Metagenome skimming of insect specimen pools: potential for comparative genomics

Metagenomic analyses are challenging in metazoans, but high-copy number and repeat regions can be assembled from lowcoverage sequencing by “genome skimming,” which is applied here as a new way of characterizing metagenomes obtained in an ecological or taxonomic context. Illumina shotgun sequencing on two pools of Coleoptera (beetles) of approximately 200 species each were assembled into tens of thousands of scaffolds. Repeated low-coverage sequencing recovered similar scaffold sets consistently, although approximately 70% of scaffolds could not be identified against existing genome databases. Identifiable scaffolds included mitochondrial DNA, conserved sequences with hits to expressed sequence tag and protein databases, and knownrepeatelementsof high and low complexity, includingnumerous copies ofrRNAandhistone genes.Assemblies of histones captured a diversity of gene order and primary sequence in Coleoptera. Scaffolds with similarity to multiple sites in available coleopteran genome sequences for Dendroctonus and Tribolium revealed high specificity of scaffolds to either of these genomes, in particular for high-copy number repeats. Numerous “clusters” of scaffolds mapped to the same genomic site revealed intraand/or intergenomic variation within a metagenome pool. In addition to effect of taxonomic composition of the metagenomes, the number of mapped scaffolds also revealed structural differences between the two reference genomes, although the significance of this striking finding remains unclear. Finally, apparently exogenous sequences were recovered, including potential food plants, fungal pathogens, and bacterial symbionts. The “metagenome skimming” approach is useful for capturing the genomic diversity of poorly studied, species-rich lineages and opens new prospects in environmental genomic

Mitochondrial genomes (complete or partialI) of leaf beetles in the MitoRL and DeNovoRL

Contigs produced by shotgun sequencing of bulk genomic DNA (Illumina) and subsequent bioinformatics assembly. Contigs belong to two different reference libraries: a custom-built “mitochondrial reference library” (“MitoRL”) and a database of mitogenomes obtained by the de novo assembly of sequence reads from 10 real-world assemblages of leaf beetles ("DeNovoRL"). In the DeNovoRL, contigs were assembled individually for each sampling locality (“LocL”, the sampling locality is specified ) or combined for all ten libraries (“CombL”). An acronynm of species name is shown for each contig