Biology subjects

Moritz, C.

Publications and source records attributed to Moritz, C..

13 recordsLinked to original sources

bioRxiv2026

What shapes intraspecific genetic diversity in amphibians and reptiles? A comparative macrogenetic study across six biogeographic regions

Aim: Given that much of Earth's biodiversity is contained within species, inferring intraspecific genetic diversity and identifying its ecological correlates is essential for understanding evolutionary processes and informing conservation. Here, we investigate broad-scale variation in species-level mitochondrial genetic diversity and evaluate the relative importance of alternative ecological hypotheses proposed to explain it. Location: Brazilian Atlantic Forest, Iberian Peninsula, northwestern Africa, Arabian Peninsula, Madagascar and Australian Monsoonal Tropics. Taxon: Amphibians and reptiles Methods: We assembled a comprehensive dataset by integrating and manually curating mitochondrial sequences, occurrence records, environmental data and species traits from multiple open-access sources. We used multiple mitochondrial genes to estimate mean nucleotide diversity for each study species and quantified regional variation in genetic diversity. We then used random forests models to evaluate the relative importance of selected variables representing hypotheses related to water-energy availability, topography, historical climatic stability, land-cover characteristics, species geographic characteristics, life-history traits, evolutionary history and conservation status. Results: The final dataset comprised 247 amphibians and 295 reptiles, for which 43 and 52 explanatory variables were evaluated, respectively. Overall, the strongest support was found for hypotheses related to life-history traits, topographic heterogeneity and water-energy availability. In amphibians, higher genetic diversity was associated with smaller body size and greater environmental heterogeneity, particularly broader elevational and precipitation gradients. In reptiles, genetic diversity was primarily associated with life-history traits, with species of smaller body size and lower reproductive output exhibiting higher diversity. Long-term climatic stability showed comparatively little explanatory power for both taxa. Main conclusions: Our comprehensive study demonstrates that integrating extensive manual data curation with comparative macrogenetic analyses provides a robust framework for identifying broad-scale ecological correlates of mitochondrial genetic diversity. These findings improve our understanding of the factors associated with contemporary patterns of genetic diversity and provide a foundation for future conservation assessments in data-limited systems.

evolutionary biology↗

bioRxiv2026

Overcoming data limitations in macrogenetics: assessing and accounting for spatial heterogeneity in sequence data

At large scales, our ability to compare genetic diversity across species is often challenged by the difficulty of extracting range-wide sequence data from online databases. Using mitochondrial DNA from amphibians and reptiles spanning across six regions: Brazilian Atlantic Forest, Iberian Peninsula, northwestern Africa, Arabian Peninsula, Madagascar and Australian Monsoonal Tropics, we develop and implement a framework to overcome common limitations in macrogenetics. We compiled and manually curated a spatially explicit genetic dataset from public repositories, quantified the spatial representativeness of genetic sampling across species' ranges and developed a novel interpolation framework to estimate and map species-specific patterns of intraspecific genetic diversity (ISD) while accounting for heterogeneous spatial sampling. We estimated mean nucleotide diversity across species to produce regional maps for each genetic marker. Our final dataset comprised 182 amphibian and 239 reptile species, encompassing 184 genera from 54 families. Range representativeness of genetic sampling was generally high, despite some variation across study regions. Spatial patterns of ISD revealed geographic heterogeneity, and were consistent across the best-sampled mitochondrial markers. By combining automated and manual georeferencing, quantifying range representativeness, and accounting for bias in spatial interpolations, our pipeline is marker-agnostic and directly applicable to nuclear and genomic data as they become available.

evolutionary biology↗

bioRxiv2026

Alcohol dehydrogenase-mediated methanol dissimilation increases carbon efficiency in synthetic autotrophic yeast

The efficient production of food and biochemicals using microorganisms that utilize single-carbon feedstocks presents a promising approach for advancing a circular bioeconomy. Komagataella phaffii (formerly Pichia pastoris) is a methylotrophic yeast already widely used in industry, making it an attractive host for such applications. Recently, K. phaffii was converted into an autotrophic strain capable of assimilating CO2 into both biomass and secreted organic acids, using energy derived from dissimilation of methanol to CO2. In these strains, methanol oxidation is catalysed by an alcohol oxidase (Aox2), which transfers electrons to oxygen without conserving reducing equivalents. To address this limitation, in this study we explored redirecting methanol dissimilation through the native alcohol dehydrogenase (Adh2), coupling methanol oxidation with NADH generation to improve carbon efficiency. By deleting AOX2 and overexpressing ADH2, we generated Adh2-based autotrophic strains that exhibited growth rates comparable to the parental strain (0.007 h-{superscript 1}), while reducing specific CO2 production by 53% and increasing biomass yield (YX/MeOH) by 59%. We further applied this strategy to convert previously developed autotrophic strains producing itaconic acid and lactic acid into Adh2-dependent strains. Optimizing ADH2 expression through multicopy integration resulted in strains with approximately two-fold higher molar carbon efficiency (Y(X+P)/CO2) while achieving elevated product titers--2.2-fold for itaconic acid and 3.8-fold for lactic acid--relative to the parental strains. Our findings demonstrate that alcohol dehydrogenase-mediated methanol dissimilation can significantly improve yield and productivity of autotrophic K. phaffii strains, with broad implications for sustainable bioproduction from one-carbon substrates.

biochemistry↗

bioRxiv2025

Shining a light on daytime coral spawning synchrony across oceans

AimThe variety of coral taxa and environmental cues triggering broadcast spawning gave rise to contrasting theories about coral reproduction synchrony. Here, we shine a new light on this synchrony across oceans by highlighting how environmental cues modulate spawning time at various spatial scales in an understudied yet abundant gonochoric coral species. Location. South Indian and Pacific Oceans. Time period. 2014-2023. Major taxa studied. Porites rus. MethodsPorites rus daytime spawning was investigated using a non-invasive citizen science approach (>300 voluntary observers) at colony, reef, island and ocean scales. Spawning time was recorded between 2014 and 2023 at a total of 104 reef locations from 15 islands in 3 countries and multiple depths across the Indian and Pacific Oceans. Statistical models were employed to assess the relationships between spawning time and depth, light, and sea surface temperature at different spatial scales, and in both male and female colonies. ResultsSpawning occurred synchronously for colonies located a few meters to >15,000 km apart, monthly five days after full moon over an extended, uninterrupted period from October to April. Strong linear relationships between depth, light, water temperature and spawning time after sunrise hold at the different spatial scales, for both males and females which spawn ca. 20 minutes apart. Interestingly, single colonies spawned across consecutive days and months. Main conclusionsThe largest dataset for a daytime coral species compiled here allows extremely accurate predictions of P. rus spawning months, days and time (to the minute) at different locations and depths in the Southern Hemisphere. Previously underexplored, the highly effective reproductive strategy of P. rus may explain its broad distribution and persistence in stressed environments, positioning it as an invaluable model organism for studying the physiological and genetic processes driving behavioural synchrony and biological rhythms across interconnected biogeographical regions.

ecology↗

bioRxiv2024

Nanomaterials trigger functional responses in primary human immune cells

Targeting the immune system with nanoparticles (NPs) to deliver immunomodulatory molecules emerged as a solution to address intra-tumoral immunosuppression and enhance therapeutic response. While the potential of nanoimmunotherapies in reactivating immune cells has been evaluated in several preclinical studies, the impact of drug-free nanomaterials on the immune system remains unknown. Here, we characterize the molecular and functional response of human NK cells and pan T cells to a selection of five NPs that are commonly used in biomedical applications. After a pre-screen to evaluate the toxicity of these nanomaterials on immune cells, we selected ultrasmall silica-based gadolinium (Si-Gd) NPs and poly(lactic-co-glycolic acid) (PLGA) NPs for further investigation. Bulk RNA-sequencing and flow cytometry analysis showcase that PLGA NPs trigger a transcriptional priming towards activation in NK and pan T cells. While PLGA NPs improved NK cells anti-tumoral functions in cytokines-deprived environment, Si-Gd NPs significantly impaired T cells activation as well as functional responses to a polyclonal antigenic stimulation. Altogether, we identified PLGAs NPs as suitable and promising candidates for further targeting approaches aiming to reactivate the immune system of cancer patients.

immunology↗

bioRxiv2024

The diverse viromes of Australian lizards are shaped by host taxonomy and habitat

Lizards inhabit diverse ecologies and evolutionary histories and hence represent a promising group to explore how hosts shape virome structure and virus evolution. Yet little is known about the viromes of these animals. In Australia, squamates (lizards and snakes) comprise the most diverse order of vertebrates, and Australia hosts the highest diversity of lizards globally, with the greatest breadth of habitat use. We used meta-transcriptomic sequencing to determine the virome of nine co-distributed, tropical lizard species from three taxonomic families in Australia and analyzed these data to identify host traits associated with viral abundance and diversity. We show that lizards carry a large diversity of viruses, identifying more than 30 novel, highly divergent vertebrate-associated viruses. These viruses were from nine viral families, including several that contain well known pathogens, such as the Flaviviridae, Picornaviridae, Bornaviridae, Iridoviridae and Rhabdoviridae. Members of the Flaviviridae were particularly abundant across species sampled here, largely belonging to the genus Hepacivirus: 14 novel Hepaciviruses were identified, broadening the known diversity of this group and better defining its evolution by uncovering new reptilian clades. The evolutionary histories of the viruses studied here frequently aligned with the biogeographic and phylogenetic histories of the hosts, indicating that exogenous viruses may help infer host evolutionary history if sampling is strategic and sampling density high enough. Notably, analysis of alpha and beta diversity revealed that virome composition and richness was shaped by host taxonomy, habitat and range size. In sum, we identified a diverse range of reptile viruses that broadly contributes to our understanding of virus-host ecology and evolution.

microbiology↗

bioRxiv2021

A versatile active learning workflow for optimization of genetic and metabolic networks

The study, engineering and application of biological networks require practical and efficient approaches. Current optimization efforts of these systems are often limited by wet lab labor and cost, as well as the lack of convenient, easily adoptable computational tools. Aimed at democratization and standardization, we describe METIS, a modular and versatile active machine learning workflow with a simple online interface for the optimization of biological target functions with minimal experimental datasets. We demonstrate our workflow for various applications, from simple to complex gene circuits and metabolic networks, including several cell-free transcription and translation systems, a LacI-based multi-level controller and a 27-variable synthetic CO2-fixation cycle (CETCH cycle). Using METIS, we could improve above systems between one and two orders of magnitude compared to their original setup with minimal experimental efforts. For the CETCH cycle, we explored the combinatorial space of [~]1025 conditions with only 1,000 experiments to yield the most efficient CO2-fixation cascade described to date. Beyond optimization, our workflow also quantifies the relative importance of individual factors to the performance of a system. This allows to identify so far unknown interactions and bottlenecks in complex systems, which paves the way for their hypothesis-driven improvement, which we demonstrate for the LacI multi-level controller that we were able to improve by 34-fold after having identified resource competition as limiting factor. Overall, our workflow opens the way for convenient optimization and prototyping of genetic and metabolic networks with customizable adjustments according to user experience, experimental setup, and laboratory facilities.

synthetic biology↗

bioRxiv2020

Lateral and longitudinal fish eDNA distribution in dynamic riverine habitats

Assessing the status and distribution of fish populations in rivers is essential for management and conservation efforts in these dynamic habitats. Currently, methods detecting environmental DNA (eDNA) are being established as an alternative and/or complementary approach to the traditional monitoring of fish species. In lotic systems, a sound understanding of hydrological conditions and their influence on the local target detection probability and DNA quantity is key for the interpretation of eDNA-based results. However, the effect of seasonal and diurnal changes in discharge and the comparability of semi-quantitative results between species remain hardly addressed. We conducted a cage experiment with four fish species (three salmonid and one cyprinid species) in a glacier-fed, fish-free river in Tyrol (Austria) during summer, fall, and winter discharge situations (i.e. 25-fold increase from winter to summer). Each season, water samples were obtained on three consecutive days at 13 locations downstream of the cages including lateral sampling every 1-2 m across the wetted width. Fish eDNA was quantified by species-specific endpoint PCR followed by capillary electrophoresis. Close to the cages, lateral eDNA distribution was heterogenous and mirrored cage placement within the stream. In addition to the diluting effect of increased discharge, longitudinal signal changes within the first 20 m were weakest at high discharge. For downstream locations with laterally homogenous eDNA distribution, the signals decreased significantly with increasing distance and discharge. Generally, the eDNA of the larger-bodied salmonid species was less frequently detected, and signal strengths were lower compared to the cyprinid species. This study exemplifies the importance of hydrological conditions for the interpretation of eDNA-based data across seasons. To control for heterogenous eDNA distribution and enable comparisons over time, sampling schemes in lotic habitats need to incorporate hydrological conditions and species traits.

ecology↗

bioRxiv2020

A divergent Articulavirus in an Australian gecko identified using meta-transcriptomics and protein structure comparisons

The discovery of highly divergent RNA viruses is compromised by their limited sequence similarity to known viruses. Evolutionary information obtained from protein structural modelling offers a powerful approach to detect distantly related viruses based on the conservation of tertiary structures in key proteins such as the viral RNA-dependent RNA polymerase (RdRp). We utilised a template-based approach for protein structure prediction from amino acid sequences to identify distant evolutionary relationships among viruses detected in meta-transcriptomic sequencing data from Australian wildlife. The best predicted protein structural model was compared with the results of similarity searches against protein databases based on amino acid sequence data. Using this combination of meta-transcriptomics and protein structure prediction we identified the RdRp (PB1) gene segment of a divergent negative-sense RNA virus in a native Australian gecko (Geyra lauta) that was confirmed by PCR and Sanger sequencing. Phylogenetic analysis identified the Gecko articulavirus (GECV) as a newly described genus within the family Amnoonviridae, order Articulavirales, that is most closely related to the fish virus Tilapia tilapinevirus (TiLV). These findings provide important insights into the evolution of negative-sense RNA viruses and structural conservation of the viral replicase among members of the order Articulavirales.

microbiology↗

bioRxiv2020

Metagenomic identification of diverse animal hepaciviruses and pegiviruses

The RNA virus family Flaviviridae harbours several important pathogens of humans and other animals, including Zika virus, dengue virus and hepatitis C virus. The Flaviviridae are currently divided into four genera - Hepacivirus, Pegivirus, Pestivirus and Flavivirus - each of which have a diverse host range. Members of the genus Hepacivirus are associated with a diverse array of animal species, including humans and non-human primates, other mammalian species, as well as birds and fish, while the closely related pegiviruses have been identified in a variety of mammalian taxa including humans. Using a combination of meta-transcriptomic and whole genome sequencing we identified four novel hepaciviruses and one novel variant of a known virus, in five species of native Australian wildlife, expanding our knowledge of the diversity in this important group of RNA viruses. The infected hosts comprised native Australian marsupials and birds, as well as a native gecko (Gehyra lauta). The addition of these novel viruses led to the identification of a distinct marsupial clade within the hepacivirus phylogeny that also included an engorged Ixodes holocyclus tick collected while feeding on Australian long-nosed bandicoots (Perameles nasuta). Gecko and avian associated hepacivirus lineages were also identified. In addition, by mining the short-read archive (SRA) database we identified another five novel members of Flaviviridae, comprising three new hepaciviruses from avian and primate hosts, as well as two primate-associated pegiviruses. The large-scale phylogenetic analysis of these novel hepacivirus and pegivirus genomes provides additional support for virus-host co-divergence over evolutionary time-scales.

microbiology↗

bioRxiv2019

Genome of an iconic Australian bird: Chromosome-scale assembly and linkage map of the superb fairy-wren (Malurus cyaneus)

The superb fairy-wren, Malurus cyaneus, is one of the most iconic Australian passerine species. This species belongs to an endemic Australasian clade, Meliphagides, which diversified early in the evolution of the oscine passerines. Today, the oscine passerines comprise almost half of all avian species diversity. Despite the rapid increase of available bird genome assemblies, this part of the avian tree has not yet been represented by a high-quality reference. To rectify that, we present the first chromosome-scale genome assembly of a Meliphagides representative: the superb fairy-wren. We combined Illumina shotgun and mate-pair sequences, PacBio long-reads, and a genetic linkage map from an intensively sampled pedigree of a wild population to generate this genome assembly. Of the final assembled 1.07Gb genome, 894Mb (84.8%) was anchored onto 25 chromosomes resulting in a final scaffold N50 of 68.11 Mb. This high-quality bird genome assembly is also one of only a handful which is also accompanied by a genetic map and recombination landscape. In comparison to other pedigree-based bird genetic maps, we find that the zebrafinch (Taeniopygia) genetic map more closely resembles the fairy-wren map rather than the map from the more closely-related Ficedula flycatcher. Lastly, we also provide a predictive gene and repeat annotation of the genome assembly. This new high quality, annotated genome assembly will be an invaluable resource not only to the superb fairy-wren species and relatives but also broadly across the avian tree by providing a new reference point for comparative genomic analyses.

genomics↗

bioRxiv2017

Insights into platypus population structure and history from whole-genome sequencing

The platypus is an egg-laying mammal which, alongside the echidna, occupies a unique place in the mammalian phylogenetic tree. Despite widespread interest in its unusual biology, little is known about its population structure or recent evolutionary history. To provide new insights into the dispersal and demographic history of this iconic species, we sequenced the genomes of 57 platypuses from across the whole species range in eastern mainland Australia and Tasmania. Using a highly-improved reference genome, we called over 6.7M SNPs, providing an informative genetic data set for population analyses. Our results show very strong population structure in the platypus, with our sampling locations corresponding to discrete groupings between which there is no evidence for recent gene flow. Genome-wide data allowed us to establish that 28 of the 57 sampled individuals had at least a third-degree relative amongst other samples from the same river, often taken at different times. Taking advantage of a sampled family quartet, we estimated the de novo mutation rate in the platypus at 7.0x10-9/bp/generation (95% CI 4.1x10-9 - 1.2x10-8/bp/generation). We estimated effective population sizes of ancestral populations and haplotype sharing between current groupings, and found evidence for bottlenecks and long-term population decline in multiple regions, and early divergence between populations in different regions. This study demonstrates the power of whole-genome sequencing for studying natural populations of an evolutionarily important species.

genomics↗

bioRxiv2017

Current geography masks dynamic history of gene flow during speciation in northern Australian birds

During early stages of speciation, genome divergence is greatly influenced by gene flow. As populations diverge, geography can allow or restrict gene flow in the form of barriers. Current geography, e.g. whether sister species are allopatric or parapatric, is often used to predict the potential for gene flow during the divergence process. We test the validity of this assumption in eight meliphagoid bird species codistributed across four regions. These regions are separated by known biogeographic barriers within and between northern Australia and Papua New Guinea. We find that bird populations across the same barrier have a range of divergence levels and probability of gene flow regardless of range connectivity. Geographic distance and maximum range connectivity over time can better predict divergence and probability of gene flow than whether populations are currently allopatric or parapatric. We also find support for a nonlinear decrease of the probability of gene flow during the divergence process. This implies that although gene flow influences divergence early in speciation, other factors associated with higher divergence restrict gene flow later in speciation. Current geography may then mislead inferences regarding potential for gene flow during speciation under a complex and dynamic history of geographic and reproductive isolation.

evolutionary biology↗