Biology subjects

Sikora, M.

Publications and source records attributed to Sikora, M..

At least 19 recordsLinked to original sources

bioRxiv2026

Forensic likelihood ratios for shotgun sequencing data from DNA mixtures

Shotgun sequencing of DNA mixtures has the potential to become an important tool in forensic genetics, particularly for degraded samples or complex mixtures. However, the analysis of shotgun-sequenced mixtures is challenged by several confounding factors, including sequencing errors, population structure, the potential presence of relatives, linkage, and linkage disequilibrium. Additionally, the statistical methods currently available for such data are limited. Here, we develop likelihood ratios that summarize the evidence for the presence of a suspects DNA in a mixture, assuming genotypes of the suspect and the victim are available, while accounting for DNA from unknown contributors modeled either as general population contamination or as a single contaminating individual. We show that these likelihood ratios are not robust to model assumptions and can falsely support the presence of the suspects DNA when the true contributor is even a distant relative. We therefore propose a combined evidence score, {Lambda}: the likelihood ratio minimized over contamination models, reported only when the evidence favors the suspect over a hypothesized sibling by at least a factor of C (default C = 10) under at least one contamination model, and otherwise set to 1 (log {Lambda} = 0). In simulations based on 1000 Genomes data, {Lambda} retains nearly all power to detect true contributors at mixture proportions as low as 5% while eliminating the false positives produced by model mis-specification, population structure, and by untested relatives. The methods are implemented in the open-source program DNAMIXTURE, providing the forensic and population genetics community a resource for robustly identifying small individual contributions to a DNA mixture.

bioinformatics↗

bioRxiv2026

A near-ubiquitous plasmid characterises Second Pandemic Yersinia pestis

Yersinia pestis, the causative agent of plague, crippled population across Eurasia in three well-described historical pandemics: The Justinianic plague (541-780), the Second Pandemic (1346-1840) and the Third Pandemic (1894-). The Second Pandemic was the deadliest, with the Black Death (1346-1351) killing up to 60% of Europe's population, far exceeding the population mortality of the Third pandemic, despite few genomic differences between their plague strains. To identify unique genetic variation that could help explain the high death toll of the Second Plague pandemic, we used variation-graph based pan-genomics on a large dataset of 110 new and 12 published shotgun sequenced ancient plague genomes to comprehensively characterise the pangenome diversity of the Second Pandemic plague. Our pangenomic approach revealed the presence of a cryptic 34kb plasmid, pTP33, in almost all strains from the Second Pandemic, but undetectable in all other ancient strains. We find that pTP33 is a phage-plasmid-like derived element with homologues in Enterobacterales bacteria with established insect- or invertebrate-associated lifestyle phases. Our results suggest that pTP33 widened the range and infectivity of vector species available for plague transmission, consistent with reported effects on biofilm formation and bacterial retention. We hypothesise that pTP33 broadened the vector range of Y. pestis beyond the classical rat/flea cycle, facilitating the establishment of new rodent-ectoparasite plague reservoirs, which, critically, increased the risk of flea- or lice-mediated plague transmission between humans. Taken together, our findings offer a biological explanation for differences in transmission dynamics and population mortality between the Second and Third plague pandemics.

genomics↗

bioRxiv2026

Migrations facilitated the cultural diffusion of megaliths in Neolithic Europe

Around 6700 BP (years before present), Neolithic Europe saw the emergence of megalithic monuments in northern France, followed by a rapid spread to the rest of the continent1. However, whether this was driven by the transmission of ideas (cultural diffusion) or the movement of people remains debated. To test whether this spread coincided with population movements, we reconstructed the population history of the European Neolithic ([~]6500-4800 BP) by analysing genomic data from 2963 ancient individuals, including 46 unpublished genomes from megalithic and related contexts. To assess the alternative scenario whereby megaliths spread through contact networks, as expected under cultural diffusion, we integrated archaeological evidence with radiocarbon chronologies to reconstruct past trading networks. We identify northern France, where megaliths first emerged, as a zone of genetic admixture and cultural influence from the two major early Neolithic divisions: the Cardial of the Western Mediterranean and the Linear Pottery traditions of central Europe. From this admixed population, we uncover several migrations associated with the formation of the Funnel Beaker Culture in north-central Europe and the neolithisation of Scandinavia and the British Isles. We find that megaliths were spread exclusively within regions impacted by Cardial-related genetic ancestry, but only in the British Isles and Ireland did their emergence coincide with the time of the migration. The temporal delay between the migrations and the spread of megaliths elsewhere reveals that neither population movements nor cultural diffusion alone fully explains the geospatial distribution of the megalithic tradition. Rather, megaliths diffused across different Neolithic groups whose long-distance trade networks formed in the wake of earlier population movements. Our findings highlight the need to move beyond simplistic interpretations that present migrations or cultural diffusion as isolated events bringing technological and cultural innovations.

evolutionary biology↗

bioRxiv2025

O-GlcNAcylation and an importin-β radial gradient keep the FG barrier liquid in live-cell nuclear pores

Summary ParagraphThe nuclear pore complex (NPC) regulates the molecular traffic between nucleus and cytoplasm.1,2 Its permeability barrier is formed by intrinsically disordered proteins (IDPs) known as FG-nucleoporins (FG-NUPs), whose physical state has long been debated.3-13 Deciphering how FG-NUPs behave inside living cells is crucial for understanding how the NPC achieves selective and rapid transport. Here, by combining site-specific labelling with picosecond time-resolved fluorescence anisotropy, we reveal that FG domains exhibit nanosecond-scale, liquid-like mobility in live cells, yet undergo a liquid-to-solid transition in vitro. Experiments and coarse-grained molecular dynamics simulations further show that importin-{beta}, a major nuclear transport receptor, and O-linked {beta}-N-acetylglucosamine (O-GlcNAc), a key post-translational modification of FG-NUPs together stabilise the dynamic FG network. Finely balanced FG-FG interactions modulated by O-GlcNAcylation, along with FG-importin-{beta} interactions, maintain liquidity and enrich importin-{beta} near the NPC periphery, while extended FG domains remain in the central channel to form the transport barrier. These findings reconcile conflicting models of FG-NUP organisation4,6,8,10,14,15 and explain the recent observations in high-resolution MINFLUX studies of importin-{beta} depletion from the pore centre in mammalian cells.16 Beyond resolving debates over FG-NUP behaviour, our study underscores the importance of studying IDPs in their cellular context, with broader implications for understanding IDP-related diseases, including viral infections, cancer, and neurodegenerative disorders.

biophysics↗

bioRxiv2025

ybyra: Y-chromosome haplogroup calling using a tree-based scoring method

We present ybyra, a Snakemake workflow for automated Y-chromosome haplogroup assignment using a tree-based scoring method with robust and transparent heuristics. The pipeline supports both human reference genome builds 37 and 38, makes use of three different well-curated Y-SNP tree topologies and features an optional ancient DNA damage filter to accommodate low-coverage degraded samples. ybyra produces reproducible, scalable haplogroup calls with detailed scoring outputs to facilitate quality assessment and reporting. We further showcase its versatility by applying it to horse Y-chromosome data, highlighting its applicability beyond humans. Availabilityybyra is published under the MIT license and freely available at github.com/tpinotti/ybyra.

bioinformatics↗

bioRxiv2025

Environmental DNA Reveals Reykjavik's Human and Ecological History

Iceland was among the last large islands settled by humans, with colonization (Landnam) in the late 9th century CE (Common Era) and is often portrayed as an ecological disaster driven by the Norse settlers. Here, we revisit this narrative through environmental DNA (eDNA) and multiproxy analyses of sediment cores from Lake Tjornin in central Reykjavik, one of Icelands earliest and longest-occupied settlements. Originally a marine embayment, Tjornin became a freshwater lake around 660 CE. Our record reveals a human presence decades before the long-accepted arrival date of 877 CE, marked by the Landnam volcanic tephra. Early settlement brought livestock, barley cultivation, and other introduced taxa that enhanced nutrient cycling and unexpectedly increased local biodiversity. Contrary to the conventional view of rapid deforestation, eDNA shows that birch and willow expanded during the settlement period, likely supported by deliberate management. Pronounced ecological and land use shifts occurred after 1200 CE, but these were coeval with the Little Ice Age cooling, compounded by volcanic eruptions, storm surges, and plague, rather than anthropogenic degradation. Crop cultivation ceased, arboreal taxa retracted, and grazing pressure maintained open landscapes. Even more profound ecological changes came after c. 1750 CE with urbanization and industrialization, as wastewater discharge, heavy-metal pollution, and fossil fuel use reshaped Tjornins ecosystem. These findings challenge the prevailing model of Norse-induced environmental collapse, revealing instead a dynamic human-environment relationship shaped by both cultural practices and external stressors. By applying eDNA to a long-occupied urban catchment, we demonstrate the power of genomic methods to refine settlement chronologies, reassess ecological baselines and changes, and integrate natural and cultural histories. This approach offers a model for revisiting human-environment interactions in urban centers worldwide.

genomics↗

bioRxiv2025

Multi-barrier unfolding of the double-knotted protein, TrmD-Tm1570, revealed by single-molecule force spectroscopy and molecular dynamics

The doubly knotted motif is one of the least expected features in proteins, occurring in both globular and transmembrane forms. Here, we focus on globular protein members of the methyltransferase family: the TrmD-Tm1570 protein, which contains two deep 31 knots, and the single-knotted proteins TrmD and Tm1570, all from Calditerrivibrio nitroreducens. Using various biophysical experimental techniques and computer simulations with AI-based methods, we studied their thermal and thermodynamic stability, as well as their mechanical unfolding. Based on molecular dynamics (MD) simulations, with the Structure-Based C Model (SBM-C) and UNRES (coarse-grained), we show that native contacts alone are not sufficient to fold double-knotted proteins. However, native contacts are sufficient to fold the single-knotted proteins TrmD and Tm1570 into their native conformations. Using the same model, we identified four possible unfolding and untying pathways, in which each domain can self-tie independently at some stage of the process. Optical tweezers (OT) experiments show that this process is also reversible, although the stretched state remains knotted. In addition, we observed higher thermal and mechanical stability in Tm1570 compared with TrmD, which is partly attributable to the position of the knot core. Overall, our results suggest that double-knotted protein from the SPOUT family can only partially self-fold, and that full knotting may require the assistance of a chaperone.

biophysics↗

bioRxiv2025

Tracing the Spread of Celtic Languages using Ancient Genomics

Celtic languages, including Irish, Scottish Gaelic, Welsh and Breton, are today restricted to the Northern European Atlantic seaboard. However, between three and two thousand years before present (BP), Celtic was widely spoken across most of Europe before being largely replaced by Germanic, Latin or Slavic1-4. Despite this rich history, how Celtic spread across the European continent remains contentious5. The debate is currently focused around three main models based on historical linguistics and archaeology: (1) a Late Bronze Age/Early Iron Age spread from Central Europe associated with the Hallstatt and La Tene Cultures6-9; (2) a Late Neolithic/Early Bronze Age spread along the Atlantic seaboard linked to the Bell Beaker Culture10-13; and (3) a Bronze Age spread from France, Iberia or Northern Italy14-16. Previous genomic investigations are centred around the arrival of Celtic to specific regions: Britain17, Iberia18 and Southwestern Germany19. Here, we utilise new genomic data from Bronze and Iron Age Europe to test how the population histories align with the three models of prehistoric spread of the Celtic languages. In line with the theory that Celtic spread from Central Europe during the Late Bronze Age to Early Iron Age, we find Urnfield-related ancestry - specifically linked to the Knoviz subgroup to have formed between 4 and 3.2 kyr BP, and subsequently expanded across much of Western Europe between 3.2 and 2.8 kyr BP. This ancestry further persisted into the Hallstatt Culture of France, Germany and Austria, impacting Britain by 2.8 kyr BP and Iberia by 2.5 kyr BP. Our findings thus agree with the model of Central European spread of the Celtic languages through consecutive expansions of the Urnfield, Hallstatt and La Tene Cultures rather than the competing models. These results demonstrate, yet again, the power of ancient population genomics in addressing long-standing debates in historical linguistics and archaeology.

evolutionary biology↗

bioRxiv2024

Lethal Plague Outbreaks in Lake Baikal Hunter-gatherers 5500 Years Ago

The rise of zoonotic diseases in prehistory is often associated with the Neolithic agricultural transition1,2. In particular, plague has been linked to population declines in Late Neolithic Europe3,4. Although plague is amongst the most devastating diseases in human history, early strains of Yersinia pestis, the causal agent of plague, lack virulence factors required for the bubonic form5, and their severity remains unclear. Here, we describe the oldest strains of plague reported so far, associated with two early phases of outbreaks among prehistoric hunter-gatherers in the Lake Baikal region in East Siberia, beginning from [~]5600-5400 years ago (cal. BP). These outbreaks occur across four hunter-gatherer cemeteries; the largest of these (Ust-Ida I) has a 38.7% detection rate for plague infection (39% detection across all sites). By reconstructing kinship pedigrees, we show that small familial groups are affected, consistent with human-to-human spread of the disease, and the first outbreak occurred within a single generation. Intriguingly, the infections appear to have resulted in acute mortality events, especially among children. Zoonotic transmission is separately indicated by a Brucella infection in one of the children. Interestingly, we see differences in functional genomic variants in the prehistoric plague strains, including in the ypm superantigen known from Y. pseudotuberculosis today. The new strains diverge ancestrally to all known Y. pestis diversity and push back the Y. pestis divergence from Y. pseudotuberculosis by some 2000 years6. Our results show that plague outbreaks happen earlier than previously thought and that these early outbreaks were indeed lethal. The findings challenge the common notion that high population densities and lifestyle changes during the Neolithic transition were prerequisites for plague epidemics.

genetics↗

bioRxiv2024

Refining Martini Force Field Interactions for Accurate Glycoprotein Modeling

Covalently attached sugar molecules play important roles as mediators of biomolecular interactions. Molecular dynamics simulations are an indispensable tool to explore these interactions at the molecular level. The large time and length scales involved frequently necessitate the use of coarse-grained representations, which heavily depend on the parameterization of sugar-protein interactions. Here, we adjust the sugar-protein interactions in the widely used Martini 2.2 force field to reproduce the experimental second virial coefficients between sugars and proteins. In simulations of two model proteins in glucose solutions with adjusted force field parameters, we observe weak protein-sugar interaction. The sugar molecules are thus acting mainly as crowding agents, in agreement with experimental measurements. The procedure to fine-tune sugar-protein interactions is generally applicable and could prove useful also for atomistic force fields.

biophysics↗

bioRxiv2024

Robotic-inspired approach to multi-domain membrane receptor conformation space: theory and SARS-CoV-2 spike protein case study

1The spike protein of SARS-CoV-2 is a highly flexible membrane receptor that triggers the translocation of the virus into cells by attaching to the human receptors. Like other type I membrane receptors, this protein has several extracellular domains connected by flexible hinges. The presence of these hinges results in high flexibility, which consequently results in challenges in defining the conformation of the protein. Here, We developed a new method to define the conformational space based on a few variables inspired by the robotic fields methods to determine a robotic arms forward kinematics. Using newly performed atomistic molecular dynamics (MD) simulations and publicly available data, we found that the Denavit-Hartenberg (DH) parameters can reliably show the changes in the local conformation. Furthermore, the rotational and translational components of the homogenous transformation matrix constructed based on the DH parameters can identify the changes in the global conformation of the spike and also differentiate between the conformation with a similar position of the spike head, which other types of parameters, such as spherical coordinates, fail to distinguish between such conformations. Finally, the new method will be beneficial for looking at the conformational heterogeneity in all other type I membrane receptors.

biophysics↗

bioRxiv2023

The landscape of ancient human pathogens in Eurasia from the Stone Age to historical times

Infectious diseases have had devastating impacts on human populations throughout history, but important questions about their origins and past dynamics remain1. To create the first archaeogenetic-based spatiotemporal map of human pathogens, we screened shotgun sequencing data from 1,313 ancient humans covering 37,000 years of Eurasian history. We demonstrate the widespread presence of ancient bacterial, viral and parasite DNA, identifying 5,486 individual hits against 492 species from 136 genera. Among those hits, 3,384 involve known human pathogens2, many of which were detected for the first time in ancient human remains. Grouping the ancient microbial species according to their likely reservoir and type of transmission, we find that most groups are identified throughout the entire sampling period. Intriguingly, zoonotic pathogens are only detected [~]6,500 years ago, peaking [~]5,000 years ago, coinciding with the widespread domestication of livestock3. Our findings provide the first direct evidence that this lifestyle change resulted in an increased infectious disease burden. Importantly, they also suggest that the spread of these pathogens increased substantially during subsequent millenia, coinciding with the pastoralist migrations from the Eurasian Steppe4,5.

evolutionary biology↗

bioRxiv2023

Knot or Not? Sequence-Based Identification of Knotted Proteins With Machine Learning

Knotted proteins, although scarce, are crucial structural components of certain protein families, and their roles remain a topic of intense research. Capitalizing on the vast collection of protein structure predictions offered by AlphaFold, this study computationally examines the entire UniProt database to create a robust dataset of knotted and unknotted proteins. Utilizing this dataset, we develop a machine learning model capable of accurately predicting the presence of knots in protein structures solely from their amino acid sequences, with our best-performing model demonstrating a 98.5% overall accuracy. Unveiling the sequence factors that contribute to knot formation, we discover that proteins predicted to be unknotted from known knotted families are typically non-functional fragments missing a significant portion of the knot core. The study further explores the significance of the substrate binding site in knot formation, particularly within the SPOUT protein family. Our findings spotlight the potential of machine learning in enhancing our understanding of protein topology and propose further investigation into the role of knotted structures across other protein families. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=111 SRC="FIGDIR/small/556468v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@1466077org.highwire.dtl.DTLVardef@1674829org.highwire.dtl.DTLVardef@1b283a5org.highwire.dtl.DTLVardef@e0e962_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2023

Proteins containing 6-crossing knot types andtheir folding pathways

Studying complex protein knots can provide new insights into potential knot folding mechanisms and other fundamental aspects of why and how proteins knot. This paper presents results of a systematic analysis of the 3D structure of proteins with 6-crossings knots predicted by the artificial intelligence program AlphaFold 2. Furthermore, using a coarse-grained native based model, we found that three representative proteins can self tie to a 63 knot, the most complex knot found in a protein thus far. Because it is not a twist knot, the 63 knot cannot be folded via a simple mechanism involving the threading of a single loop. Based on successful trajectories for each protein, we determined that the 63 knot is formed after folding a significant part of the protein backbone to the native conformation. Moreover, we found that there are two distinct knotting mechanisms, which are described here. Also, building on a loop flipping theory developed earlier, we present two new theories of protein folding involving the creation and threading of two loops, and explain how our theories can describe the successful folding trajectories for each of the three representative 63-knotted proteins.

biophysics↗

bioRxiv2023

A 2-million-year-old microbial and viral communities from the Kap Kobenhavn Formation in North Greenland

Environmental DNA (eDNA) from the 2-million-year-old Kap Kobenhavn Formation of northern Greenland has revealed an ecosystem of plants and animals with no contemporary analogue1. Here, we reconstruct the microbial (bacterial, archaeal, and viral) communities that thrived at the site during this time. By leveraging a novel analytical framework that integrates taxonomic profiling, DNA damage estimates, and functional reconstructions, we identify and distinguish pioneer microbial communities from later permafrost microbial assemblages. We show that at the time of sediment deposition, the terrestrial input at the Kap Kobenhavn site originated from a palustrine wetland, suggesting warmer, non-permafrost conditions. During this period, the detection of methanogenic archaea and signals of their carbon metabolism is consistent with Kap Kobenhavn and similar northern ecosystems contributing moderate methane emissions. Intriguingly, we discover a remarkable nucleotide sequence similarity--exceeding 98%--between pioneer methanogens and present-day analogues in thawing permafrost. This aligns with the concept of "time-traveling" microbes2 surviving across geological time and waiting for conditions to turn favourable rather than evolving to adapt to changing conditions. Importantly, in contrast to the plant and animal communities of the Kap Kobenhavn, a striking similarity in microbial composition to that of a contemporary thawing Arctic suggests that microbial communities may serve as the first indication of broader climate-driven ecosystem disruptions.

microbiology↗

bioRxiv2023

A late Neanderthal reveals genetic isolation in their populations before extinction

Neanderthal genomes have been recovered from sites across Eurasia, painting an increasingly complex picture of their populations structure, mostly indicating that late European Neanderthals belonged to a single metapopulation with no significant evidence of deep population structure. Here we report the discovery of a late Neanderthal individual, nicknamed "Thorin", from Grotte Mandrin in Mediterranean France, and his genome. These dentognathic fossils, including a rare example of distomolars, are associated with a rich archeological record of their final technological traditions in this region [~]50-42 thousand years ago. Thorins genome reveals a deep divergence with other late Neanderthals. Thorin belonged to a population with small group size that showed no genetic introgression with other known late European Neanderthals, revealing genetic isolation of his lineage despite them living in neighboring regions. These results have important implications for resolving competing hypotheses about causes of the Neanderthals disappearance. One Sentence SummaryA new French Neanderthal fossil and its genome reveal complex population dynamics during the past 100,000 years.

genomics↗

bioRxiv2023

Colonization of axenic beet by rhizosphere bacteria takes place in discreet phases regardless of bioinculation with next generation bioinoculant

Bioinoculation can increase crop yields under environmental stress. Plant colonization by microbes is an example of succession, with its distinct phases differing in community structure and diversity. This process needs to be studied to determine the optimal timing for bioinoculation and its effects. Haere, we show that, regardless of bio-inoculation, soil type and plant genotype, bacteria colonize the rhizosphere of axenic beets and tissues in two phases, differing in bacterial load, nestedness, community structure, diversity and assembly mechanism, and associated with taproot development. Communities remained stable after five weeks of growth in soil. The alpha diversity was greater and the bacterial load was lower in the late samples than in the early ones. Time, soil type and genotype determined community structure but not alpha diversity, bacterial load, nestedness or assembly mechanisms both in the rhizosphere and in the endosphere. Inoculation changed the community structure and members of Pseudomonadota and Bacillota of low abundance in the inoculant were recruited by beets. Axenic beet colonization occurs through phases similar to other instances of microbial succession, and bacteria are recruited mostly randomly. The transition from the early to late phase involves a decrease in the bacterial load in plant tissues, which may be linked to plant growth and the arrest of bacterial cell division. Therefore, early inoculation seems to be favourable. Five weeks of growth in soil enabled formation of stable bacterial communities in both the rhizosphere and the endosphere. The influence of inoculation seems to be indirect, probably due to microbe-microbe interactions.

microbiology↗

bioRxiv2022

Structure of the two-component S-layer of the archaeon Sulfolobus acidocaldarius

Surface layers (S-layers) are resilient two-dimensional protein lattices that encapsulate many bacteria and most archaea. In archaea, S-layers usually form the only structural component of the cell wall and thus act as the final frontier between the cell and its environment. Therefore, S-layers are crucial for supporting microbial life. Notwithstanding their importance, little is known about archaeal S-layers at the atomic level. Here, we combined single particle cryo electron microscopy (cryoEM), cryo electron tomography (cryoET) and Alphafold2 predictions to generate an atomic model of the two-component S-layer of Sulfolobus acidocaldarius. The outer component of this S-layer (SlaA) is a flexible, highly glycosylated, and stable protein. Together with the inner and membrane-bound component (SlaB), they assemble into a porous and interwoven lattice. We hypothesize that jackknife-like conformational changes, as well as pH-induced alterations in the surface charge of SlaA, play important roles in S-layer assembly.

microbiology↗