to cause severe damage in onion crop and is likely to devastate the onion cultivation in near future. Therefore, this study was conducted to address the knowledge gap concerning the genetic basis and evolutionary history of <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> through sequencing of their mitochondrial genomes. <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> were collected from different locations in Maharashtra, India, and reared in the laboratory. The mitochondrial genomes of <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> were sequenced to a length of 15,277 and 15,285 bp, respectively. Both genomes exhibited similar gene organization with regard to thirteen protein-coding genes and two <italic>rRNA</italic> genes. <italic>T. tabaci</italic> contained 19 <italic>tRNA</italic> genes whereas <italic>T. parvispinus</italic> contained 18 <italic>tRNA</italic> genes. The evolutionary positions of <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> within the Thysanoptera order were elucidated through phylogenetic analysis of the mitogenomes of 15 thrips species. These findings provide crucial insights into the genetic makeup and evolutionary dynamics of both the thrips species, thereby aiding the development of novel and sustainable pest management strategies to mitigate their impacts on crops in the changing climate scenario.</p>
</abstract>
<kwd-group>
<kwd>invasive pest</kwd>
<kwd>mitochondrial genome</kwd>
<kwd>phylogeny</kwd>
<kwd>
<italic>Thrips parvispinus</italic>
</kwd>
<kwd>
<italic>Thrips tabaci</italic>
</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="66"/>
<page-count count="15"/>
<word-count count="6297"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Insect Systematics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Onion (<italic>Allium cepa</italic> L.) is widely acknowledged as an important vegetable crop worldwide, extensively grown and consumed for its culinary and nutritional value, and plays a vital role in the economies of many countries (<xref ref-type="bibr" rid="B1">1</xref>). Onion cultivation is particularly widespread in India, which is one of the world&#x2019;s leading producer and exporter (<xref ref-type="bibr" rid="B2">2</xref>). However, onion production faces numerous challenges due to the prevalence of various pests and diseases, which lead to substantial yield losses (<xref ref-type="bibr" rid="B3">3</xref>). Globally, onion growers are concerned about onion thrips, <italic>Thrips tabaci</italic> Lindeman (Thysanoptera: Thripidae) (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). In India, this pest is considered of national significance, causing 30% to 40% yield loss in onion crops (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Thrips infestation not only weakens the plants but also makes them susceptible to secondary infections and diseases, which exacerbates economic impacts on farmers (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). These pests are known vectors for various plant viruses, including the iris yellow spot virus (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B10">10</xref>), and they also transmit diseases like Stemphylium leaf blight and bacterial leaf blight (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). Virus-vector relationship have been well documented in the case of thrips; however, their interaction with fungal pathogens remains largely unexplored (Saini et&#xa0;al., 2024). Moreover, thrips usually exhibit genetic heterogeneity, which might be due to the spatial variation in insecticide efficacy (<xref ref-type="bibr" rid="B14">14</xref>). Based on mitochondrial DNA sequences, <italic>T. tabaci</italic> has been classified into three biotypes: one associated with tobacco and two associated with leek (L1 and L2) (<xref ref-type="bibr" rid="B15">15</xref>). Also, due to the anticipated increase in temperature, the lifecycle of <italic>T. tabaci</italic> is likely to shorten, leading to multiple generations within a single crop season (<xref ref-type="bibr" rid="B16">16</xref>). Currently, onion growers rely on chemical pesticides to manage these pests, but it often seems futile due to their overlapping generations, concealed feeding behavior, and growing insecticide resistance (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>Similarly, <italic>Thrips parvispinus</italic> (Southeast Asian thrips or black thrips), are known to infest a variety of host plants, including vegetables, ornamentals, and field crops. Recently, <italic>T. parvispinus</italic> has been found infesting onion crops (<xref ref-type="bibr" rid="B19">19</xref>), which could pose a substantial threat in the near future (<xref ref-type="bibr" rid="B20">20</xref>). The inclusion of <italic>T. parvispinus</italic> in the list of onion pests reveals a potential gap in our understanding of thrips species interactions and their impact on onions. A comprehensive understanding of the biology, genetics, and evolutionary relationships of thrips is required to tackle these pests in onion and to devise appropriate management strategies. Recent advancements in molecular biology have enabled researchers to explore the genetic makeup of various organisms, providing insight into their evolutionary histories and ultimately helping in devising novel pest management strategies.</p>
<p>The increasing interest in mitochondrial genomes for phylogenetic studies has led to a surge in published mitogenome sequences, particularly amongst insects. Although the complete mitochondrial genomes of several thrips species, such as <italic>Thrips imagines</italic> (<xref ref-type="bibr" rid="B21">21</xref>), <italic>Frankliniella occidentalis</italic> (<xref ref-type="bibr" rid="B22">22</xref>), <italic>Frankliniella intonsa</italic> (<xref ref-type="bibr" rid="B23">23</xref>), <italic>Scirtothrips dorsalis</italic> (<xref ref-type="bibr" rid="B24">24</xref>), <italic>Anaphothrips obscurus</italic> (<xref ref-type="bibr" rid="B25">25</xref>), <italic>Thrips palmi</italic> (<xref ref-type="bibr" rid="B26">26</xref>), <italic>Dendrothrips minowai</italic> (<xref ref-type="bibr" rid="B27">27</xref>), <italic>Thrips hawaiiensis</italic> (<xref ref-type="bibr" rid="B28">28</xref>), <italic>Thrips parvispinus</italic> (<xref ref-type="bibr" rid="B29">29</xref>) and <italic>Aptinothrips stylifer</italic> (<xref ref-type="bibr" rid="B30">30</xref>), have been sequenced, comprehensive research specifically focusing on onion thrips is unexplored. Insect mitogenomes are small, circular, and consist of 37 genes: 13 protein-coding genes (PCGs), two ribosomal RNA genes (rRNAs), and 22 transfer RNA genes (tRNAs), along with a large A+T-rich control region (CR) that regulates transcription and replication (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). Their maternal inheritance, conserved gene content, and rapid evolutionary rate make mitogenomes valuable molecular markers for evolutionary research (<xref ref-type="bibr" rid="B33">33</xref>). The significant variation in mitochondrial genome organization observed within the subfamily Thripinae is highly unusual and contrasts with patterns seen in most other animals. The reasons behind the rapid evolution of mitochondrial genomes in Thripinae, as well as the evolutionary dynamics of mitochondrial genomes in other thrips, remain to be explored (<xref ref-type="bibr" rid="B25">25</xref>). In this context, the present study on the complete mitogenome of <italic>T. tabaci</italic> and its phylogenetic implications is of great significance. Furthermore, comparative studies of different thrips mitogenomes will help in elucidating the evolutionary patterns and population dynamics within the Thysanoptera order. Therefore, the study aims to address the knowledge gap by presenting the complete mitochondrial genome sequences of <italic>T. tabaci</italic> and <italic>T. parvispinus</italic>. This will offer valuable insights into their evolutionary relationships, population structure, and genetic diversity, ultimately aiding in devising an effective pest management strategy.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Sample collection</title>
<p>Adults of onion thrips were collected from onion plants and initially reared in the laboratory on French beans at the ICAR-Directorate of Onion and Garlic Research (ICAR-DOGR) in Pune, Maharashtra, India (latitude: 18.84&#xb0;N, longitude: 73.88&#xb0;E, 616.29 meters above sea level). After completing their life cycle, adults emerged from individual eggs, were collected and used for further analysis. Meanwhile, Black thrips from chili plants in a farmer&#x2019;s field (latitude: 18.87&#xb0;N, longitude: 74.05&#xb0;E, elevation: 667.84 meters) were collected and preserved in 99% ethanol for further analysis. The species identity of these specimens was confirmed through DNA barcoding of the <italic>COX-1</italic> gene, and their sequence information has been submitted in the NCBI GeneBank database with accession numbers PP980527 and PP982736 for <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> respectively.</p>
</sec>
<sec id="s2_2">
<title>Sample preparation and DNA isolation</title>
<p>Single adults of <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> were macerated in liquid nitrogen, and total genomic DNA was extracted using the DNeasy Blood and Tissue Kit (QIAGEN, Germany). The integrity of isolated total DNA was visualized on 1% agarose gel and further quantified using a nanodrop (Bio-Rad, Hercules, California, USA). Mitochondrial DNA was then synthesized from the total DNA using the REPLI-g Mitochondrial DNA Kit (QIAGEN, Germany).</p>
</sec>
<sec id="s2_3">
<title>Sequence assembly, annotation, and analysis</title>
<p>The genome library was constructed with the QIASeq FX DNA kit (QIAGEN, Germany), and sequencing was performed on an Illumina NextSeq 2000 platform using 300-cycle paired-end chemistry, generating primary FASTQ data. These FASTQ files were assessed for total bases, read counts, GC%, Q30, and uncertain base percentages. Reads of high quality were obtained by eliminating adaptor contamination, ambiguous reads, and junk sequences using the fastp tool (v0.12.4) (<xref ref-type="bibr" rid="B34">34</xref>). Subsequently, BWA MEM (v0.7.17) was used to align the cleaned reads to the reference sequence (<xref ref-type="bibr" rid="B35">35</xref>). Protein-coding and RNA genes were identified from the consensus sequence with SAM tools&#x2019; mpileup (<xref ref-type="bibr" rid="B36">36</xref>). A <italic>de novo</italic> assembly using a de Bruijn graph approach was performed to construct longer DNA contigs, and the mitogenome was assembled using the MEGAHIT tool (<xref ref-type="bibr" rid="B37">37</xref>) as part of the MitoZ package (<xref ref-type="bibr" rid="B38">38</xref>). The quality of assembly was evaluated using the Quast tool (<xref ref-type="bibr" rid="B39">39</xref>).</p>
<p>Gene annotation for the mitogenome was conducted with the Prokka annotation tool (<xref ref-type="bibr" rid="B40">40</xref>) on the Proksee web server (<ext-link ext-link-type="uri" xlink:href="https://proksee.ca/">https://proksee.ca/</ext-link>) (<xref ref-type="bibr" rid="B41">41</xref>), producing a circular genome map, GC concentration, and GC skew. For tRNA gene structure prediction and mitogenome assessment, MITOS2 (<xref ref-type="bibr" rid="B42">42</xref>) at the Galaxy Europe Web Server (<ext-link ext-link-type="uri" xlink:href="https://usegalaxy.eu/">https://usegalaxy.eu/</ext-link>) was used.</p>
<p>The relative synonymous codon usage (RSCU), codon usage, and base composition (A+T contents) of the PCGs were analyzed using MEGA Software (v11.0.13) (<xref ref-type="bibr" rid="B43">43</xref>). The GC skewness was computed using the formula GC skew = (G-C)/(G+C); whereas the formula AT skew = (A-T)/(A+T) was used for determining the AT skewness (<xref ref-type="bibr" rid="B44">44</xref>). Intergenic spacers and gene overlaps were manually determined. The complete mitochondrial genomes of <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> were submitted to the NCBI genome database under accession numbers PQ197393 and PQ197392, respectively.</p>
</sec>
<sec id="s2_4">
<title>Phylogenetic analysis</title>
<p>The evolutionary studies related to <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> with the metagenome of 14 other thrips species were analyzed using the NCBI retrieved sequence information. The damsel bug, <italic>Alloeorhynchus bakeri</italic>, was used as an outgroup species. The nucleotide sequences of 13 protein coding genes of 16 thrips species and one outgroup species were aligned individually using MAFFT 7, the Database of Aligned Structure Homologue (DASH) was utilized to incorporate homologous structures based on amino acid codons (<xref ref-type="bibr" rid="B45">45</xref>). Followed by removal of the ambiguously aligned sites, the aligned amino acid sequences were then converted to the nucleic acid sequence. For phylogenetic analysis the sequences of 13 PCGs were concatenated in following order: nad5, nad4, nad4L, nad6, cox1, nad3, cox2, cox3, atp6, atp8, nad1, nad2 and cytB in a single sequence of each species. All the 17 sequences were aligned using CLustalW tool (<xref ref-type="bibr" rid="B46">46</xref>). The phylogenetic tree was constructed using the Maximum Likelihood method in MEGA 11 software (<xref ref-type="bibr" rid="B43">43</xref>), employing the general time reversible model with gamma distribution (GTR+G) and bootstrap values from 500 iterations.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Structure and composition of mitogenome</title>
<p>The circular genome of <italic>T. tabaci</italic> is 15,277 bp long (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>), comprising 34 sequence elements (such as 13 PCGs, 19 tRNAs, and 2 rRNA-coding genes). Strand localization analysis revealed 19 genes located on the H-strand (+), whereas 15 genes on the L-strand (&#x2013;) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Gene length in the <italic>T. tabaci</italic> mitochondrion was 400 bp on average, with minimum and maximum lengths of 57 bp (trnS1) and 1695 bp (nad5), respectively. Base compositions of the complete mitochondrial genome of <italic>T. tabaci</italic> were 41.3%, 34.8%, 12%, and 11.9% for A, T, G, and C nucleotides. The 13 PCGs and two rRNAs had AT contents ranging from 69.80% to 82.50%, whereas the overall mitogenome had 76.10%. In contrast, the GC content varied from 17.50% to 30.20% for the 13 PCGs and 2 rRNAs, whereas the overall mitogenome had 23.90%.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Circular genome map of <bold>(A)</bold> <italic>T. tabaci</italic> and <bold>(B)</bold> <italic>T. parvispinus</italic> showing mitogenome sequence features.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-05-1536160-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Summary of <italic>Thrips tabaci</italic> mitochondrial genome.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center">Gene Name</th>
<th valign="top" rowspan="2" align="center">Full Name and Function</th>
<th valign="top" rowspan="2" align="center">Gene Type</th>
<th valign="top" colspan="2" align="center">Position</th>
<th valign="top" rowspan="2" align="center">Length (bp)</th>
<th valign="top" rowspan="2" align="center">Strand</th>
<th valign="top" rowspan="2" align="center">Intergenic Space</th>
<th valign="top" colspan="2" align="center">Codon</th>
<th valign="top" rowspan="2" align="center">Anti-codon</th>
</tr>
<tr>
<th valign="middle" align="center">Start</th>
<th valign="middle" align="center">End</th>
<th valign="middle" align="center">Start</th>
<th valign="middle" align="center">Stop</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">nad5</td>
<td valign="bottom" align="left">NADH dehydrogenase subunit 5</td>
<td valign="bottom" align="left">PCG</td>
<td valign="bottom" align="right">205</td>
<td valign="bottom" align="right">1899</td>
<td valign="bottom" align="right">1695</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">-12</td>
<td valign="bottom" align="center">att</td>
<td valign="bottom" align="center">tag</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">trnH</td>
<td valign="bottom" align="left">Transfer RNA for Histidine</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">1888</td>
<td valign="bottom" align="right">1948</td>
<td valign="bottom" align="right">61</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">10</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">gtg</td>
</tr>
<tr>
<td valign="bottom" align="left">nad4</td>
<td valign="bottom" align="left">NADH dehydrogenase subunit 4</td>
<td valign="bottom" align="left">PCG</td>
<td valign="bottom" align="right">1959</td>
<td valign="bottom" align="right">2966</td>
<td valign="bottom" align="right">1008</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">292</td>
<td valign="bottom" align="center">att</td>
<td valign="bottom" align="center">t</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">nad4L</td>
<td valign="bottom" align="left">NADH dehydrogenase subunit 4L</td>
<td valign="bottom" align="left">PCG</td>
<td valign="bottom" align="right">3259</td>
<td valign="bottom" align="right">3531</td>
<td valign="bottom" align="right">273</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">26</td>
<td valign="bottom" align="center">atg</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">trnC</td>
<td valign="bottom" align="left">Transfer RNA for Cysteine</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">3558</td>
<td valign="bottom" align="right">3617</td>
<td valign="bottom" align="right">60</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">31</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">gca</td>
</tr>
<tr>
<td valign="bottom" align="left">nad6</td>
<td valign="bottom" align="left">NADH dehydrogenase subunit 6</td>
<td valign="bottom" align="left">PCG</td>
<td valign="bottom" align="right">3649</td>
<td valign="bottom" align="right">4122</td>
<td valign="bottom" align="right">474</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">51</td>
<td valign="bottom" align="center">att</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">rrnL</td>
<td valign="bottom" align="left">16S ribosomal RNA</td>
<td valign="bottom" align="left">rRNA</td>
<td valign="bottom" align="right">4174</td>
<td valign="bottom" align="right">5325</td>
<td valign="bottom" align="right">1152</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">22</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">COX1</td>
<td valign="bottom" align="left">cytochrome c oxidase subunit I</td>
<td valign="bottom" align="left">PCG</td>
<td valign="bottom" align="right">5348</td>
<td valign="bottom" align="right">6889</td>
<td valign="bottom" align="right">1542</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">65</td>
<td valign="bottom" align="center">ata</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">nad3</td>
<td valign="bottom" align="left">NADH dehydrogenase subunit 3</td>
<td valign="bottom" align="left">PCG</td>
<td valign="bottom" align="right">6955</td>
<td valign="bottom" align="right">7305</td>
<td valign="bottom" align="right">351</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">-1</td>
<td valign="bottom" align="center">att</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">COX2</td>
<td valign="bottom" align="left">cytochrome c oxidase subunit II</td>
<td valign="bottom" align="left">PCG</td>
<td valign="bottom" align="right">7305</td>
<td valign="bottom" align="right">7964</td>
<td valign="bottom" align="right">660</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">11</td>
<td valign="bottom" align="center">ata</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">trnG</td>
<td valign="bottom" align="left">Transfer RNA for Glycine</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">7976</td>
<td valign="bottom" align="right">8037</td>
<td valign="bottom" align="right">62</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">3</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">tcc</td>
</tr>
<tr>
<td valign="bottom" align="left">trnK</td>
<td valign="bottom" align="left">Transfer RNA for Lysine</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">8041</td>
<td valign="bottom" align="right">8102</td>
<td valign="bottom" align="right">62</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">10</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">ttt</td>
</tr>
<tr>
<td valign="bottom" align="left">COX3</td>
<td valign="bottom" align="left">cytochrome c oxidase subunit III</td>
<td valign="bottom" align="left">PCG</td>
<td valign="bottom" align="right">8113</td>
<td valign="bottom" align="right">8895</td>
<td valign="bottom" align="right">783</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">0</td>
<td valign="bottom" align="center">ata</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">trnN</td>
<td valign="bottom" align="left">Transfer RNA for Asparagine</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">8896</td>
<td valign="bottom" align="right">8959</td>
<td valign="bottom" align="right">64</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">-3</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">gtt</td>
</tr>
<tr>
<td valign="bottom" align="left">trnT</td>
<td valign="bottom" align="left">Transfer RNA for Threonine</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">8957</td>
<td valign="bottom" align="right">9019</td>
<td valign="bottom" align="right">63</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">-1</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">tgt</td>
</tr>
<tr>
<td valign="bottom" align="left">trnL1</td>
<td valign="bottom" align="left">Transfer RNA for Leucine</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">9019</td>
<td valign="bottom" align="right">9082</td>
<td valign="bottom" align="right">64</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">2</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">tag</td>
</tr>
<tr>
<td valign="bottom" align="left">trnE</td>
<td valign="bottom" align="left">Transfer RNA for Glutamic acid</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">9085</td>
<td valign="bottom" align="right">9147</td>
<td valign="bottom" align="right">63</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">8</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">ttc</td>
</tr>
<tr>
<td valign="bottom" align="left">trnS1</td>
<td valign="bottom" align="left">Transfer RNA for Serine</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">9156</td>
<td valign="bottom" align="right">9212</td>
<td valign="bottom" align="right">57</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">6</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">tct</td>
</tr>
<tr>
<td valign="bottom" align="left">trnQ</td>
<td valign="bottom" align="left">Transfer RNA for Glutamine</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">9219</td>
<td valign="bottom" align="right">9286</td>
<td valign="bottom" align="right">68</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">37</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">ttg</td>
</tr>
<tr>
<td valign="bottom" align="left">trnS2</td>
<td valign="bottom" align="left">Transfer RNA for Serine</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">9324</td>
<td valign="bottom" align="right">9387</td>
<td valign="bottom" align="right">64</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">tga</td>
</tr>
<tr>
<td valign="bottom" align="left">trnD</td>
<td valign="bottom" align="left">Transfer RNA for Aspertic acid</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">9388</td>
<td valign="bottom" align="right">9451</td>
<td valign="bottom" align="right">64</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">451</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">gtc</td>
</tr>
<tr>
<td valign="bottom" align="left">trnR</td>
<td valign="bottom" align="left">Transfer RNA for Arginine</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">9903</td>
<td valign="bottom" align="right">9968</td>
<td valign="bottom" align="right">66</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">18</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">tcg</td>
</tr>
<tr>
<td valign="bottom" align="left">ATP6</td>
<td valign="bottom" align="left">ATP synthase F0 subunit 6</td>
<td valign="bottom" align="left">PCG</td>
<td valign="bottom" align="right">9987</td>
<td valign="bottom" align="right">10607</td>
<td valign="bottom" align="right">621</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">50</td>
<td valign="bottom" align="center">ata</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">ATP8</td>
<td valign="bottom" align="left">ATP synthase F0 subunit 8</td>
<td valign="bottom" align="left">PCG</td>
<td valign="bottom" align="right">10658</td>
<td valign="bottom" align="right">10860</td>
<td valign="bottom" align="right">203</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">-54</td>
<td valign="bottom" align="center">att</td>
<td valign="bottom" align="center">t</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">rrnS</td>
<td valign="bottom" align="left">12S ribosomal RNA</td>
<td valign="bottom" align="left">rRNA</td>
<td valign="bottom" align="right">10807</td>
<td valign="bottom" align="right">11413</td>
<td valign="bottom" align="right">607</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">116</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">trnF</td>
<td valign="bottom" align="left">Transfer RNA for Phenylalanine</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">11530</td>
<td valign="bottom" align="right">11594</td>
<td valign="bottom" align="right">65</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">-1</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">gaa</td>
</tr>
<tr>
<td valign="bottom" align="left">trnA</td>
<td valign="bottom" align="left">Transfer RNA for Alanine</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">11594</td>
<td valign="bottom" align="right">11656</td>
<td valign="bottom" align="right">63</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">2</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">tgc</td>
</tr>
<tr>
<td valign="bottom" align="left">trnM</td>
<td valign="bottom" align="left">Transfer RNA for Methionine</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">11659</td>
<td valign="bottom" align="right">11721</td>
<td valign="bottom" align="right">63</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">-4</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">cat</td>
</tr>
<tr>
<td valign="bottom" align="left">nad1</td>
<td valign="bottom" align="left">NADH dehydrogenase subunit 2</td>
<td valign="bottom" align="left">PCG</td>
<td valign="bottom" align="right">11718</td>
<td valign="bottom" align="right">12641</td>
<td valign="bottom" align="right">924</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">6</td>
<td valign="bottom" align="center">ata</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">nad2</td>
<td valign="bottom" align="left">NADH dehydrogenase subunit 1</td>
<td valign="bottom" align="left">PCG</td>
<td valign="bottom" align="right">12648</td>
<td valign="bottom" align="right">13628</td>
<td valign="bottom" align="right">981</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">73</td>
<td valign="bottom" align="center">att</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">trnY</td>
<td valign="bottom" align="left">Transfer RNA for Tyrosine</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">13702</td>
<td valign="bottom" align="right">13765</td>
<td valign="bottom" align="right">64</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">-3</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">gta</td>
</tr>
<tr>
<td valign="bottom" align="left">CYTB</td>
<td valign="bottom" align="left">cytochrome b</td>
<td valign="bottom" align="left">PCG</td>
<td valign="bottom" align="right">13763</td>
<td valign="bottom" align="right">14908</td>
<td valign="bottom" align="right">1146</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">-29</td>
<td valign="bottom" align="center">ata</td>
<td valign="bottom" align="center">tag</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">trnI</td>
<td valign="bottom" align="left">Transfer RNA for Isoleucine</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">14880</td>
<td valign="bottom" align="right">14943</td>
<td valign="bottom" align="right">64</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">2</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">gat</td>
</tr>
<tr>
<td valign="bottom" align="left">trnP</td>
<td valign="bottom" align="left">Transfer RNA for Proline</td>
<td valign="bottom" align="left">tRNA</td>
<td valign="bottom" align="right">14946</td>
<td valign="bottom" align="right">15008</td>
<td valign="bottom" align="right">63</td>
<td valign="bottom" align="center">+</td>
<td valign="bottom" align="center">268</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">tgg</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The AT skewness for the 13 PCGs ranged from 0.426 to 0.033, higher than that of the rRNA genes, rrnS (-0.193) and rrnL (0.180) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The 1560 bp of intergenic nucleotides were spread across 23 locations, with individual spacer lengths ranging from 2 to 451 bp. The longest intergenic spacer (451 bp) was found between the trnD and trnR genes. There were overlaps between nine genes, whose lengths varied from 1 to 54 bp. The atp8 and rrnS genes had the lengthiest overlap, 54 bp, as shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> and <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Nucleotide composition of <italic>Thrips tabaci</italic> mitogenome.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" align="center">Gene</th>
<th valign="bottom" align="center">T</th>
<th valign="bottom" align="center">C</th>
<th valign="bottom" align="center">A</th>
<th valign="bottom" align="center">G</th>
<th valign="bottom" align="center">Total</th>
<th valign="bottom" align="center">GC%</th>
<th valign="bottom" align="center">AT%</th>
<th valign="bottom" align="center">GC Skew</th>
<th valign="bottom" align="center">AT Skew</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">nad5</td>
<td valign="bottom" align="center">53.2</td>
<td valign="bottom" align="center">10.9</td>
<td valign="bottom" align="center">25.2</td>
<td valign="bottom" align="center">10.7</td>
<td valign="bottom" align="center">1695</td>
<td valign="bottom" align="center">21.60</td>
<td valign="bottom" align="center">78.40</td>
<td valign="bottom" align="center">-0.009</td>
<td valign="bottom" align="center">-0.357</td>
</tr>
<tr>
<td valign="bottom" align="left">nad4</td>
<td valign="bottom" align="center">51.8</td>
<td valign="bottom" align="center">10.8</td>
<td valign="bottom" align="center">24.4</td>
<td valign="bottom" align="center">13</td>
<td valign="bottom" align="center">1008</td>
<td valign="bottom" align="center">23.80</td>
<td valign="bottom" align="center">76.20</td>
<td valign="bottom" align="center">0.092</td>
<td valign="bottom" align="center">-0.360</td>
</tr>
<tr>
<td valign="bottom" align="left">nad4l</td>
<td valign="bottom" align="center">56.4</td>
<td valign="bottom" align="center">8.8</td>
<td valign="bottom" align="center">22.7</td>
<td valign="bottom" align="center">12.1</td>
<td valign="bottom" align="center">273</td>
<td valign="bottom" align="center">20.90</td>
<td valign="bottom" align="center">79.10</td>
<td valign="bottom" align="center">0.158</td>
<td valign="bottom" align="center">-0.426</td>
</tr>
<tr>
<td valign="bottom" align="left">nad6</td>
<td valign="bottom" align="center">44.7</td>
<td valign="bottom" align="center">9.9</td>
<td valign="bottom" align="center">37.8</td>
<td valign="bottom" align="center">7.6</td>
<td valign="bottom" align="center">474</td>
<td valign="bottom" align="center">17.50</td>
<td valign="bottom" align="center">82.50</td>
<td valign="bottom" align="center">-0.131</td>
<td valign="bottom" align="center">-0.084</td>
</tr>
<tr>
<td valign="bottom" align="left">cox1</td>
<td valign="bottom" align="center">37.5</td>
<td valign="bottom" align="center">15.9</td>
<td valign="bottom" align="center">32.3</td>
<td valign="bottom" align="center">14.3</td>
<td valign="bottom" align="center">1542</td>
<td valign="bottom" align="center">30.20</td>
<td valign="bottom" align="center">69.80</td>
<td valign="bottom" align="center">-0.053</td>
<td valign="bottom" align="center">-0.074</td>
</tr>
<tr>
<td valign="bottom" align="left">nad3</td>
<td valign="bottom" align="center">38.7</td>
<td valign="bottom" align="center">12.9</td>
<td valign="bottom" align="center">38.7</td>
<td valign="bottom" align="center">9.7</td>
<td valign="bottom" align="center">351</td>
<td valign="bottom" align="center">22.60</td>
<td valign="bottom" align="center">77.40</td>
<td valign="bottom" align="center">-0.142</td>
<td valign="bottom" align="center">0.000</td>
</tr>
<tr>
<td valign="bottom" align="left">cox2</td>
<td valign="bottom" align="center">35.6</td>
<td valign="bottom" align="center">16.2</td>
<td valign="bottom" align="center">36.2</td>
<td valign="bottom" align="center">12</td>
<td valign="bottom" align="center">660</td>
<td valign="bottom" align="center">28.20</td>
<td valign="bottom" align="center">71.80</td>
<td valign="bottom" align="center">-0.149</td>
<td valign="bottom" align="center">0.008</td>
</tr>
<tr>
<td valign="bottom" align="left">cox3</td>
<td valign="bottom" align="center">39.4</td>
<td valign="bottom" align="center">16.4</td>
<td valign="bottom" align="center">32.4</td>
<td valign="bottom" align="center">11.8</td>
<td valign="bottom" align="center">783</td>
<td valign="bottom" align="center">28.20</td>
<td valign="bottom" align="center">71.80</td>
<td valign="bottom" align="center">-0.163</td>
<td valign="bottom" align="center">-0.097</td>
</tr>
<tr>
<td valign="bottom" align="left">atp6</td>
<td valign="bottom" align="center">37.7</td>
<td valign="bottom" align="center">14.8</td>
<td valign="bottom" align="center">36.2</td>
<td valign="bottom" align="center">11.3</td>
<td valign="bottom" align="center">621</td>
<td valign="bottom" align="center">26.10</td>
<td valign="bottom" align="center">73.90</td>
<td valign="bottom" align="center">-0.134</td>
<td valign="bottom" align="center">-0.020</td>
</tr>
<tr>
<td valign="bottom" align="left">atp8</td>
<td valign="bottom" align="center">41.3</td>
<td valign="bottom" align="center">14.3</td>
<td valign="bottom" align="center">32.5</td>
<td valign="bottom" align="center">11.9</td>
<td valign="bottom" align="center">126</td>
<td valign="bottom" align="center">26.20</td>
<td valign="bottom" align="center">73.80</td>
<td valign="bottom" align="center">-0.092</td>
<td valign="bottom" align="center">-0.119</td>
</tr>
<tr>
<td valign="bottom" align="left">nad1</td>
<td valign="bottom" align="center">37.3</td>
<td valign="bottom" align="center">15.4</td>
<td valign="bottom" align="center">35.5</td>
<td valign="bottom" align="center">11.8</td>
<td valign="bottom" align="center">924</td>
<td valign="bottom" align="center">27.20</td>
<td valign="bottom" align="center">72.80</td>
<td valign="bottom" align="center">-0.132</td>
<td valign="bottom" align="center">-0.025</td>
</tr>
<tr>
<td valign="bottom" align="left">nad2</td>
<td valign="bottom" align="center">39.1</td>
<td valign="bottom" align="center">12</td>
<td valign="bottom" align="center">41.8</td>
<td valign="bottom" align="center">7.1</td>
<td valign="bottom" align="center">981</td>
<td valign="bottom" align="center">19.10</td>
<td valign="bottom" align="center">80.90</td>
<td valign="bottom" align="center">-0.257</td>
<td valign="bottom" align="center">0.033</td>
</tr>
<tr>
<td valign="bottom" align="left">cob</td>
<td valign="bottom" align="center">40.6</td>
<td valign="bottom" align="center">14.7</td>
<td valign="bottom" align="center">32.7</td>
<td valign="bottom" align="center">12</td>
<td valign="bottom" align="center">1146</td>
<td valign="bottom" align="center">26.70</td>
<td valign="bottom" align="center">73.30</td>
<td valign="bottom" align="center">-0.101</td>
<td valign="bottom" align="center">-0.108</td>
</tr>
<tr>
<td valign="bottom" align="left">rrnS</td>
<td valign="bottom" align="center">45.8</td>
<td valign="bottom" align="center">12.2</td>
<td valign="bottom" align="center">31</td>
<td valign="bottom" align="center">11</td>
<td valign="bottom" align="center">607</td>
<td valign="bottom" align="center">23.20</td>
<td valign="bottom" align="center">76.80</td>
<td valign="bottom" align="center">-0.052</td>
<td valign="bottom" align="center">-0.193</td>
</tr>
<tr>
<td valign="bottom" align="left">rrnL</td>
<td valign="bottom" align="center">32.5</td>
<td valign="bottom" align="center">9.8</td>
<td valign="bottom" align="center">46.8</td>
<td valign="bottom" align="center">10.9</td>
<td valign="bottom" align="center">1152</td>
<td valign="bottom" align="center">20.70</td>
<td valign="bottom" align="center">79.30</td>
<td valign="bottom" align="center">0.053</td>
<td valign="bottom" align="center">0.180</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Likewise, the circular mitogenome of <italic>T. parvispinus</italic> is 15,285 bp, comprising 13 PCGs, 18 tRNA-coding genes, and 2 rRNA-coding genes, 28 of which are located on the H-strand (+) the remaining 5 on the L-strand (&#x2013;). Gene length in the <italic>T. parvispinus</italic> mitochondrion was 428 bp on average, with minimum and maximum lengths of 61 bp (trnS1) and 1695 bp (nad5), respectively (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>, <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Our result was in accordance with Pakrashi et&#xa0;al. (<xref ref-type="bibr" rid="B29">29</xref>), revealing a mitogenome length of 15,067 bp. The mitogenome of <italic>T. parvispinus</italic> had base compositions of 43.3% A, 30% T, 10% G, and 11.7% C, with an overall AT content of 73.3% and GC content of 21.7%. The AT content across the 13 PCGs and 2 rRNAs ranged from 72.8% to 84%, while the GC content varied from 17% to 27.2%. AT skewness was higher in the PCGs (0.064 to 0.410) compared to the rRNAs (0.161 for rrnS and 0.187 for rrnL) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). We identified 1,039 bp of intergenic nucleotides across 24 locations, with the longest spacer (347 bp) between the trnE and trnP genes. Seven genes had overlaps, with the largest (35 bp) between the COX2 and ND4 genes (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>, <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Summary of <italic>Thrips parvispinus</italic> mitochondrial genome.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center">Gene Name</th>
<th valign="top" rowspan="2" align="center">Full Name and Function</th>
<th valign="top" rowspan="2" align="center">Gene Type</th>
<th valign="top" colspan="2" align="center">Position</th>
<th valign="top" rowspan="2" align="center">Length (bp)</th>
<th valign="top" rowspan="2" align="center">Strand</th>
<th valign="top" rowspan="2" align="center">Intergenic Space</th>
<th valign="top" colspan="2" align="center">Codon</th>
<th valign="top" rowspan="2" align="center">Anti-codon</th>
</tr>
<tr>
<th valign="top" align="center">Start</th>
<th valign="top" align="center">End</th>
<th valign="top" align="center">Start</th>
<th valign="top" align="center">Stop</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">nad5</td>
<td valign="bottom" align="left">NADH dehydrogenase subunit 5</td>
<td valign="bottom" align="center">PCG</td>
<td valign="bottom" align="center">146</td>
<td valign="bottom" align="center">1840</td>
<td valign="bottom" align="center">1695</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="middle" align="center">-5</td>
<td valign="bottom" align="center">att</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">nad4</td>
<td valign="bottom" align="left">NADH dehydrogenase subunit 4</td>
<td valign="bottom" align="center">PCG</td>
<td valign="bottom" align="center">1836</td>
<td valign="bottom" align="center">3157</td>
<td valign="bottom" align="center">1322</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="middle" align="center">47</td>
<td valign="bottom" align="center">ata</td>
<td valign="bottom" align="center">t</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">nad4L</td>
<td valign="bottom" align="left">NADH dehydrogenase subunit 4L</td>
<td valign="bottom" align="center">PCG</td>
<td valign="bottom" align="center">3205</td>
<td valign="bottom" align="center">3486</td>
<td valign="bottom" align="center">282</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="middle" align="center">25</td>
<td valign="bottom" align="center">atg</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">trnC</td>
<td valign="bottom" align="left">Transfer RNA for Cysteine</td>
<td valign="bottom" align="center">tRNA</td>
<td valign="bottom" align="center">3512</td>
<td valign="bottom" align="center">3574</td>
<td valign="bottom" align="center">63</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">18</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">gca</td>
</tr>
<tr>
<td valign="bottom" align="left">nad6</td>
<td valign="bottom" align="left">NADH dehydrogenase subunit 6</td>
<td valign="bottom" align="center">PCG</td>
<td valign="bottom" align="center">3593</td>
<td valign="bottom" align="center">4090</td>
<td valign="bottom" align="center">498</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">100</td>
<td valign="bottom" align="center">att</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">rrnL</td>
<td valign="bottom" align="left">16S ribosomal RNA</td>
<td valign="bottom" align="center">rRNA</td>
<td valign="bottom" align="center">4191</td>
<td valign="bottom" align="center">5338</td>
<td valign="bottom" align="center">1148</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">20</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">cox1</td>
<td valign="bottom" align="left">cytochrome c oxidase subunit I</td>
<td valign="bottom" align="center">PCG</td>
<td valign="bottom" align="center">5359</td>
<td valign="bottom" align="center">6930</td>
<td valign="bottom" align="center">1572</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">71</td>
<td valign="bottom" align="center">att</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">nad3</td>
<td valign="bottom" align="left">NADH dehydrogenase subunit 3</td>
<td valign="bottom" align="center">PCG</td>
<td valign="bottom" align="center">7002</td>
<td valign="bottom" align="center">7343</td>
<td valign="bottom" align="center">342</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">-35</td>
<td valign="bottom" align="center">att</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">cox2</td>
<td valign="bottom" align="left">cytochrome c oxidase subunit II</td>
<td valign="bottom" align="center">PCG</td>
<td valign="bottom" align="center">7309</td>
<td valign="bottom" align="center">8001</td>
<td valign="bottom" align="center">693</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">23</td>
<td valign="bottom" align="center">ata</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">trnG</td>
<td valign="bottom" align="left">Transfer RNA for Glycine</td>
<td valign="bottom" align="center">tRNA</td>
<td valign="bottom" align="center">8025</td>
<td valign="bottom" align="center">8087</td>
<td valign="bottom" align="center">63</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">3</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">tcc</td>
</tr>
<tr>
<td valign="bottom" align="left">trnK</td>
<td valign="bottom" align="left">Transfer RNA for Lysine</td>
<td valign="bottom" align="center">tRNA</td>
<td valign="bottom" align="center">8091</td>
<td valign="bottom" align="center">8154</td>
<td valign="bottom" align="center">64</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">2</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">ttt</td>
</tr>
<tr>
<td valign="bottom" align="left">cox3</td>
<td valign="bottom" align="left">cytochrome c oxidase subunit III</td>
<td valign="bottom" align="center">PCG</td>
<td valign="bottom" align="center">8157</td>
<td valign="bottom" align="center">8945</td>
<td valign="bottom" align="center">789</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">4</td>
<td valign="bottom" align="center">ttg</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">trnN</td>
<td valign="bottom" align="left">Transfer RNA for Asparagine</td>
<td valign="bottom" align="center">tRNA</td>
<td valign="bottom" align="center">8950</td>
<td valign="bottom" align="center">9016</td>
<td valign="bottom" align="center">67</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">-4</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">gtt</td>
</tr>
<tr>
<td valign="bottom" align="left">trnS1</td>
<td valign="bottom" align="left">Transfer RNA for Serine</td>
<td valign="bottom" align="center">tRNA</td>
<td valign="bottom" align="center">9013</td>
<td valign="bottom" align="center">9073</td>
<td valign="bottom" align="center">61</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">tct</td>
</tr>
<tr>
<td valign="bottom" align="left">trnL1</td>
<td valign="bottom" align="left">Transfer RNA for Leucine</td>
<td valign="bottom" align="center">tRNA</td>
<td valign="bottom" align="center">9074</td>
<td valign="bottom" align="center">9138</td>
<td valign="bottom" align="center">65</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">42</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">tag</td>
</tr>
<tr>
<td valign="bottom" align="left">trnE</td>
<td valign="bottom" align="left">Transfer RNA for Glutamic acid</td>
<td valign="bottom" align="center">tRNA</td>
<td valign="bottom" align="center">9181</td>
<td valign="bottom" align="center">9246</td>
<td valign="bottom" align="center">66</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">347</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">ttc</td>
</tr>
<tr>
<td valign="bottom" align="left">trnP</td>
<td valign="bottom" align="left">Transfer RNA for Proline</td>
<td valign="bottom" align="center">tRNA</td>
<td valign="bottom" align="center">9594</td>
<td valign="bottom" align="center">9659</td>
<td valign="bottom" align="center">66</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="middle" align="center">34</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">tgg</td>
</tr>
<tr>
<td valign="bottom" align="left">trnY</td>
<td valign="bottom" align="left">Transfer RNA for Tyrosine</td>
<td valign="bottom" align="center">tRNA</td>
<td valign="bottom" align="center">9694</td>
<td valign="bottom" align="center">9757</td>
<td valign="bottom" align="center">64</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="middle" align="center">57</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">gta</td>
</tr>
<tr>
<td valign="bottom" align="left">nad2</td>
<td valign="bottom" align="left">NADH dehydrogenase subunit 2</td>
<td valign="bottom" align="center">PCG</td>
<td valign="bottom" align="center">9815</td>
<td valign="bottom" align="center">10825</td>
<td valign="bottom" align="center">1011</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">17</td>
<td valign="bottom" align="center">att</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">nad1</td>
<td valign="bottom" align="left">NADH dehydrogenase subunit 1</td>
<td valign="bottom" align="center">PCG</td>
<td valign="bottom" align="center">10843</td>
<td valign="bottom" align="center">11772</td>
<td valign="bottom" align="center">930</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">-4</td>
<td valign="bottom" align="center">att</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">trnM</td>
<td valign="bottom" align="left">Transfer RNA for Methionine</td>
<td valign="bottom" align="center">tRNA</td>
<td valign="bottom" align="center">11769</td>
<td valign="bottom" align="center">11833</td>
<td valign="bottom" align="center">65</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">1</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">cat</td>
</tr>
<tr>
<td valign="bottom" align="left">trnA</td>
<td valign="bottom" align="left">Transfer RNA for</td>
<td valign="bottom" align="center">tRNA</td>
<td valign="bottom" align="center">11835</td>
<td valign="bottom" align="center">11896</td>
<td valign="bottom" align="center">62</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">-1</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">tgc</td>
</tr>
<tr>
<td valign="bottom" align="left">trnF</td>
<td valign="bottom" align="left">Transfer RNA for Phenylalanine</td>
<td valign="bottom" align="center">tRNA</td>
<td valign="bottom" align="center">11896</td>
<td valign="bottom" align="center">11960</td>
<td valign="bottom" align="center">65</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">-2</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">gaa</td>
</tr>
<tr>
<td valign="bottom" align="left">rrnS</td>
<td valign="bottom" align="left">12S ribosomal RNA</td>
<td valign="bottom" align="center">rRNA</td>
<td valign="bottom" align="center">11959</td>
<td valign="bottom" align="center">12711</td>
<td valign="bottom" align="center">753</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">8</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">atp8</td>
<td valign="bottom" align="left">ATP synthase F0 subunit 8</td>
<td valign="bottom" align="center">PCG</td>
<td valign="bottom" align="center">12720</td>
<td valign="bottom" align="center">12879</td>
<td valign="bottom" align="center">160</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">41</td>
<td valign="bottom" align="center">att</td>
<td valign="bottom" align="center">t</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">atp6</td>
<td valign="bottom" align="left">ATP synthase F0 subunit 6</td>
<td valign="bottom" align="center">PCG</td>
<td valign="bottom" align="center">12921</td>
<td valign="bottom" align="center">13535</td>
<td valign="bottom" align="center">615</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">5</td>
<td valign="bottom" align="center">att</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="bottom" align="left">trnQ</td>
<td valign="bottom" align="left">Transfer RNA for Glutamine</td>
<td valign="bottom" align="center">tRNA</td>
<td valign="bottom" align="center">13541</td>
<td valign="bottom" align="center">13609</td>
<td valign="bottom" align="center">69</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">59</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">ttg</td>
</tr>
<tr>
<td valign="bottom" align="left">trnS2</td>
<td valign="bottom" align="left">Transfer RNA for Serine</td>
<td valign="bottom" align="center">tRNA</td>
<td valign="bottom" align="center">13669</td>
<td valign="bottom" align="center">13733</td>
<td valign="bottom" align="center">65</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">3</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">tga</td>
</tr>
<tr>
<td valign="bottom" align="left">trnD</td>
<td valign="bottom" align="left">Transfer RNA for Aspertic acid</td>
<td valign="bottom" align="center">tRNA</td>
<td valign="bottom" align="center">13737</td>
<td valign="bottom" align="center">13801</td>
<td valign="bottom" align="center">65</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">1</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">gtc</td>
</tr>
<tr>
<td valign="bottom" align="left">trnR</td>
<td valign="bottom" align="left">Transfer RNA for Arginine</td>
<td valign="bottom" align="center">tRNA</td>
<td valign="bottom" align="center">13803</td>
<td valign="bottom" align="center">13870</td>
<td valign="bottom" align="center">68</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">0</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">tcg</td>
</tr>
<tr>
<td valign="bottom" align="left">trnT</td>
<td valign="bottom" align="left">Transfer RNA for Threonine</td>
<td valign="bottom" align="center">tRNA</td>
<td valign="bottom" align="center">13871</td>
<td valign="bottom" align="center">13935</td>
<td valign="bottom" align="center">65</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">10</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">tgt</td>
</tr>
<tr>
<td valign="bottom" align="left">trnI</td>
<td valign="bottom" align="left">Transfer RNA for Isoleucine</td>
<td valign="bottom" align="center">tRNA</td>
<td valign="bottom" align="center">13946</td>
<td valign="bottom" align="center">14012</td>
<td valign="bottom" align="center">67</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">-32</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">gat</td>
</tr>
<tr>
<td valign="bottom" align="left">cytB</td>
<td valign="bottom" align="left">cytochrome b</td>
<td valign="bottom" align="center">PCG</td>
<td valign="bottom" align="center">13981</td>
<td valign="bottom" align="center">15126</td>
<td valign="bottom" align="center">1146</td>
<td valign="bottom" align="center">+</td>
<td valign="middle" align="center">101</td>
<td valign="bottom" align="center">ata</td>
<td valign="bottom" align="center">taa</td>
<td valign="bottom" align="center">&#x2013;</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Nucleotide composition of <italic>Thrips parvispinus</italic> mitochondrial genome.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" align="center">Gene</th>
<th valign="bottom" align="center">Length</th>
<th valign="bottom" align="center">T</th>
<th valign="bottom" align="center">C</th>
<th valign="bottom" align="center">A</th>
<th valign="bottom" align="center">G</th>
<th valign="bottom" align="center">GC%</th>
<th valign="bottom" align="center">AT%</th>
<th valign="bottom" align="center">GC Skew</th>
<th valign="bottom" align="center">AT Skew</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">
<bold>nad5</bold>
</td>
<td valign="bottom" align="center">1695</td>
<td valign="bottom" align="center">54.65</td>
<td valign="bottom" align="center">8.40</td>
<td valign="bottom" align="center">26.35</td>
<td valign="bottom" align="center">10.60</td>
<td valign="bottom" align="center">19.00</td>
<td valign="bottom" align="center">81.00</td>
<td valign="bottom" align="center">0.116</td>
<td valign="bottom" align="center">-0.349</td>
</tr>
<tr>
<td valign="bottom" align="left">
<bold>nad4</bold>
</td>
<td valign="bottom" align="center">1322</td>
<td valign="bottom" align="center">55.45</td>
<td valign="bottom" align="center">7.60</td>
<td valign="bottom" align="center">25.25</td>
<td valign="bottom" align="center">11.70</td>
<td valign="bottom" align="center">19.30</td>
<td valign="bottom" align="center">80.70</td>
<td valign="bottom" align="center">0.212</td>
<td valign="bottom" align="center">-0.374</td>
</tr>
<tr>
<td valign="bottom" align="left">
<bold>nad4l</bold>
</td>
<td valign="bottom" align="center">282</td>
<td valign="bottom" align="center">59.20</td>
<td valign="bottom" align="center">6.75</td>
<td valign="bottom" align="center">24.80</td>
<td valign="bottom" align="center">9.25</td>
<td valign="bottom" align="center">16.00</td>
<td valign="bottom" align="center">84.00</td>
<td valign="bottom" align="center">0.156</td>
<td valign="bottom" align="center">-0.410</td>
</tr>
<tr>
<td valign="bottom" align="left">
<bold>nad6</bold>
</td>
<td valign="bottom" align="center">498</td>
<td valign="bottom" align="center">40.40</td>
<td valign="bottom" align="center">9.60</td>
<td valign="bottom" align="center">42.00</td>
<td valign="bottom" align="center">8.00</td>
<td valign="bottom" align="center">17.60</td>
<td valign="bottom" align="center">82.40</td>
<td valign="bottom" align="center">-0.091</td>
<td valign="bottom" align="center">0.019</td>
</tr>
<tr>
<td valign="bottom" align="left">
<bold>cox1</bold>
</td>
<td valign="bottom" align="center">1572</td>
<td valign="bottom" align="center">36.40</td>
<td valign="bottom" align="center">14.20</td>
<td valign="bottom" align="center">36.40</td>
<td valign="bottom" align="center">13.00</td>
<td valign="bottom" align="center">27.20</td>
<td valign="bottom" align="center">72.80</td>
<td valign="bottom" align="center">-0.044</td>
<td valign="bottom" align="center">0.000</td>
</tr>
<tr>
<td valign="bottom" align="left">
<bold>nad3</bold>
</td>
<td valign="bottom" align="center">342</td>
<td valign="bottom" align="center">38.60</td>
<td valign="bottom" align="center">11.70</td>
<td valign="bottom" align="center">40.90</td>
<td valign="bottom" align="center">8.80</td>
<td valign="bottom" align="center">20.50</td>
<td valign="bottom" align="center">79.50</td>
<td valign="bottom" align="center">-0.141</td>
<td valign="bottom" align="center">0.029</td>
</tr>
<tr>
<td valign="bottom" align="left">
<bold>cox2</bold>
</td>
<td valign="bottom" align="center">693</td>
<td valign="bottom" align="center">34.50</td>
<td valign="bottom" align="center">14.30</td>
<td valign="bottom" align="center">39.20</td>
<td valign="bottom" align="center">12.00</td>
<td valign="bottom" align="center">26.30</td>
<td valign="bottom" align="center">73.70</td>
<td valign="bottom" align="center">-0.087</td>
<td valign="bottom" align="center">0.064</td>
</tr>
<tr>
<td valign="bottom" align="left">
<bold>cox3</bold>
</td>
<td valign="bottom" align="center">789</td>
<td valign="bottom" align="center">36.75</td>
<td valign="bottom" align="center">15.50</td>
<td valign="bottom" align="center">36.45</td>
<td valign="bottom" align="center">11.30</td>
<td valign="bottom" align="center">26.80</td>
<td valign="bottom" align="center">73.20</td>
<td valign="bottom" align="center">-0.157</td>
<td valign="bottom" align="center">-0.004</td>
</tr>
<tr>
<td valign="bottom" align="left">
<bold>nad2</bold>
</td>
<td valign="bottom" align="center">1011</td>
<td valign="bottom" align="center">40.50</td>
<td valign="bottom" align="center">11.60</td>
<td valign="bottom" align="center">42.50</td>
<td valign="bottom" align="center">5.40</td>
<td valign="bottom" align="center">17.00</td>
<td valign="bottom" align="center">83.00</td>
<td valign="bottom" align="center">-0.365</td>
<td valign="bottom" align="center">0.024</td>
</tr>
<tr>
<td valign="bottom" align="left">
<bold>nad1</bold>
</td>
<td valign="bottom" align="center">930</td>
<td valign="bottom" align="center">40.75</td>
<td valign="bottom" align="center">12.85</td>
<td valign="bottom" align="center">35.40</td>
<td valign="bottom" align="center">11.00</td>
<td valign="bottom" align="center">23.85</td>
<td valign="bottom" align="center">76.15</td>
<td valign="bottom" align="center">-0.078</td>
<td valign="bottom" align="center">-0.070</td>
</tr>
<tr>
<td valign="bottom" align="left">
<bold>atp8</bold>
</td>
<td valign="bottom" align="center">160</td>
<td valign="bottom" align="center">38.10</td>
<td valign="bottom" align="center">11.30</td>
<td valign="bottom" align="center">42.50</td>
<td valign="bottom" align="center">8.10</td>
<td valign="bottom" align="center">19.40</td>
<td valign="bottom" align="center">80.60</td>
<td valign="bottom" align="center">-0.165</td>
<td valign="bottom" align="center">0.055</td>
</tr>
<tr>
<td valign="bottom" align="left">
<bold>atp6</bold>
</td>
<td valign="bottom" align="center">615</td>
<td valign="bottom" align="center">39.20</td>
<td valign="bottom" align="center">13.30</td>
<td valign="bottom" align="center">37.10</td>
<td valign="bottom" align="center">10.40</td>
<td valign="bottom" align="center">23.70</td>
<td valign="bottom" align="center">76.30</td>
<td valign="bottom" align="center">-0.122</td>
<td valign="bottom" align="center">-0.028</td>
</tr>
<tr>
<td valign="bottom" align="left">
<bold>cob</bold>
</td>
<td valign="bottom" align="center">1146</td>
<td valign="bottom" align="center">40.00</td>
<td valign="bottom" align="center">13.75</td>
<td valign="bottom" align="center">35.10</td>
<td valign="bottom" align="center">11.15</td>
<td valign="bottom" align="center">24.90</td>
<td valign="bottom" align="center">75.10</td>
<td valign="bottom" align="center">-0.104</td>
<td valign="bottom" align="center">-0.065</td>
</tr>
<tr>
<td valign="bottom" align="left">
<bold>rrnL</bold>
</td>
<td valign="bottom" align="center">1148</td>
<td valign="bottom" align="center">32.35</td>
<td valign="bottom" align="center">9.10</td>
<td valign="bottom" align="center">47.25</td>
<td valign="bottom" align="center">11.30</td>
<td valign="bottom" align="center">20.40</td>
<td valign="bottom" align="center">79.60</td>
<td valign="bottom" align="center">0.108</td>
<td valign="bottom" align="center">0.187</td>
</tr>
<tr>
<td valign="bottom" align="left">
<bold>rrnS</bold>
</td>
<td valign="bottom" align="center">753</td>
<td valign="bottom" align="center">33.30</td>
<td valign="bottom" align="center">10.40</td>
<td valign="bottom" align="center">46.10</td>
<td valign="bottom" align="center">10.20</td>
<td valign="bottom" align="center">20.60</td>
<td valign="bottom" align="center">79.40</td>
<td valign="bottom" align="center">-0.010</td>
<td valign="bottom" align="center">0.161</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Protein-coding genes and codon usage bias</title>
<p>The mitochondrial genomes of <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> exhibit distinct characteristics in their PCGs. The total lengths of the 13 PCGs were 10,584 bp for T<italic>. tabaci</italic> and 11,055 bp for <italic>T. parvispinus</italic>. In <italic>T. tabaci</italic>, the coding sequences ranged from 126 bp (atp8) to 1,542 bp (cox1), with genes such as cox1, cox2, cox3, nad3, and nad6 located on the H-strand, while others like nad1, nad2, nad4, nad4L, nad5, atp6, atp8, and cytB were on the L-strand. Conversely, in <italic>T. parvispinus</italic>, the coding sequences ranged from 160 bp (atp8) to 1,695 bp (nad5), with most genes situated on the H-strand, except nad4, nad4L, and nad5, which were on the L-strand.</p>
<p>Three start codons (ATT, ATA, and ATG) were identified in the <italic>T. tabaci</italic> mitogenome. ATT was adopted by genes like nad2, nad3, nad4, nad5, nad6, and atp8, whereas genes like cox1, cox2, cox3, atp6, nad2, and CytB used ATA. However, ATG was used as the start codon by the nad4L gene. In contrast, <italic>T. parvispinus</italic> utilized four start codons, with ATT being the most prevalent across 8 genes (cox1, atp6, atp8, nad1, nad2, nad3, nad5, and nad6), while 3 genes (nad4, cox2, and cytB) used ATA as their start codon. The ATG and TTG start codons are used by nad4L and cox3, respectively. The ATN start codon is the most common starting codon in most thrips and other insect species (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B47">47</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>). For stop codons, <italic>T. tabaci</italic> primarily used TAA, but nad5 and cytB used TAG, and nad4 and atp8 used an incomplete stop codon &#x201c;T&#x201d;. Similarly, <italic>T. parvispinus</italic> mostly used TAA, with nad4 and atp8 also adopting the incomplete &#x201c;T&#x201d;. Incomplete termination codons are common in other thrips species (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B47">47</xref>) and insect mitochondrial genomes and are presumed to be restored through post-transcriptional polyadenylation (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>).</p>
<p>The RSCU and amino acid usage in the PCGs of <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> are summarized in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref> and <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>. In <italic>T. tabaci</italic> mitogenome, leucine, phenylalanine, isoleucine, serine, lysine, tyrosine, and valine were the most frequent amino acids, whereas tryptophan, methionine, and cyanine were the rarest. In general, UUU, followed by UUA, AUU, AUA, and AAA, was the most frequently used codon. However, in the <italic>T. parvispinus</italic> mitogenome, isoleucine, phenylalanine, leucine, asparagine, serine, lysine, and tyrosine were the most frequently used amino acids, whereas tryptophan, cyanine, and methionine were the rarest, with UUU, followed by AUU, UUA, AAU, and AUA being the most frequently used codons (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Relative synonymous codon use (RSCU) of 13 PCG&#x2019;s of the <italic>T. tabaci</italic> and <italic>T. parvispinus</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-05-1536160-g002.tif"/>
</fig>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Amino acid usage in the 13 PCG&#x2019;s of the <italic>T. tabaci</italic> and <italic>T. parvispinus</italic>.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Codon</th>
<th valign="middle" align="left">
<italic>T. tabaci</italic>
</th>
<th valign="middle" align="left">
<italic>T. parvispinus</italic>
</th>
<th valign="middle" align="left">Codon</th>
<th valign="middle" align="left">
<italic>T. tabaci</italic>
</th>
<th valign="middle" align="left">
<italic>T. parvispinus</italic>
</th>
<th valign="middle" align="left">Codon</th>
<th valign="middle" align="left">
<italic>T. tabaci</italic>
</th>
<th valign="middle" align="left">
<italic>T. parvispinus</italic>
</th>
<th valign="middle" align="left">Codon</th>
<th valign="middle" align="left">
<italic>T. tabaci</italic>
</th>
<th valign="middle" align="left">
<italic>T. parvispinus</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">UUU(F)</td>
<td valign="bottom" align="center">30.3</td>
<td valign="bottom" align="center">33</td>
<td valign="bottom" align="left">UCU(S)</td>
<td valign="bottom" align="center">7.5</td>
<td valign="bottom" align="center">6.6</td>
<td valign="bottom" align="left">UAU(Y)</td>
<td valign="bottom" align="center">9</td>
<td valign="bottom" align="center">11.8</td>
<td valign="bottom" align="left">UGU(C)</td>
<td valign="bottom" align="center">3.1</td>
<td valign="bottom" align="center">2.6</td>
</tr>
<tr>
<td valign="bottom" align="left">UUC(F)</td>
<td valign="bottom" align="center">6.3</td>
<td valign="bottom" align="center">5.2</td>
<td valign="bottom" align="left">UCC(S)</td>
<td valign="bottom" align="center">2.2</td>
<td valign="bottom" align="center">1.8</td>
<td valign="bottom" align="left">UAC(Y)</td>
<td valign="bottom" align="center">3.5</td>
<td valign="bottom" align="center">2.5</td>
<td valign="bottom" align="left">UGC(C)</td>
<td valign="bottom" align="center">0.6</td>
<td valign="bottom" align="center">0.6</td>
</tr>
<tr>
<td valign="bottom" align="left">UUA(L)</td>
<td valign="bottom" align="center">18.5</td>
<td valign="bottom" align="center">20.1</td>
<td valign="bottom" align="left">UCA(S)</td>
<td valign="bottom" align="center">6.2</td>
<td valign="bottom" align="center">5.8</td>
<td valign="bottom" align="left">UAA(*)</td>
<td valign="bottom" align="center">7</td>
<td valign="bottom" align="center">5.7</td>
<td valign="bottom" align="left">UGA(*)</td>
<td valign="bottom" align="center">4.6</td>
<td valign="bottom" align="center">4.1</td>
</tr>
<tr>
<td valign="bottom" align="left">UUG(L)</td>
<td valign="bottom" align="center">5.3</td>
<td valign="bottom" align="center">4.4</td>
<td valign="bottom" align="left">UCG(S)</td>
<td valign="bottom" align="center">1.1</td>
<td valign="bottom" align="center">1.1</td>
<td valign="bottom" align="left">UAG(*)</td>
<td valign="bottom" align="center">2.3</td>
<td valign="bottom" align="center">1.9</td>
<td valign="bottom" align="left">UGG(W)</td>
<td valign="bottom" align="center">1.3</td>
<td valign="bottom" align="center">1.2</td>
</tr>
<tr>
<td valign="bottom" align="left">CUU(L)</td>
<td valign="bottom" align="center">6.9</td>
<td valign="bottom" align="center">5.1</td>
<td valign="bottom" align="left">CCU(P)</td>
<td valign="bottom" align="center">3.2</td>
<td valign="bottom" align="center">2.6</td>
<td valign="bottom" align="left">CAU(H)</td>
<td valign="bottom" align="center">2.3</td>
<td valign="bottom" align="center">3.5</td>
<td valign="bottom" align="left">CGU(R)</td>
<td valign="bottom" align="center">0.8</td>
<td valign="bottom" align="center">1</td>
</tr>
<tr>
<td valign="bottom" align="left">CUC(L)</td>
<td valign="bottom" align="center">1.7</td>
<td valign="bottom" align="center">0.5</td>
<td valign="bottom" align="left">CCC(P)</td>
<td valign="bottom" align="center">0.9</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="left">CAC(H)</td>
<td valign="bottom" align="center">1.7</td>
<td valign="bottom" align="center">1.4</td>
<td valign="bottom" align="left">CGC(R)</td>
<td valign="bottom" align="center">0.3</td>
<td valign="bottom" align="center">0.2</td>
</tr>
<tr>
<td valign="bottom" align="left">CUA(L)</td>
<td valign="bottom" align="center">5.7</td>
<td valign="bottom" align="center">3.2</td>
<td valign="bottom" align="left">CCA(P)</td>
<td valign="bottom" align="center">2.8</td>
<td valign="bottom" align="center">3.2</td>
<td valign="bottom" align="left">CAA(Q)</td>
<td valign="bottom" align="center">5.5</td>
<td valign="bottom" align="center">3.8</td>
<td valign="bottom" align="left">CGA(R)</td>
<td valign="bottom" align="center">1.8</td>
<td valign="bottom" align="center">2.2</td>
</tr>
<tr>
<td valign="bottom" align="left">CUG(L)</td>
<td valign="bottom" align="center">1.5</td>
<td valign="bottom" align="center">0.7</td>
<td valign="bottom" align="left">CCG(P)</td>
<td valign="bottom" align="center">0.2</td>
<td valign="bottom" align="center">0.2</td>
<td valign="bottom" align="left">CAG(Q)</td>
<td valign="bottom" align="center">2</td>
<td valign="bottom" align="center">0.6</td>
<td valign="bottom" align="left">CGG(R)</td>
<td valign="bottom" align="center">0.5</td>
<td valign="bottom" align="center">0.2</td>
</tr>
<tr>
<td valign="bottom" align="left">AUU(I)</td>
<td valign="bottom" align="center">17.8</td>
<td valign="bottom" align="center">22.6</td>
<td valign="bottom" align="left">ACU(T)</td>
<td valign="bottom" align="center">3.5</td>
<td valign="bottom" align="center">3.9</td>
<td valign="bottom" align="left">AAU(N)</td>
<td valign="bottom" align="center">8.5</td>
<td valign="bottom" align="center">14.1</td>
<td valign="bottom" align="left">AGU(S)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">2.2</td>
</tr>
<tr>
<td valign="bottom" align="left">AUC(I)</td>
<td valign="bottom" align="center">3.4</td>
<td valign="bottom" align="center">4.8</td>
<td valign="bottom" align="left">ACC(T)</td>
<td valign="bottom" align="center">1.5</td>
<td valign="bottom" align="center">1.5</td>
<td valign="bottom" align="left">AAC(N)</td>
<td valign="bottom" align="center">3.7</td>
<td valign="bottom" align="center">3.6</td>
<td valign="bottom" align="left">AGC(S)</td>
<td valign="bottom" align="center">0.7</td>
<td valign="bottom" align="center">1.4</td>
</tr>
<tr>
<td valign="bottom" align="left">AUA(I)</td>
<td valign="bottom" align="center">14.9</td>
<td valign="bottom" align="center">13.5</td>
<td valign="bottom" align="left">ACA(T)</td>
<td valign="bottom" align="center">4.8</td>
<td valign="bottom" align="center">6.3</td>
<td valign="bottom" align="left">AAA(K)</td>
<td valign="bottom" align="center">10.8</td>
<td valign="bottom" align="center">13.2</td>
<td valign="bottom" align="left">AGA(R)</td>
<td valign="bottom" align="center">4.4</td>
<td valign="bottom" align="center">5.8</td>
</tr>
<tr>
<td valign="bottom" align="left">AUG(M)</td>
<td valign="bottom" align="center">2.5</td>
<td valign="bottom" align="center">2.8</td>
<td valign="bottom" align="left">ACG(T)</td>
<td valign="bottom" align="center">0.9</td>
<td valign="bottom" align="center">0.7</td>
<td valign="bottom" align="left">AAG(K)</td>
<td valign="bottom" align="center">2.6</td>
<td valign="bottom" align="center">2.5</td>
<td valign="bottom" align="left">AGG(R)</td>
<td valign="bottom" align="center">1.3</td>
<td valign="bottom" align="center">1.9</td>
</tr>
<tr>
<td valign="bottom" align="left">GUU(V)</td>
<td valign="bottom" align="center">5.1</td>
<td valign="bottom" align="center">5</td>
<td valign="bottom" align="left">GCU(A)</td>
<td valign="bottom" align="center">2.1</td>
<td valign="bottom" align="center">2.2</td>
<td valign="bottom" align="left">GAU(D)</td>
<td valign="bottom" align="center">2.6</td>
<td valign="bottom" align="center">2.8</td>
<td valign="bottom" align="left">GGU(G)</td>
<td valign="bottom" align="center">2.1</td>
<td valign="bottom" align="center">2.5</td>
</tr>
<tr>
<td valign="bottom" align="left">GUC(V)</td>
<td valign="bottom" align="center">1.4</td>
<td valign="bottom" align="center">0.8</td>
<td valign="bottom" align="left">GCC(A)</td>
<td valign="bottom" align="center">0.4</td>
<td valign="bottom" align="center">0.3</td>
<td valign="bottom" align="left">GAC(D)</td>
<td valign="bottom" align="center">1.5</td>
<td valign="bottom" align="center">1.1</td>
<td valign="bottom" align="left">GGC(G)</td>
<td valign="bottom" align="center">0.1</td>
<td valign="bottom" align="center">0.2</td>
</tr>
<tr>
<td valign="bottom" align="left">GUA(V)</td>
<td valign="bottom" align="center">2.8</td>
<td valign="bottom" align="center">3.9</td>
<td valign="bottom" align="left">GCA(A)</td>
<td valign="bottom" align="center">1.8</td>
<td valign="bottom" align="center">2.6</td>
<td valign="bottom" align="left">GAA(E)</td>
<td valign="bottom" align="center">6</td>
<td valign="bottom" align="center">5.5</td>
<td valign="bottom" align="left">GGA(G)</td>
<td valign="bottom" align="center">5.9</td>
<td valign="bottom" align="center">5.5</td>
</tr>
<tr>
<td valign="bottom" align="left">GUG(V)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">0.4</td>
<td valign="bottom" align="left">GCG(A)</td>
<td valign="bottom" align="center">0.5</td>
<td valign="bottom" align="center">0.2</td>
<td valign="bottom" align="left">GAG(E)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">1.2</td>
<td valign="bottom" align="left">GGG(G)</td>
<td valign="bottom" align="center">1.2</td>
<td valign="bottom" align="center">0.5</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The symbol * represent the &#x201c;Stop codons&#x201d;.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Transfer RNAs and ribosomal RNAs</title>
<p>The circular mitochondrial genome of <italic>T. tabaci</italic> contains 19 tRNA genes ranging in size from 57 to 68 bp. In the mitogenome, 13 of the tRNA genes are located on the H-strand (+), while the remaining six are located on the L-strand (&#x2013;) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref> and <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The 19 tRNA-coding genes of <italic>T. tabaci</italic> mitochondrial genome collectively comprised 1,200 bp, representing 7.85% of the entire mitogenome. In <italic>T. parvispinus</italic> mitogenome, 18 tRNA-coding genes ranging in size from 61 to 69 bp were detected. All of the tRNA-coding genes of <italic>T. parvispinus</italic> were located on the H-strand (+) with the exception of two genes encoding proline (Pro/P) and tyrosine (Tyr/Y) located on the L-strand (-) of mitogenome (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref> and <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). These 18 tRNA-coding genes of <italic>T. parvispinus</italic> comprise a 1,170-bp region that covers 7.65% of the mitogenome. The characteristic clover leaf secondary structures of tRNA genes were identified in the mitogenomes of both thrips species, with the exception of trnS1, which lacks a dihydrouridine arm (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4</bold>
</xref>). Three genes encoding tRNAs for leucine (Leu/L2), tryptophan (Trp/W), and valine (Val/V) were lacking in the mitogenome of <italic>T. tabaci</italic>; however, in addition to these three genes, histidine (His/H) was missing in the <italic>T. parvispinus</italic> mitogenome.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>tRNA structures of the <italic>T. tabaci</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-05-1536160-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>tRNA structures of the <italic>T. parvispinus</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-05-1536160-g004.tif"/>
</fig>
<p>The rRNA genes rrnL and rrnS collectively constitute 11.51% of the total mitogenome. The rrnS gene (607 bp long with 76.80% A+T content) was situated between the atp8 and tRNA-Phe genes. The rrnL gene (1,152 bp long with 79.30% A+T content) was located between the nad6 and cox1 genes of the <italic>T. tabaci</italic> mitogenome. However, in the <italic>T. parvispinus</italic> mitogenome, both the rRNA-coding genes rrnL (1148 bp) and rrnS (753 bp) were found on the H-strand (+) and covered 12.43% (1901 bp) of the whole mitochondrial genome.</p>
</sec>
<sec id="s3_4">
<title>Phylogenetic analysis</title>
<p>Species within the same family, Thripidae, <italic>T. palmi</italic>, <italic>T. imagines</italic>, <italic>T. hawaiiensis</italic>, F<italic>. intonsa</italic>, <italic>F. occidentalis</italic>, <italic>Dendrothrips minowai, Pseudodendrothrips mori, Neohydatothrips samayunkur, Scirtothrips dorsalis, Anaphothrips obscurus</italic>, were grouped together with <italic>T. tabaci</italic> and <italic>T. parvispinus</italic>, The species from other thrips family such as Stenurothripidae, Aeolothripidae and Phlaeothripidae were grouped in another cluster. The <italic>T. parvispinus</italic> was closely related to <italic>T. hawaiiensis</italic> with 98 bootstrap value. However, <italic>T. tabaci</italic> was slightly outgrouped from <italic>T. hawaiiensis.</italic> The <italic>F. intonsa</italic>, and <italic>F. occidentalis</italic> were cluster separately from species for genus <italic>Thrips</italic> (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). The other cluster included <italic>Holarthothrips indicus</italic> of the Stenurothripidae family grouped with 51 Bootstrap value with <italic>Franklinothrips vespiformis</italic> of the Aeolothripidae family, <italic>Gynaikothrips uzeli</italic>, and <italic>Haplothrips aculeatus</italic> of the Phlaeothripidae family. The damsel bug, <italic>Alloeorhynchus bakeri</italic>, was used in the dataset as an outgroup species.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Phylogenetic analysis of 16 Thrips species, with the damsel bug, <italic>Alloeorhynchus bakeri</italic> as outgroup. (<italic>T. tabaci</italic> and <italic>T. parvispinus</italic> marked with red and blue triangles respectively are from current study).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="finsc-05-1536160-g005.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Control, overlapping, and intergenic spacer regions</title>
<p>The <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> mitochondrial genome contains one control in both species, each of which is 451 bp and 347 bp, respectively. In <italic>T. tabaci</italic>, it is located between the trnD and trnR genes; however, in <italic>T. parvispinus</italic>, it is situated between the trnE and trnP genes. The percentages of AT in the control <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> regions were 62.7% and 76.7%, respectively. T-stretch, GAnT motif, ATnC motif, tandem repeats, and stem loops were found in the control region of the <italic>T. tabaci</italic> mitogenome. However, the T-stretch followed by the TATA box, GAnT motif, tandem repeats, and stem loop were found in the <italic>T. parvispinus</italic> mitogenome.</p>
<p>The <italic>T. tabaci</italic> mitochondrial genomes contain 22 intergenic spacer regions of length 1109 bp that vary in length from 2 to 292 bp. There were 13 major intergenic spacers &gt;10 bp in length observed in the circular genome. The longest intergenic spacer regions (292 bp) were located between nad4 and nad4L genes. However 9 overlapping sequences were found in <italic>T. tabaci</italic> mitochondrial genome, ranging in size from 1 to 54 bp. Similar to <italic>T. tabaci</italic>, <italic>T. parvispinus</italic> mitochondrial genome contained 22 intergenic spacer regions of total 692 bp, varying in length from 1 to 101 bp. There were 14 major intergenic spacers &gt;10 bp in length observed in the <italic>T. parvispinus</italic> mitogenome. The cytB genes were followed by the longest intergenic spacer region of 101 bp. The 7 overlapping sequences were present in <italic>T. tabaci</italic> mitochondrial genome, ranging from 1 to 35 bp in size. Amid the nad4 and nad4L genes of the <italic>T. tabaci</italic> mitogenome, there were 292 bp noncoding nucleotides; however, <italic>T. parvispinus</italic> revealed 47 bp.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>The circular mitogenome of <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> from the present study revealed 15,277 bp and 15,285 bp. respectively. A similar trend was observed in most of the thrips species reported earlier. For instance, <italic>T. imagines</italic> (15,407 bp) (<xref ref-type="bibr" rid="B21">21</xref>), <italic>T. palmi</italic> (15,333 bp) (<xref ref-type="bibr" rid="B26">26</xref>), <italic>Frankliniella intonsa</italic> (15,215 bp) (<xref ref-type="bibr" rid="B23">23</xref>), <italic>Frankliniella occidentalis</italic> (14,889 bp) (<xref ref-type="bibr" rid="B22">22</xref>), <italic>Scriptothrips dorsalis</italic> (15,343 bp) (<xref ref-type="bibr" rid="B24">24</xref>), and <italic>Anaphothrips obscurus</italic> (14,890 bp) (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>The gene order among these thrips species showed variations, especially within the subfamily Thripinae. In <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> the several tRNA genes from both <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> have been translocated, showing the variation and arrangement of the gene. Similar variation in the order of the mitogenome genes of the all thrips species was observed. This variation can provide insights into evolutionary processes and mechanisms of genetic diversity. It also highlights the complexity of mitochondrial inheritance and their adaptation to various environments at the genetic level (<xref ref-type="bibr" rid="B47">47</xref>). These variations might affect their physiology, behavior, and ecological interactions, making them an interesting subject for evolutionary studies (<xref ref-type="bibr" rid="B48">48</xref>). Additionally, understanding these evolutionary patterns can help in pest control strategies, as some thrips species are significant agricultural pests.</p>
<p>The RSCU data analysis revealed that Lysine followed by phenylalanine, leucine, isoleucine, tyrosine, and serine, are the most frequently used amino acids, which is common in most of the thrips species (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). The characteristic clover leaf secondary structures of tRNA genes were identified in the mitogenomes of both thrips species, with the exception of trnS1, which lacks a dihydrouridine (DHU) arm, which is common in most insect species. The DHU arm in the trnS1 secondary structure was missing in marigold thrips (<italic>Neohydatothrips samayunkur</italic>) (<xref ref-type="bibr" rid="B49">49</xref>), green semilooper (<italic>Chrysodeixis acutaI</italic>) (<xref ref-type="bibr" rid="B50">50</xref>), and Indian dammer bee, <italic>Tetragonula iridipennis</italic> (<xref ref-type="bibr" rid="B51">51</xref>).</p>
<p>In both the thrips species, some tRNA-coding genes, namely Leucine (Leu/L2), Tryptophan (Trp/W), and Valine (Val/V) were missing in <italic>T. tabaci</italic>, and in addition to these three, Histidin (His/H) is missing in <italic>T. parvispinus</italic> mitogenome. The presence of duplicate copies of tRNA in some thrips species and missing tRNA genes in Gynaikothrips has been reported by Tyagi et&#xa0;al. (<xref ref-type="bibr" rid="B52">52</xref>). However in many insect species mitochondrialt tRNA genes reported as lost or missing, on manual annotation found to have unusual secondary structures and contain many nucleotide mismatches (<xref ref-type="bibr" rid="B53">53</xref>). In some of the insect species, the truncated tRNA was observed, which formed during their evolution (<xref ref-type="bibr" rid="B54">54</xref>). The truncation of tRNA genes poses problems in locating and annotating them due to a high level of nucleotide mismatches (<xref ref-type="bibr" rid="B55">55</xref>). In the absence of a well-paired acceptor stem, the 3&#x2019; end is not clearly defined. The region downstream from the anticodon stem is extremely variable in sequence and length (<xref ref-type="bibr" rid="B54">54</xref>).</p>
<p>The 7 overlapping sequences were present in the <italic>T. tabaci</italic> mitochondrial genome, ranging from 1 to 35 bp in size. Amid the nad4 and nad4L genes of the <italic>T. tabaci</italic> mitogenome, there were 292 bp noncoding nucleotides; however, <italic>T. parvispinus</italic> revealed 47 bp, as in <italic>Aeolothrips xinjiangensis</italic> (148 bp) (<xref ref-type="bibr" rid="B48">48</xref>). Most of the thrips mitogenomes exhibited overlaps of 1-21 bp (mostly around 7 bp) between the nad4 and nad4L. In insect mitogenomes, the nd4 to nd4L regions are transcribed into polycistronic mRNA with either overlaps or no intergenic spacers between them (<xref ref-type="bibr" rid="B56">56</xref>&#x2013;<xref ref-type="bibr" rid="B58">58</xref>). However, such a long intergenic spacer might split this polycistronic mRNA into two monocistronic mRNAs (<xref ref-type="bibr" rid="B48">48</xref>).</p>
<p>The phylogenetic analysis revealed that the genera Thrips and Frankliniella are closely related, as they cluster together. This close relationship is attributed to their shared homology of paired ctenidia on abdominal segments V-VIII (<xref ref-type="bibr" rid="B59">59</xref>). <italic>T. tabaci</italic>, <italic>T. palmi</italic>, <italic>F. accidentalis</italic>, and <italic>F. intonsa</italic> are known vectors of topoviruses (<xref ref-type="bibr" rid="B47">47</xref>). These species cluster together, suggesting they share similar genomic characteristics.</p>
<p>As like the genomic characteristics, the biological similarities are also present in <italic>T. tabaci</italic> and <italic>T. parvispinus</italic>. Field emission scanning electron microscopy (FESEM) analysis of both thrips species identified similar types of sensilla, including sensilla basiconica (SBI, SBII, SBIII), sensilla chaetica (SChI, SChII), sensilla trichodea (ST), sensilla campaniformia (SCa), and sensilla cavity (SCav); however, variations in the length of these sensilla were observed between the two species. Also, some morphological characters have the variation in both the thrips species, such as antennae (seven-segmented with forked sensorium on third, and fourth segments), ctenidia (paired ctenidia were present in 5th&#x2013;8th abdominal segments laterally), and pronotum (two pairs of posteroangular setae) (<xref ref-type="bibr" rid="B60">60</xref>).</p>
<p>Mitochondrial genome data have been widely used for phylogenetic, evolutionary studies, and population genetics in insects (<xref ref-type="bibr" rid="B61">61</xref>). Among eukaryotes, Thysanoptera, along with other minor paraenopteran insect orders, is regarded as a model for rapid mitochondrial genome evolution (<xref ref-type="bibr" rid="B24">24</xref>). In the Thysanoptera order, thrips display exceptional interspecific variation in mitogenomic structure, making them an ideal model for studying mitochondrial evolution (<xref ref-type="bibr" rid="B48">48</xref>). In the current study, the several tRNA genes from both <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> have been translocated; however, the protein-coding genes and most of the tRNA genes have a similar arrangement, representing that these two species have a low rate of the rearrangement among them, which may be originating from the most recent common ancestors of these thrips species. Similar results were reported by Yan et&#xa0;al. (<xref ref-type="bibr" rid="B23">23</xref>) in flower thrips, <italic>Frankliniella intonsa</italic>, and other thrips species. Mitochondrial DNA plays a crucial regulatory role in insect adaptation to environmental changes, including insecticide resistance (<xref ref-type="bibr" rid="B62">62</xref>). Many insecticides target mitochondrial functions, such as oxidative phosphorylation. Mutations in mtDNA can lead to changes in these functions, resulting in resistance to the insecticides (<xref ref-type="bibr" rid="B63">63</xref>). Mutations in the mitochondrial-encoded Cytb gene have been implicated in resistance to the novel acaricide Bifenazate in <italic>Tetranychus urticae</italic> and <italic>Panonychus citri</italic> (<xref ref-type="bibr" rid="B64">64</xref>). Furthermore, a newly identified mutation in the Cytb gene of <italic>T. urticae</italic> has been associated with resistance to the miticide Acequinocyl (<xref ref-type="bibr" rid="B65">65</xref>). However, in the current study, no such mutation was detected in the mitochondrial genes. Also, no report was found in any thrips species to date detecting insecticidal resistance in the thrips species due to mutation in the mitochondrial gene.</p>
<p>The phylogenetic analysis includes species from different thrips families, such as Thripidae, Aeolothripidae, Phlaeothripidae, and Stenurothripidae, showing the phylogenetic diversity among these groups. The diversity within these groups may contribute to the complexity and lower bootstrap values in some parts of the tree. The thrips species clustered together such as <italic>T. hawaiiensis</italic> and <italic>T. parvispinus</italic>, with bootstrap values 98, have closely related species <italic>T. tabaci</italic> with lowest bootstrap value 46, suggesting lower confidence in their relationships. The thrips species in phylogenetic study other than the Thripidae family, <italic>Holarthrothrips indicus</italic> of Stenurothripidae family, and <italic>Franklinothrips vespiformis</italic> of Aeolothripidae, <italic>Gynaikothrips uzeli</italic> and <italic>Haplothrips aculeatus</italic> of the family Phlaeothripidae shown the lower boot strap values, 51. The lower bootstrap values of these species could be because of the low rate of genetic flow between these species (<xref ref-type="bibr" rid="B66">66</xref>).</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>Complete mitochondrial genome sequences of <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> provide critical insights into their genetic makeup and evolutionary relationships. The mitochondrial genomes of <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> were found to be 15,277 bp and 15,285 bp in size, respectively, with similar gene organization, including 13 protein-coding genes, 2 rRNA genes, and 19 tRNA genes in <italic>T. tabaci</italic>, and 18 tRNA genes in <italic>T. parvispinus</italic>. The high AT content observed in both species reflects their typical insect mitochondrial genome characteristics, which are essential for understanding their genetic diversity and evolutionary adaptations. Phylogenetic analysis revealed the evolutionary positions of <italic>T. tabaci</italic> and <italic>T. parvispinus</italic> within the Thysanoptera order, highlighting the genetic makeup and taxonomy of these species with other thrips species. The findings emphasize the significance of understanding the genetic basis of onion thrips, which can aid in developing targeted pest management strategies to mitigate their impact on onion production. The detailed mitochondrial genome sequences and phylogenetic analyses presented in this study provide a valuable resource for further research on thrips biology, genetics, and pest management.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The manuscript presents research on animals that do not require ethical approval for their study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>PS: Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. DS: Data curation, Formal analysis, Methodology, Resources, Software, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. VK: Data curation, Formal analysis, Methodology, Resources, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. PD: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. VM: Funding acquisition, Resources, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The author(s) declare that funding for this study, was received from the in-house project of ICAR-Directorate of Onion and Garlic Research, Pune, India with Project code: 052/S/IPP/DOGR/21-26/CPT/003.</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
<title>References</title>
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<citation citation-type="journal">
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