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Workflows for rapid functional annotation of diverse arthropod genomes

View ORCID ProfileSurya Saha, View ORCID ProfileAmanda M Cooksey, View ORCID ProfileAnna K Childers, View ORCID ProfileMonica F Poelchau, View ORCID ProfileFiona M McCarthy
doi: https://doi.org/10.1101/2021.06.12.448177
Surya Saha
1Boyce Thompson Institute, 533 Tower Rd., Ithaca, NY 14853 USA
2School of Animal and Comparative Biomedical Sciences, 1117 E. Lowell Street, Tucson AZ 85721 USA
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Amanda M Cooksey
2School of Animal and Comparative Biomedical Sciences, 1117 E. Lowell Street, Tucson AZ 85721 USA
3CyVerse, BioScience Research Laboratories, 1230 N. Cherry Ave., Tucson, AZ 85721 USA
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Anna K Childers
4USDA, Agricultural Research Service, Beltsville Agricultural Research Center, Bee Research Laboratory, 10300 Baltimore Avenue, Beltsville, MD 20705, USA
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Monica F Poelchau
5USDA, Agricultural Research Service, National Agricultural Library, 10301 Baltimore Avenue, Beltsville, MD 20705, USA
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Fiona M McCarthy
2School of Animal and Comparative Biomedical Sciences, 1117 E. Lowell Street, Tucson AZ 85721 USA
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  • For correspondence: [email protected]
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Abstract

Genome sequencing of a diverse array of arthropod genomes is already underway and these genomes will be used to study human health, agriculture, biodiversity and ecology. These new genomes are intended to serve as community resources and provide the foundational information that is required to apply ‘omics technologies to a more diverse set of species. However, biologists require genome annotation to use these genomes and derive a better understanding of complex biological systems. Genome annotation incorporates two related but distinct processes: demarcating genes and other elements present in genome sequences (structural annotation); and associating function with genetic elements (functional annotation). While there are well established and freely available workflows for structural annotation of gene identification in newly assembled genomes, workflows for providing the functional annotation required to support functional genomics studies are less well understood. Genome-scale functional annotation is required for functional modeling (enrichment, networks, etc.) and a first-pass genome-wide functional annotation effort can rapidly identify under-represented gene sets for focused community annotation efforts. We present an open source, open access and containerized pipeline for genome-scale functional annotation of insect proteomes and apply it to a diverse range of arthropod species. We show that the performance of the predictions is consistent across a set of arthropod genomes with varying assembly and annotation quality.Complete instructions for running each component of the functional annotation pipeline on the command line, a high performance computing cluster and the CyVerse Discovery Environment can be found at the readthedocs site (https://agbase-docs.readthedocs.io/en/latest/agbase/workflow.html).

Simple summary Genomic technologies are accumulating information about genes at a faster rate than ever before, and sequencing initiatives like the Earth Biogenome Project, i5k and Ag100Pest are expected to increase this rate of acquisition. However, if genomic sequencing is to be used for improvement of human health, agriculture and our understanding of biological systems, it is necessary to identify genes and understand how they contribute to biological outcomes. While there are several well-established workflows for assembling genomic sequences and identifying genes, understanding gene function is essential to create actionable knowledge. Moreover this functional annotation process must be easily accessible and provide information at a genomic scale to keep up with new sequence data. We report a well defined workflow for rapid functional annotation of whole proteomes to produce Gene Ontology and pathways information. We test this workflow on a diverse set of arthropod genomes and compare it to common arthropod reference genomes. The workflow we described is freely and publicly available via a web interface on CyVerse or as biocontainers that can be deployed scalably on local computing systems.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://agbase-docs.readthedocs.io/en/latest/agbase/workflow.html

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license.
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Posted June 13, 2021.
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Workflows for rapid functional annotation of diverse arthropod genomes
Surya Saha, Amanda M Cooksey, Anna K Childers, Monica F Poelchau, Fiona M McCarthy
bioRxiv 2021.06.12.448177; doi: https://doi.org/10.1101/2021.06.12.448177
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Workflows for rapid functional annotation of diverse arthropod genomes
Surya Saha, Amanda M Cooksey, Anna K Childers, Monica F Poelchau, Fiona M McCarthy
bioRxiv 2021.06.12.448177; doi: https://doi.org/10.1101/2021.06.12.448177

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