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Updated: Jan 31, 2026

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
Published on: May 9, 2017
De novo transcriptome assembly and its annotation for the black ant Formica fusca at the larval stage
Claire Morandin1, Unni Pulliainen1,2, Nick Bos1
1Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.
Abstract:
Communication and nutrition are major drivers of fitness in ants. While communication is paramount to colony cohesion, nutrition is decisive in regulating reproductive division of labor among colony members. However, neither of these has been studied from a molecular perspective in developing individuals. Here, we report the availability of the first transcriptome resources for larvae of the ant Formica fusca, a species with excellent discrimination abilities and thus the potential to become a model system for studying molecular mechanisms of communication. We generated a comprehensive, high-coverage RNA-seq data set using Illumina RNA-seq technology by sequencing 24 individual 1st - 2nd instar larvae collected from four experimental groups (6 samples per treatment, 49 million mean reads per sample, coverage between 194-253×). A total of 24,765 unigenes were generated using a combination of genome-guided and de novo transcriptome assembly. A comprehensive assembly pipeline and annotation lists are provided. This dataset adds valuable transcriptomic resources for further study of developmental gene expression, transcriptional regulation and functional gene activity in ant larvae.
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