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        A new species of gall midge (Diptera: Cecidomyiidae) damaging flower buds of goji berry Lycium barbarum (Solanaceae)

        Ke-Long Jiao,Xiao-Yi Zhou,Hai-Li Qiao,Hao Wang,Jun Chen,Bai-Ming Liu,Wen-Jun Bu,Peter Kolesik 한국응용곤충학회 2020 Journal of Asia-Pacific Entomology Vol.23 No.4

        Larvae of a previously undescribed gall midge species have been feeding within malformed flower buds of goji berry Lycium barbarum L. (Solanaceae) in China, preventing fruit development and causing damage to the fruit industry. The new species is named Gephyraulus lycantha Jiao & Kolesik, its morphology is described, the COI mitochondrial gene segment is sequenced, and the biology is outlined. In order to taxonomically accommodate the new gall midge, the scope of the genus Gephyraulus is broadened and now encompasses also species that lack dorso-apical sensoria on the female cercus.

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        Combined analysis and miRNA expression profiles of the flowering related genes in common wild rice (oryza rufipogon Griff.)

        Jiao Wang,Yan Long,Jingwen Zhang,Mande Xue,Gege Huang,Ke Huang,Qianhua Yuan,Xinwu Pei 한국유전학회 2018 Genes & Genomics Vol.40 No.8

        Common wild rice (Oryza rufipogon Griff.) is the most closely related ancestral species to Asian cultivated rice (Oryza sativa L.). It contains various valuable traits with regard to tolerance to cold, drought and salinity, flowering diversity and many quantitative trait loci with agronomic important traits. Flowering is one of the most important agronomic traits. However, flowering-related transcriptome and how to be regulated by miRNAs have not been estimated in O.rufipogon. To identify how the genes and miRNAs regulating flowering in O.rufipogon. Three O.rufipogon RNA libraries, two vegetative stages (CWRT-V1 and CWRT-V2) and one flowering stage (CWRT-F2) were constructed using leaves tissue and sequenced using Illumina deep sequencing. 27,405, 27,333, 28,979 unique genes were obtained after mapping to the reference genome from CWRT-V1, CWRT-V2 and CWRT-F2, respectively. Then differentially expressed genes (DEGs) were screened and got 1419 unique genes are likely to involve in flower development. Detailed information showed that MADS box and floral meristem identity genes, such as MADS 1, MADS14, Hd1 are involved in common wild rice. Then, combined analysis of miRNA and mRNA expression profiles was performed. Twenty three known miRNA-mRNA pairs and five new candidates were presented an anti-correlationship. Interestingly, 12 miRNAs were negatively correlated with 20 mRNAs encoding flowering-related proteins, indicating that miRNAs regulated target genes to promote flowering in CWRT-F2 group. The results provided here genomic resources for flowering related genes and how these flowering genes were regulated by miRNAs in common wild rice.

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        A Novel Algorithm of Joint Probability Data Association Based on Loss Function

        ( Hao Jiao ),( Yunxue Liu ),( Hui Yu ),( Ke Li ),( Feiyuan Long ),( Yingjie Cui ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.7

        In this paper, a joint probabilistic data association algorithm based on loss function (LJPDA) is proposed so that the computation load and accuracy of the multi-target tracking algorithm can be guaranteed simultaneously. Firstly, data association is divided in to three cases based on the relationship among validation gates and the number of measurements in the overlapping area for validation gates. Also the contribution coefficient is employed for evaluating the contribution of a measurement to a target, and the loss function, which reflects the cost of the new proposed data association algorithm, is defined. Moreover, the equation set of optimal contribution coefficient is given by minimizing the loss function, and the optimal contribution coefficient can be attained by using the Newton-Raphson method. In this way, the weighted value of each target can be achieved, and the data association among measurements and tracks can be realized. Finally, we compare performances of LJPDA proposed and joint probabilistic data association (JPDA) algorithm via numerical simulations, and much attention is paid on real-time performance and estimation error. Theoretical analysis and experimental results reveal that the LJPDA algorithm proposed exhibits small estimation error and low computation complexity.

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        Morphological, genetic and symptomatic identification of an invasive jujube pest in Korea, Dasineura jujubifolia Jiao & Bu (Diptera: Cecidomyiidae)

        Keum Eunsun,Jiao Ke-Long,Cho Kyoung-Yeon,이용봉,이흥식,Jung Chuleui,최득수 한국응용곤충학회 2022 Journal of Asia-Pacific Entomology Vol.25 No.3

        Correct identification of invasive species is an important step for further management of this species. New type of leafcurling gall midge feeding on jujube, Ziziphus jujube Miller (Rhamnaceae), was discovered in Korea in 2011. At that time, this species was not identified as specific level, so it was recorded as Dasineura sp. Since then, the jujube gall midge has become a serious alien insect pest in Korea. In this study, this jujube gall midge was surveyed by collecting damaged leaf samples from different major jujube-producing regions in Korea. Morphological, genetic and symptomatic identification of this invasive jujube pest identified as Dasineura juju bifolia Jiao & Bu. Here we provided its taxonomic status, geographical distribution, morphological characteristics of all stages and infestation symptoms. In addition to classical morphological characters, mitochondrial COI barcoding sequences were generated for several specimens. The possible pathway of invasion and subsequent socioeconomic consequences were discussed.

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