Jun Deng

Dr. Jun Deng


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 January 2023 in BMC Genomics
Verified
Journal Article
Open access
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CLCongcong Lu
Congcong Lu
XHXiaolei Huang
Xiaolei Huang
JDJun Deng
Jun Deng
Background: Soft scales (Hemiptera: Coccidae), including important agricultural and forestry pests, are difficult to identify directly by morphological characters. Mitochondrial genomes (mitogenomes) have been widely used in species identification and phylogenetic research. However, only three complete mitogenomes, and very few mitochondrial genes of scale insects (Hemiptera: Coccoidea) can be searched in GenBank. Mitogenome comparisons between scale insects or between scale insects and other hemipteran species have not yet been reported. Results: In this study, detailed annotation of three new mitogenomes and comparative analysis of scale insects were completed, as well as comparative analysis of the gene composition, gene arrangement, codon usage and evolutionary forces between scale insects and 488 other hemipteran species for the first time. We found that high A + T content, gene rearrangement and truncated tRNAs are common phenomena in soft scales. The average A + T content and codon usage bias of scale insects are higher and stronger than those of other hemipteran insects, respectively. The atp8 gene of Hemiptera and nine other protein-coding genes of scale insects are under positive selection with higher evolutionary rates. Conclusions: The study revealed the particularity of the scale insect mitogenomes, which will provide a good reference for future research on insect phylogenetic relationships, insect pest control, biogeography and identification.

1 September 2020 in International Journal of Biological Macromolecules
Verified
Journal Article
Closed access
CLCongcong Lu
Congcong Lu
XHXiaolei Huang
Xiaolei Huang
JDJun Deng
Jun Deng

11 January 2021 in Insects
Verified
Journal Article
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HZHui Zhang
Hui Zhang
QLQian Liu
Qian Liu
CLCongcong Lu
Congcong Lu
JDJun Deng
Jun Deng
XHXiaolei Huang
Xiaolei Huang
Complete mitochondrial genomes are valuable resources for different research fields such as genomics, molecular evolution and phylogenetics. The subfamily Lachninae represents one of the most ancient evolutionary lineages of aphids. To date, however, no complete Lachninae mitogenome is available in public databases. Here we report the Stomaphis sinisalicis mitogenome, representing the first complete mitogenome of Lachninae. The S. sinisalicis mitogenome is consist of 13 protein-coding genes (PCGs), two rRNA genes (rRNAs), 22 tRNA genes (tRNAs), a control region and a large tandem repeat region. Strikingly, the mitogenome exhibits a novel, highly rearranged gene order between trnE and nad1 compared with that of other aphids. The presence of repeat region in the basal Lachninae may further indicate it is probably an ancestral feature of aphid mitogenomes. Collectively, this study provides new insights on mitogenome evolution and valuable data for future comparative studies across different insect lineages.

6 July 2019 in Diversity
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Journal Article
Open access
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JDJun Deng
Jun Deng
YGYanqing Guo
Yanqing Guo
ZCZhentao Cheng
Zhentao Cheng
CLCongcong Lu
Congcong Lu
XHXiaolei Huang
Xiaolei Huang
Although about two million species have been named, our knowledge about the biodiversity of many taxonomic groups remains inadequate and incomplete. There has been increased taxonomic effort for the discovery of more species and their geographical distribution information. During this process, species collected only from a single specimen/locality often appear. However, there are very few empirical data available to understand the current situation of single specimen/locality species in insect taxonomy. In this paper, we collected 1261 articles containing 4811 insect species from ZooKeys between 2009 and 2017, and we extracted data, including the publication date, number of specimens/locality, and DNA usage. Our analyses demonstrated that 21.53% and 21.74% of new species were described from only one specimen and one locality, respectively, and approximately half of all new species were published based on fewer than five specimens. Meanwhile, the rate of single-specimen species in papers with or without DNA data was 15.06% and 23.43%, respectively, which indicates that incorporating DNA data in species descriptions might effectively decrease the occurrence of single-specimen species. We suggest that taxonomists should adopt more beneficial practices, such as increasing specimen diversity, incorporating DNA data, and improving international collaboration, in the description of new species.

23 December 2013 in BMC Ecology and Evolution
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Journal Article
Open access
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JDJun Deng
Jun Deng
FYFang Yu
Fang Yu
HLHai-Bin Li
Hai-Bin Li
MGMarco Gebiola
Marco Gebiola
YDYves Desdevises
Yves Desdevises
YZYanzhou Zhang
Yanzhou Zhang
Numerous studies have investigated cospeciation between parasites and their hosts, but there have been few studies concerning parasitoids and insect hosts. The high diversity and host specialization observed in Anicetus species suggest that speciation and adaptive radiation might take place with species diversification in scale insect hosts. Here we examined the evolutionary history of the association between Anicetus species and their scale insect hosts via distance-based and tree-based methods.

26 March 2016 in Annals of the Entomological Society of America
Verified
Journal Article
Closed access
XWXubo Wang
Xubo Wang
JZJiang-Tao Zhang
Jiang-Tao Zhang
JDJun Deng
Jun Deng
QZQing-Song Zhou
Qing-Song Zhou
YZYan-Zhou Zhang
Yan-Zhou Zhang
SWSanan Wu
Sanan Wu
Mealybugs (Hemiptera: Pseudococcidae) are an insect group that feeds on plant sap; many are major pests of ornamental plants and crops worldwide. The difficulty of morphological identification of mealybugs points to a need for a rapid and effective identification method, like DNA barcoding, to assist morphological taxonomy. Here, we employed diverse methods (best close match [BCM], Neighbor-Joining [NJ] tree, Barcoding with LOGic formulas [BLOG], Poisson Tree Process [PTP] Species Delimitation Method) to test the efficiency of two molecular markers (mitochondrial cytochrome c oxidase I [COI] and large ribosomal subunit gene [28S]) that could be used for species identification of 54 mealybug species that commonly occur in China. Two hundred six COI barcodes (47 species) and 242 28S sequences (53 species) were recovered from 246 individuals. In both the COI and 28S data sets, species except for Planococcus citri and P. minor were unambiguously identified by all the methods. The PTP analysis based on COI sequences generated more putative species in Antonina tesquorum, Atrococcus paludinus, and Formicococcus sp. than morphological identification. Among these three cases, the sequences of At. paludinus showed 3.55% variation at the 28S locus, possibly reflecting cryptic diversity in this taxon. Our study corroborates the utility of the COI and 28S genes in the rapid identification of mealybugs, and the barcode library we provide will create an effective identification system for mealybug pest management in China.