Biology subjects

Mazzoni, C. J.

Publications and source records attributed to Mazzoni, C. J..

8 recordsLinked to original sources

bioRxiv2025

Haplotype-resolved reference genomes of the sea turtle clade unveil ultra-syntenic genomes with hotspots of divergence

BackgroundReference genomes for the entire sea turtle clade have the potential to reveal the genetic basis of traits driving the ecological and phenotypic diversity in these ancient and iconic marine species. Furthermore, these genomic resources can support conservation efforts and deepen our understanding of their unique evolution. ResultsWe present haplotype-resolved, chromosome-level reference genomes and high-quality gene annotations for five sea turtle species. This completes the catalog of reference genomes of the entire sea turtle clade when combined with our previously published reference genomes. Our analysis reveals remarkable genome synteny and collinearity across all species, despite the clades origin dating back more than 60 million years. Regions of high interspecific genetic distance and intraspecific genetic diversity are consistently clustered in genomic hotspots, which are enriched with genes coding for immune response proteins, olfactory receptors, zinc fingers, and G-protein-coupled receptors. These hotspot regions may offer insights into the genetic mechanisms driving phenotypic divergence among species, and represent areas of significant adaptive potential. Ancient demographic analysis revealed a synchronous population expansion among sea turtle species during the Pleistocene, with varying magnitudes of demographic change, likely shaped by their diverse ecological adaptations, and biogeographic contexts. ConclusionsOur work provides genomic resources for exploring genetic diversity, evolutionary adaptations, and demographic histories of sea turtles. We outline genomic regions with increased diversity, linked to immune response, sensory evolution, and adaptation to varying environments that have historically been subject to strong diversifying selection, and likely will underpin sea turtles responses to future environmental change. These reference genomes can assist conservation by providing insights into the demographic and evolutionary processes that sustain and threaten these iconic species.

genomics↗

bioRxiv2025

Manual versus automatic annotation of transposable elements: case studies in Drosophila melanogaster and Aedes albopictus, balancing accuracy and biological relevance

Transposable elements (TEs) play a pivotal role in genome evolution, yet their detection and annotation remain challenging due to the limitations of current methods. Manual curation is considered the gold standard for generating TE libraries, particularly for TE focused studies, although it requires extensive training and time. With the rapid increase in genome assembly publications and the growing need for large-scale comparative analyses, automated software for TE annotation has become indispensable. This study compares manual and automated approaches to TE detection and annotation, focusing on two species: Drosophila melanogaster and Aedes albopictus. In D. melanogaster, a species with a well-annotated TE repertoire and a smaller genome, the differences between manual curation (MCTE) and automated annotation (ATTE) are relatively minor. However, significant differences arise when analysing Ae. albopictus, a species with a larger genome and higher TE diversity. While automated methods identified a greater number of TEs, including many smaller and fragmented elements, manual curation provided more detailed classifications and on average larger consensi. Automated pipelines offer a viable alternative for genome-wide analyses such as TE content estimate, particularly when time and resources are limited. However, caution is advised when interpreting results, as finer details of TE dynamics may be overlooked. This study highlights that the choice of annotation method depends on the intended analysis. Manual curation is more suitable for TE population genomics and studies focusing on recent transposable element activity, while automated methods are appropriate for larger comparative analyses or genome assembly projects. Ultimately, both methods have their strengths and limitations, and understanding the specific features of the genome and repeatome under study is essential for selecting the appropriate approach.

genomics↗

bioRxiv2023

The European Reference Genome Atlas: piloting a decentralised approach to equitable biodiversity genomics

A global genome database of all of Earths species diversity could be a treasure trove of scientific discoveries. However, regardless of the major advances in genome sequencing technologies, only a tiny fraction of species have genomic information available. To contribute to a more complete planetary genomic database, scientists and institutions across the world have united under the Earth BioGenome Project (EBP), which plans to sequence and assemble high-quality reference genomes for all [~]1.5 million recognized eukaryotic species through a stepwise phased approach. As the initiative transitions into Phase II, where 150,000 species are to be sequenced in just four years, worldwide participation in the project will be fundamental to success. As the European node of the EBP, the European Reference Genome Atlas (ERGA) seeks to implement a new decentralised, accessible, equitable and inclusive model for producing high-quality reference genomes, which will inform EBP as it scales. To embark on this mission, ERGA launched a Pilot Project to establish a network across Europe to develop and test the first infrastructure of its kind for the coordinated and distributed reference genome production on 98 European eukaryotic species from sample providers across 33 European countries. Here we outline the process and challenges faced during the development of a pilot infrastructure for the production of reference genome resources, and explore the effectiveness of this approach in terms of high-quality reference genome production, considering also equity and inclusion. The outcomes and lessons learned during this pilot provide a solid foundation for ERGA while offering key learnings to other transnational and national genomic resource projects.

genomics↗

bioRxiv2020

New genetic insights about hybridization and population structure of hawksbill and loggerhead turtles from Brazil

An extremely high incidence of hybridization among sea turtles is found along the Brazilian coast. To understand this atypical phenomenon and its impact on sea turtle conservation, research focused in the evolutionary history of sea turtles is fundamental. We assessed high quality multilocus haplotypes of 143 samples of the five species of sea turtles that occur along the Brazilian coast to investigate the hybridization process and the population structure of hawksbill (Eretmochelys imbricata) and loggerhead turtles (Caretta caretta). The multilocus data were initially used to characterize interspecific hybrids. Introgression (F2 hybrids) was only confirmed in hatchlings of F1 hybrid females (hawksbill x loggerhead), indicating that introgression was either previously overestimated and F2 hybrids may not survive to adulthood, or the first-generation hybrid females nesting in Brazil were born as recent as few decades ago. Phylogenetic analyses using nuclear markers recovered the mtDNA-based Indo-Pacific and Atlantic lineages for hawksbill turtles, demonstrating a deep genetic divergence dating from the early Pliocene. In addition, loggerhead turtles that share a common feeding area and belong to distinct Indo-Pacific and Atlantic mtDNA clades present no clear genetic differentiation at the nuclear level. Finally, our results indicate that hawksbill and loggerhead rookeries along the Brazilian coast are likely connected by male-mediated gene flow.

genetics↗

bioRxiv2020

Optimization of ddRAD-like data leads to high quality sets of reduced representation single copy orthologs (R2SCOs) in a sea turtle multi-species analysis.

Reduced representation libraries (RRS) allow large scale studies on non-model species to be performed without the need for a reference genome, by building a pseudo-reference locus catalog directly from the data. However, using closely-related high-quality genomes can help maximize nucleotide variation identified from RRS libraries. While chromosome-level genomes remain unavailable for most species, researchers can still invest in building high-quality and project-specific de novo locus catalogs. Among methods that use restriction enzymes (RADSeq), those including fragment size selection to help obtain the desired number of loci - such as double-digest RAD (ddRAD) - are highly flexible but can present important technical issues. Inconsistent size selection reproducibility across libraries and variable coverage across fragment lengths can affect genotyping confidence, number of identified single nucleotide polymorphisms (SNPs), and quality and completeness of the de novo reference catalog. We have developed a strategy to optimize locus catalog building from ddRAD-like data by sequencing overlapping reads that recreate original fragments and add information about coverage per fragment size. Further in silico size selection and digestion steps limit the filtered dataset to well-covered sets of loci and identity thresholds are estimated based on sequence pairwise comparisons. We have developed a full workflow that identifies a set of reduced-representation single-copy orthologs (R2SCOs) for any given species and that includes estimating and evaluating allelic variation in comparison with SNP calling results. We also show how to use our concept in an established RADSeq pipeline - Stacks - and confirm that our approach increases average coverage and number of SNPs called per locus in the final catalog. We have demonstrated our full workflow using newly generated data from five sea turtle species and provided further proof-of-principle using published hybrid sea turtle and primate datasets. Finally, we showed that a project-specific set of R2SCOs perform better than a draft genome as a reference.

evolutionary biology↗

bioRxiv2019

Manatee genomics supports a special conservation area in the Guianas coastline under the influence of the Amazon River plume

The West Indian manatee (Trichechus manatus) occurs along the Atlantic coastline and adjacent freshwater systems of South, Central and North America, from Alagoas (Brazil) to Florida (USA) and Greater Antilles. The Amazonian manatee (Trichechus inunguis) is the only Sirenian adapted exclusively to freshwater and endemic to the Amazon River basin. Previous studies have reported hybrids between T. inunguis and T. manatus close to the mouth of the Amazon River, composing a likely extensive hybrid zone along the Guianas coast of South America under the influence of the Amazon River plume. We have used ddRAD SNP data, and sequences of nuclear and mtDNA loci to characterize the genomic composition of manatees along the French Guiana coastline. We found this population to be formed by introgressed or later generation interspecific hybrids, and also describe the first T. inunguis found outside the Amazon River basin. Our results indicate that T. inunguis can survive in the Amazon River plume and have colonized independent water streams of the Guianas coastline where they likely hybridize with T. manatus. This hypothesis offers a plausible explanation for the known extension of the hybrid zone between the two species along the Guianas coastline. It also reinforces the importance of the Amazon plume, which flows westwards to the Guianas coastline and favors the dispersion of the freshwater species. This habitat functions as a large estuary-like system that provides an ecological continuum from Amazon River mouth to the disconnected waterflows of the Guianas, which deserves a status of special conservation area.

genomics↗

bioRxiv2019

Combining the 5.8S and ITS2 gene regions to improve classification of fungi

O_LIThe internal transcribed spacer (ITS) is used in DNA metabarcoding of fungi. One disadvantage of its high variability may be a failure to classify OTUs when no similar reference sequence exists. We tested whether the 5.8S region, often sequenced with ITS2 but discarded before analysis, could provide OUT classifications when ITS fails. C_LIO_LIWe used in silico evaluation to compare classification success of 5.8S and ITS from the UNITE database when reference sequences of the same species, genus, or family were removed. We then developed an automated pipeline for a combined 5.8S - ITS2 analysis and applied it to mixed environmental samples containing many lineages that are underrepresented in databases. C_LIO_LIITS was clearly superior for species-level classifications with a complete reference database, but 5.8S outperformed ITS at higher level classifications with an incomplete database. Our combined 5.8S-ITS2 pipeline classified 3x more fungal OTUs compared to ITS2 alone, particularly within Chytridiomycota (10x) and Rozellamycota (3x). C_LIO_LIMissing reference sequences led to the failure of ITS to classify many fungal OTUs at all, and to a significant underestimation of environmental fungal diversity. Using 5.8S to complement ITS classification will likely provide better estimates of diversity in lineages for which database coverage is poor. C_LI

ecology↗

bioRxiv2018

Long-read DNA metabarcoding of ribosomal rRNA in the analysis of fungi from aquatic environments

DNA metabarcoding is now widely used to study prokaryotic and eukaryotic microbial diversity. Technological constraints have limited most studies to marker lengths of ca. 300-600 bp. Longer sequencing reads of several 5 thousand bp are now possible with third-generation sequencing. The increased marker lengths provide greater taxonomic resolution and enable the use of phylogenetic methods of classifcation, but longer reads may be subject to higher rates of sequencing error and chimera formation. In addition, most well-established bioinformatics tools for DNA metabarcoding were originally 10 designed for short reads and are therefore not suitable. Here we used Pacifc Biosciences circular consensus sequencing (CCS) to DNA-metabarcode environmental samples using a ca. 4,500 bp marker that included most of the eukaryote ribosomal SSU and LSU rRNA genes and the ITS spacer region. We developed a long-read analysis pipeline that reduced error rates to levels 15 comparable to short-read platforms. Validation using fungal isolates and a mock community indicated that our pipeline detected 98% of chimeras de novo i.e., even in the absence of reference sequences. We recovered 947 OTUs from water and sediment samples in a natural lake, 848 of which could be classifed to phylum, 486 to family, 397 to genus and 330 to species. By 20 allowing for the simultaneous use of three global databases (Unite, SILVA, RDP LSU), long-read DNA metabarcoding provided better taxonomic resolution than any single marker. We foresee the use of long reads enabling the cross-validation of reference sequences and the synthesis of ribosomal rRNA gene databases. The universal nature of the rRNA operon and our recovery of >100 25 non-fungal OTUs indicate that long-read DNA metabarcoding holds promise for the study of eukaryotic diversity more broadly.

ecology↗