Biology subjects

Prous, M.

Publications and source records attributed to Prous, M..

5 recordsLinked to original sources

bioRxiv2026

Divergent mega-NUMT mimicking entirely functional complete mitochondrial genome

Using long read sequencing, we report here a NUMT (nuclear fragment of mitochondrial origin) in a sawfly species Euura vittata that contains the entire coding region with all the genes in the same order as in the mitochondrion. The NUMT is 3.2% different from the mitochondrial sequence (4.1% divergence for COI barcode region), yet appears entirely functional when assuming mitochondrial genetic code. Examination of the NUMT containing contig of the whole genome assembly revealed no assembly issues and showed depth of coverage as expected for single copy nuclear genes, strongly suggesting nuclear integration rather than heteroplasmy. Based on mitochondrial COI data, the NUMT is most similar to a cluster of sequences containing mostly Euura tillbergi and related species (but also a few E. vittata specimens). The NUMT, therefore, may result from recent mitochondrial introgression explaining its divergence and functional appearance. The implications are that reports of divergent heteroplasmy need to be validated with long read or RNA sequencing, or by other appropriate experiments.

evolutionary biology↗

bioRxiv2026

Benchmarking full-length ITS metabarcoding across Illumina 2x500, PacBio, and Oxford Nanopore sequencing using mock and soil communities

Metabarcoding is a powerful tool for biodiversity comparisons, where standard-size DNA barcodes (>500 bases) offer better taxonomic resolution than shorter ones. Still, the choice of sequencing platforms and bioinformatics pipelines may strongly affect inferred diversity due to various technical biases. We assessed the relative performance of Illumina MiSeq i100 (2x500 paired-end), PacBio Revio and Oxford Nanopore MinION sequencing and bioinformatics pipelines, using full-length ITS amplicon sequencing datasets from a 103-species mock community and 45 composite soil samples. Despite numerous low-quality reads, PacBio yielded the lowest overall error rate and highest number of taxa. Illumina revealed the highest proportion of chimeric and index-switched reads, along with a strong bias towards shorter amplicons. MinION data analysed using PRONAME and Minovar - a bioinformatics pipeline presented here - had the largest proportion of low-quality data, and rare taxa were lost during data filtering and read polishing steps. Although Minovar enabled amplicon sequence variant (ASV) level precision for common taxa, we recommend clustering ASVs into OTUs. For PacBio, standard filtering approaches outperformed the ASV approach because they retained rare taxa. For Illumina, a stringent ASV approach or removal of rare OTUs would limit artefacts. Across all platforms, excess PCR cycles promoted chimeric and low-quality reads and lost quantitativity in biodiversity assessments. With moderate differences in effect sizes, all analytical approaches supported the conclusion that sampling design determines how we see soil biodiversity responses to land use. For biodiversity surveys based on the full-length ITS metabarcoding, we recommend using PacBio sequencing with standard, non-ASV pipelines.

bioinformatics↗

bioRxiv2025

Multiple variants of the mitochondrial COI DNA barcode region are prevalent in North European sawflies

DNA barcoding, the use of standard segments of DNA to assign specimens to a species, has emerged as a major field of biodiversity research over the last 20 years. Large-scale global initiatives are building DNA barcode reference libraries for animals, fungi, and plants, while pipelines are being developed for metabarcoding-based biomonitoring. The effectiveness of these approaches rests on the premise that much less variation exists within species than between them. While exceptions occur, this principle has been demonstrated to apply in the many animal taxa where the barcode region of the COI gene is effective in species discrimination. Sawflies are an exception to this general pattern because DNA barcodes often fail to distinguish congeneric species, an observation which prompted us to search for an explanation. Using high-throughput single-molecule DNA sequencing to recover COI sequences from thousands of sawflies, we found that single individuals often possess multiple, seemingly functional, full-length DNA barcodes - a phenomenon not documented at similar prevalence in any animal taxon. While the evolutionary causes of multiple variants require further investigation, our observation is remarkable as it violates the one-barcode-one-specimen assumption. The presence of multiple variants of barcodes within individuals does not jeopardize the concept, but its occurrence does introduce a complexity for species inventories based on metabarcoding. They will overestimate the species count when barcode-based operational species units are used as species proxies. Similarly, reference libraries must consider how best to deal with the high frequency of multiple variants in sawflies and any other groups of organisms. Significance StatementDNA barcoding is revolutionizing biodiversity science by enabling the accurate identification of organisms, accelerating taxonomic workflows, and permitting DNA-based biomonitoring. The DNA barcode region for the animal kingdom, mitochondrial COI, is highly effective in discriminating species in almost all studied animal groups. However, the use DNA barcoding is sometimes complicated by the presence of nuclear pseudogenes (NUMTs) or by variants of the mitogenome itself (heteroplasmy) within individuals. By using high-throughput sequencing (HTS) to analyze thou-sands of specimens, we demonstrate that multiple, seemingly functional, full-length variants of the COI barcode region are frequent in North European sawflies. Since these variants are sometimes very divergent, it is important to consider the impact of this within-individual variability on studies based on DNA barcodes.

evolutionary biology↗

bioRxiv2019

Completing Linnaeus’s Inventory of the Swedish Insect Fauna: Only 5000 Species Left

Despite more than 250 years of taxonomic research, we still have only a vague idea about the true size and composition of the faunas and floras of the planet. Many biodiversity inventories provide limited insight because they focus on a small taxonomic subsample or a tiny geographic area. Here, we report on the size and composition of the Swedish insect fauna, thought to represent roughly half of the diversity of multicellular life in one of the largest European countries. Our results are based on more than a decade of data from the Swedish Taxonomy Initiative and its massive inventory of the countrys insect fauna, the Swedish Malaise Trap Project The fauna is considered one of the best known in the world, but the initiative has nevertheless revealed a surprising amount of hidden diversity: more than 3,000 new species (301 new to science) have been documented so far. Here, we use three independent methods to analyze the true size and composition of the fauna at the family or subfamily level: (1) assessments by experts who have been working on the most poorly known groups in the fauna; (2) estimates based on the proportion of new species discovered in the Malaise trap inventory; and (3) extrapolations based on species abundance and incidence data from the inventory. For the last method, we develop a new estimator, the combined non-parametric estimator, which we show is less sensitive to poor coverage of the species pool than other popular estimators. The three methods converge on similar estimates of the size and composition of the fauna, suggesting that it comprises around 33,000 species. Of those, 8,600 (26%) were unknown at the start of the inventory and 5,000 (15%) still await discovery. We analyze the taxonomic and ecological composition of the estimated fauna, and show that most of the new species belong to Hymenoptera and Diptera groups that are decomposers or parasitoids. Thus, current knowledge of the Swedish insect fauna is strongly biased taxonomically and ecologically, and we show that similar but even stronger biases have distorted our understanding of the fauna in the past. We analyze latitudinal gradients in the size and composition of known European insect faunas and show that several of the patterns contradict the Swedish data, presumably due to similar knowledge biases. Addressing these biases is critical in understanding insect biomes and the ecosystem services they provide. Our results emphasize the need to broaden the taxonomic scope of current insect monitoring efforts, a task that is all the more urgent as recent studies indicate a possible worldwide decline in insect faunas.

ecology↗

bioRxiv2019

Detection of cross-contamination and strong mitonuclear discordance in two species groups of sawfly genus Empria (Hymenoptera, Tenthredinidae)

In several sawfly taxa strong mitonuclear discordance has been observed, with nuclear genes supporting species assignments based on morphology, whereas the barcode region of the mitochondrial COI gene suggesting different relationships. As previous studies were based on only few nuclear genes, the causes and the degree of mitonuclear discordance remain ambiguous. Here, we obtain genomic-scale ddRAD data together with Sanger sequencing of mitochondrial COI and two to three nuclear protein coding genes to investigate species limits and mitonuclear discordance in two closely related species groups within the sawfly genus Empria. As found previously based on nuclear ITS and mitochondrial COI sequences, species are in most cases supported as monophyletic based on previous and new nuclear data reported here, but not based on mitochondrial COI. This mitonuclear discordance can be explained by occasional mitochondrial introgression with little or no nuclear gene flow, a pattern that might be common in haplodiploid taxa with slowly evolving mitochondrial genomes. Some species in E. immersa group are not recovered as monophyletic also based on nuclear data, but this could partly be because of unresolved taxonomy. Preliminary analyses of ddRAD data did not recover monophyly of E. japonica within E. longicornis group (three Sanger sequenced nuclear genes strongly supported monophyly), but closer examination of the data and additional Sanger sequencing suggested that both specimens were substantially (possibly 10-20% of recovered loci) cross-contaminated. A reason could be due to specimen identification tag jumps during sequencing library preparation of pooled specimens that in previous studies have been shown to affect up to 2.5% of the sequenced reads. We provide an R script to examine patterns of identical loci among the specimens and estimate that cross-contamination rate is not unusually high for our ddRAD dataset as a whole (based on counting identical sequences between immersa and longicornis groups that are well separated from each other and probably do not hybridise). The high rate of cross-contamination for both E. japonica specimens might be explained by small number of recovered loci (~1000) compared to most other specimens (>10 000 in some cases) because of poor sequencing results. We caution drawing unexpected biological conclusions when closely related specimens are pooled before sequencing and tagged only at one end of the molecule or at both ends using unique combination of limited number of tags (less than the number of specimens).

evolutionary biology↗