Biology subjects

Kovacic, I.

Publications and source records attributed to Kovacic, I..

5 recordsLinked to original sources

bioRxiv2026

Convergent molecular changes in populations of two pipefish species in the Baltic Sea

While studies of molecular convergence typically focus on species that independently evolved similar phenotypes, similar questions can be asked among populations of different species adapting to the same environment. Here, we study the Baltic Sea environmental gradient and two co-distributed, ecologically similar, but distantly related pipefish species, the broadnosed pipefish (Syngnathus typhle) and the straightnose pipefish (Nerophis ophidion), to test whether independent colonization of the Baltic Sea led to similar population structure and caused convergence at different genomic levels. Using a new diploid genome for S. typhle and whole-genome resequencing data (N=99 for S. typhle; N=81 for N. ophidion) across seven locations from France to Finland, we identified stronger population structure in S. typhle than in N. ophidion, while both species showed differentiation between North Atlantic, Danish Straits, and Baltic Sea populations. Genetic diversity was lower in Baltic populations, particularly in S. typhle. Cross-species comparisons of Baltic populations revealed contrasting chromosome-level patterns of genomic differentiation, with differentiation spread across the genome in S. typhle but concentrated in specific chromosomal regions in N. ophidion. Nonetheless, we identified multiple orthologous genes and SNPs showing convergent differentiation in the Baltic populations of both species, including genes related to metabolism, immunity, and regulatory functions. Overall, we identified molecular convergence at the gene and nucleotide level between Baltic populations of distantly related pipefish species, while convergence was limited at broader genomic scales. These findings suggest that similar environmental pressures can repeatedly target specific genetic elements even when genomic backgrounds and population structures differ.

evolutionary biology↗

bioRxiv2026

Sea stickleback genome reveals repeated chromosomal rearrangements in sticklebacks

Sticklebacks (Gasterosteidae) encompass model organisms which are of particular interest for evolutionary and ecological genomics. Within Gasterosteidae, chromosome number is variable (2n=40-46) and independent fusions of homologous chromosomes have been proposed. The sea stickleback (or fifteen-spined stickleback, Spinachia spinachia ) has the lowest known number of chromosomes (2n=40) and hence is crucial in understanding chromosome evolution among sticklebacks, but is so far missing in genomic datasets. Here, we present a high-quality diploid genome assembly of S. spinachia. PacBio HiFi and Hi-C reads were assembled into a genome of 407.5 Mb in size, consisting of 20 chromosomes, with an N50 of 6.6 Mb and 98.96% complete single-copy BUSCO genes. A phylogenetic tree inferred across five stickleback species and four outgroup genomes from 19,156 genes, alongside synteny analyses and ancestral chromosome reconstructions, confirms S. spinachia as the sister species to the four-spined stickleback (Apeltes quadracus) and not as the sister group to all other sticklebacks as once thought. It has one species-specific chromosome fusion and shares two fusions with the three-spined stickleback (Gasterosteus aculeatus), none of which are present in its sister species. One of these fusions is also present in Pungitius, leading to reinterpretion of this fusion as ancestral to Gasterosteidae, with subsequent fission in Apeltes. This implies a lower ancestral chromosome number in Gasterosteidae (2n=44) than previously thought. The other fusion shared with G. aculeatus presents a case of convergence. Our results suggest that karyotype evolution in Gasterosteidae has been shaped by ancestral chromosome fusion, convergent fusion, and secondary fission.

evolutionary biology↗

bioRxiv2026

Evolutionary history and genomic vulnerability of the extinct giant deer Megaloceros giganteus

The extinct giant deer (Megaloceros giganteus) was one of the most striking megafaunal species of the Late Quaternary, distinguished by its enormous palmated antlers reaching up to 3.5 m across, the largest known among both living and extinct cervids. Despite its iconic status, little is known about its genomic history prior to extinction [~]8 thousand years ago (kya). We generated the first nuclear palaeogenomes for Megaloceros, represented by nine individuals from Germany ([~]40 kya) and Ireland ([~]11 kya), mapped to a new chromosome-level reference genome of the fallow deer (Dama dama). Phylogenomic analyses placed Megaloceros as sister to Dama (divergence [~]3.5 Ma) and revealed evidence of gene flow with ancestral Cervus lineages. Population analyses identified clear differentiation between German and Irish lineages, with higher genetic diversity in the German individuals. Two genes under strong positive selection, BNIPL and SLC10A7, are associated with apoptosis regulation and skeletal development/bone mineralisation, respectively, and may relate to the species large body and antler size. Demographic reconstructions indicate a long-term decline in effective population size, extremely low heterozygosity, little evidence of extensive runs of homozygosity, and an elevated burden of predicted deleterious alleles. Together, these results suggest that Megaloceros entered the terminal Pleistocene in a genomically fragile state, offering new insight into the biology and evolutionary legacy of one of the largest and most distinctive cervids that ever lived.

evolutionary biology↗

bioRxiv2025

Convergent Evolution of Sociality Causes Reduction of Mutation Rates in Spiders

Germline mutation rates influence the pace of molecular evolution, yet the roles of selection and life history in shaping their evolution remain to be determined. Comparative systems with replicated evolutionary transitions provide a unique opportunity to determine how changes in life history influence germline mutation rates. In the spider genus Stegodyphus, permanent sociality evolved independently three times within the past million years and is associated with obligate inbreeding, female-biased sex ratios, reduced fecundity, and sharply reduced effective population sizes. We sequenced 202 parent-offspring trios from 34 full-sibling families across three social and four closely related subsocial species and analysed quality-filtered trios in a phylogenetic comparative framework. Each independent transition to sociality was associated with an approximately 2-fold reduction in the de novo mutation rate in the germline. Phylogenetic analyses of synonymous branch lengths suggest that the mutation rates declined in parallel with the transitions to sociality. These rapid reductions in mutation rates in social lineages with small effective population sizes run counter to the drift-barrier hypothesis, which predicts that reduced selection efficacy would lead to higher mutation rates. We find no evidence that reduced mutation rates in the social species was favoured by selection for improving DNA repair efficiency, since there is no upregulation of DNA repair pathway genes in the ovaries of the social species. On the contrary, the mutation rate is reduced across mutational classes and in somatic tissue in social species compared with their subsocial counterparts. These patterns suggest that the reduction in mutation rate in social spiders is a consequence of convergent life history changes, including reduced body size and production of fewer, larger eggs. Our results highlight that the evolution of sociality, which entails major life history changes, can rapidly reshape fundamental evolutionary parameters, such as the germline mutation rate.

evolutionary biology↗

bioRxiv2025

Accurate plasmid reconstruction from metagenomics data using assembly-alignment graphs and contrastive learning

Plasmids are extrachromosomal DNA molecules that enable horizontal gene transfer in bacteria, often conferring advantages such as antibiotic resistance. Despite their significance, plasmids are underrepresented in genomic databases due to challenges in assembling them, caused by mosaicism and micro-diversity. Current plasmid assemblers rely on detecting circular paths in single-sample assembly graphs, but face limitations due to graph fragmentation and entanglement, and low coverage. We introduce PlasMAAG (Plasmid and organism Metagenomic binning using Assembly Alignment Graphs), a framework to recover plasmids and organisms from metagenomic samples that leverages an approach that we call "assembly-alignment graphs" alongside common binning features. On synthetic benchmark datasets, PlasMAAG reconstructed 50-121% more near-complete plasmids than competing methods and improved the Matthews Correlation Coefficient of geNomad contig classification by 28-106%. On hospital sewage samples, PlasMAAG outperformed all other methods, reconstructing 33% more plasmid sequences. PlasMAAG enables the study of organism-plasmid associations and intra-plasmid diversity across samples, offering state-of-the-art plasmid reconstruction with reduced computational costs.

bioinformatics↗