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Database Commons

a catalog of worldwide biological databases

Database Profile

D. citri genome

General information

URL: https://citrusgreening.org
Full name: Diaphorina citri Genome
Description: We present a systems-based pipeline approach for delivering commercial, grove-deployable solutions using a novel therapeutic delivery strategy and citrus transgenics. A data integration and analysis platform combining existing complex -omics/biological data with molecular/cellular research will steer hypothesis-driven testing of inhibitors of multiple molecular pathways to provide solutions that can be optimized by combinatorial delivery to citrus. Research areas will include: >Molecular interaction inhibitor discovery (gut membrane binding peptides, RNA aptamers and non-toxic chemical library screening) to block psyllid acquisition/ transmission of HLB and/or growth in the plant. >dsRNA delivery to induce psyllid RNAi responses that block HLB transmission or kill the psyllid (or both). >Optimization of a novel therapeutic delivery system that has negligible environmental impact, is economical in comparison to current control strategies and is highly adaptable for different solution strategies.
Year founded: 2017
Last update: 2018
Version: v3.0
Accessibility:
Accessible
Country/Region: United States

Contact information

University/Institution: Kansas State University
Address: Boyce Thompson Institute, Ithaca, NY 14853
City:
Province/State:
Country/Region: United States
Contact name (PI/Team): Surya Saha
Contact email (PI/Helpdesk): ss2489@cornell.edu

Publications

29220441
Improved annotation of the insect vector of citrus greening disease: biocuration by a diverse genomics community. [PMID: 29220441]
Saha S, Hosmani PS, Villalobos-Ayala K, Miller S, Shippy T, Flores M, Rosendale A, Cordola C, Bell T, Mann H, DeAvila G, DeAvila D, Moore Z, Buller K, Ciolkevich K, Nandyal S, Mahoney R, Van Voorhis J, Dunlevy M, Farrow D, Hunter D, Morgan T, Shore K, Guzman V, Izsak A, Dixon DE, Cridge A, Cano L, Cao X, Jiang H, Leng N, Johnson S, Cantarel BL, Richards S, English A, Shatters RG, Childers C, Chen MJ, Hunter W, Cilia M, Mueller LA, Munoz-Torres M, Nelson D, Poelchau MF, Benoit JB, Wiersma-Koch H, D'Elia T, Brown SJ.

The Asian citrus psyllid (Diaphorina citri Kuwayama) is the insect vector of the bacterium Candidatus Liberibacter asiaticus (CLas), the pathogen associated with citrus Huanglongbing (HLB, citrus greening). HLB threatens citrus production worldwide. Suppression or reduction of the insect vector using chemical insecticides has been the primary method to inhibit the spread of citrus greening disease. Accurate structural and functional annotation of the Asian citrus psyllid genome, as well as a clear understanding of the interactions between the insect and CLas, are required for development of new molecular-based HLB control methods. A draft assembly of the D. citri genome has been generated and annotated with automated pipelines. However, knowledge transfer from well-curated reference genomes such as that of Drosophila melanogaster to newly sequenced ones is challenging due to the complexity and diversity of insect genomes. To identify and improve gene models as potential targets for pest control, we manually curated several gene families with a focus on genes that have key functional roles in D. citri biology and CLas interactions. This community effort produced 530 manually curated gene models across developmental, physiological, RNAi regulatory and immunity-related pathways. As previously shown in the pea aphid, RNAi machinery genes putatively involved in the microRNA pathway have been specifically duplicated. A comprehensive transcriptome enabled us to identify a number of gene families that are either missing or misassembled in the draft genome. In order to develop biocuration as a training experience, we included undergraduate and graduate students from multiple institutions, as well as experienced annotators from the insect genomics research community. The resulting gene set (OGS v1.0) combines both automatically predicted and manually curated gene models.

Database (Oxford). 2017:2017() | 46 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
2306/6895 (66.57%)
Gene genome and annotation:
718/2021 (64.523%)
Expression:
467/1347 (65.405%)
Pathway:
145/451 (68.071%)
2306
Total Rank
42
Citations
5.25
z-index

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Record metadata

Created on: 2018-01-28
Curated by:
[2018-11-29]
Fatima Batool [2018-04-12]