Biology subjects

Zakharov, E.

Publications and source records attributed to Zakharov, E..

3 recordsLinked to original sources

bioRxiv2026

Predicting global biodiversity via Hubbell regression

Understanding global biodiversity patterns and their drivers is a prerequisite for countering the biodiversity crisis. In this paper, we introduce a novel generalized linear model, Hubbell regression, to estimate a key biodiversity descriptor, the fundamental biodiversity number. This can be converted into a set of biodiversity descriptors, including Shannon and Simpson indices, and more. Hence, quantifying the impact of environmental conditions on the fundamental biodiversity number allows us to predict the general properties of local biodiversity in any setting. In addition to having a strong mathematical foundation, Hubbell regression consistently outperformed current state-of-the-art models in predicting global biodiversity. We apply the method to arthropods, which account for the majority of terrestrial biodiversity. By parameterizing the models using samples of 1.78 million arthropods from 2415 samples collected at 135 sites spanning all continents, we pinpoint the drivers of arthropod biodiversity and its features at the global scale. We find that actual evapotranspiration is the single largest predictor of arthropod diversity and explains nearly 30% of the variation in richness. Moreover, we infer that high human activity has led to a 21.3 % and 29.2% decrease in potential insect richness in tropical and dry zones, respectively, but increased insect richness in polar regions. These insights bring a new foundation for biodiversity research and action.

ecology↗

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↗

bioRxiv2021

Message in a Bottle, Metabarcoding Enables Biodiversity Comparisons Across Ecoregions

BackgroundTraditional biomonitoring approaches have delivered a basic understanding of biodiversity, but they cannot support the large-scale assessments required to manage and protect entire ecosystems. This study employed DNA metabarcoding to assess spatial and temporal variation in species richness and diversity in arthropod communities from 52 protected areas spanning three Canadian ecoregions. ResultsThis study revealed the presence of 26,263 arthropod species in the three ecoregions and indicated that at least another 3,000-5,000 await detection. Results further demonstrate that communities are more similar within than between ecoregions, even after controlling for geographical distance. Overall -diversity declined from east to west, reflecting a gradient in habitat disturbance. Shifts in species composition were high at every site with turnover greater than nestedness, suggesting the presence of many transient species. ConclusionsDifferences in species composition among their arthropod communities confirm that ecoregions are a useful synoptic for biogeographic patterns and for structuring conservation efforts. The present results also demonstrate that metabarcoding enables large-scale monitoring of shifts in species composition, making it possible to move beyond the biomass measurements that have been the key metric employed in prior efforts to track change in arthropod communities.

ecology↗