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Please use this identifier to cite or link to this item: http://223.31.159.10:8080/jspui/handle/123456789/1125
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dc.contributor.authorPrajapati, Vinod Kumar-
dc.contributor.authorVarma, Mahendra-
dc.contributor.authorVadassery, Jyothilakshmi-
dc.date.accessioned2020-11-25T09:03:44Z-
dc.date.available2020-11-25T09:03:44Z-
dc.date.issued2020-
dc.identifier.citationBMC Genomics, 21: 819en_US
dc.identifier.issn1471-2164-
dc.identifier.otherhttps://doi.org/10.1186/s12864-020-07196-4-
dc.identifier.urihttps://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-020-07196-4-
dc.identifier.urihttp://223.31.159.10:8080/jspui/handle/123456789/1125-
dc.descriptionAccepted date: 27 October 2020en_US
dc.description.abstractBackground: The common cutworm, Spodoptera litura Fabricius is a leaf and fruit feeding generalist insect of the order Lepidoptera and a destructive agriculture pest. The broad host range of the herbivore is due to its ability to downregulate plant defense across different plants. The identity of Spodoptera litura released effectors that downregulate plant defense are largely unknown. The current study aims to identify genes encoding effector proteins from salivary glands of S. litura (Fab.). Results: Head and salivary glands of Spodoptera litura were used for de-novo transcriptome analysis and effector prediction. Eight hundred ninety-nine proteins from the head and 330 from salivary gland were identified as secretory proteins. Eight hundred eight proteins from the head and 267 from salivary gland proteins were predicted to be potential effector proteins. Conclusions: This study is the first report on identification of potential effectors from Spodoptera litura salivary glands.en_US
dc.description.sponsorshipWe acknowledge National Bureau of Agricultural Insect Resources, Bangalore for S. litura eggs (National Accession No. is: NBAII-MP-NOC-02), Pradeep Kumar Maurya (NIPGR) for rearing Spodoptera, NIPGR central instrumentation facility, DBT-eLibrary Consortium (DeLCON) for providing access to e-resources. We acknowledge Genotypic Technology, Bangalore for sequencing. This work was funded by SERB-ECR grant (SERB-ECR/2016/000828) of Department of Science and Technology (DST), India to JV.en_US
dc.language.isoen_USen_US
dc.publisherBioMed Central Ltden_US
dc.subjectSpodoptera lituraen_US
dc.subjectEffector proteinsen_US
dc.subjectde novo transcriptomicsen_US
dc.subjectHerbivoryen_US
dc.subjectPlant defenseen_US
dc.titleIn silico identification of effector proteins from generalist herbivore Spodoptera lituraen_US
dc.typeArticleen_US
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