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. 2020 Nov 23;21:819. doi: 10.1186/s12864-020-07196-4

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 4 — Potential effector proteins annotated with six public databases. In total, 808 proteins from the head and 267 proteins from the salivary gland were predicted to be potential effector proteins. These set of proteins from both the samples were simultaneously annotated with six different databases; NR (RefSeq non-reductant NCBI) and UniProt for taxonomic distribution and Pfam, KO (KEGG Orthology), GO (Gene Ontology) and COG (Clusters of Orthologous Groups) for functional annotation. Values at the top of each bar show the number of proteins annotated to corresponding database. Annotation of head effector proteins (a) and SG effector proteins (b)