Search bioRxiv⌕ Search

Biology subjects

Turissini, D. A.

Publications and source records attributed to Turissini, D. A..

6 recordsLinked to original sources

An ancient gene duplication is implicated in virulence in the human pathogen, Histoplasma

Histoplasma spp. is a dimorphic fungal primary pathogen that infects people worldwide and frequently affects immunosuppressed patients. Previous studies have identified the AMY1 gene product, the -amylase Amy1p, as essential for -glucan production and virulence in Histoplasma capsulatum. We identified two new genes (AMY2 and AMY3) in the Histoplasma genome that encode putative -amylases and made mutants using CRISPR/Cas9 technology, followed by evaluation of their role in -glucan biosynthesis and virulence. We also searched for AMY gene copies in 19 fungal genomes with the goals of identifying orthologs for AMY2 and AMY3, and establishing how many AMY copies existed across different fungi. We found that the number and type of -amylases vary depending on the fungal species; that all -amylases related to Histoplasma Amy1p belong to the GH13_5 subfamily, and all orthologs related to Histoplasmas Amy2p and Amy3p belong to the GH13_1 subfamily. We performed phylogenetic analyses of the three paralogs and revealed that the Histoplasma AMY duplications are ancient. We further established Amy2 is an ortholog of Aspergillus niger AgtA, and Aspergillus nidulans AmyD, and that it is partially involved in Histoplasma -glucan biosynthesis and virulence, while Amy3p is an ortholog of Aspergillus flavus Amy1, and it is dispensable for -glucan biosynthesis and virulence.

microbiology↗

Telomeric assemblies of Paracoccidioides genomes

Paracoccidioides is a genus of dimorphic fungal pathogens endemic to Latin America. We generated long-read de novo assemblies for 11 isolates representing four species of the brasiliensis complex (P. brasiliensis, P. americana, P. restrepiensis, P. venezuelensis) and P. lutzii. These include the first complete telomere-to-telomere assemblies for P. brasiliensis (Pb18) and P. americana (Pb03), each with five chromosomes. Comparative analyses revealed chromosomal fusion and fission events distinguishing P. brasiliensis and P. americana, and a 90 kb tandem duplication in P. americana containing siderophore biosynthesis genes (sid1, sid3, sid4), a cluster of putative virulence factors. Mitochondrial genomes showed conserved gene order but a phylogenetic topology inconsistent with the nuclear tree, suggesting mitochondrial introgression between P. lutzii and P. venezuelensis. RNA transposable elements were enriched near telomeres, correlated with genome size, and most abundant in P. lutzii. These assemblies provide key resources for understanding genome evolution and introgression in Paracoccidioides. SIGNIFICANCESpecies of Paracoccidioides cause paracoccidioidomycosis, a systemic mycosis that remains a major public health problem in Latin America. Despite their clinical importance, genome evolution across the genus is poorly understood owing to the lack of complete reference assemblies. Here, we present the first telomere-to-telomere reference genomes for P. brasiliensis and P. americana, enabling a comprehensive comparison of chromosomal structure across the genus. Our analyses reveal that the nuclear genome is highly dynamic and shaped by large-scale rearrangements and structural variants, including the duplication of a siderophore biosynthesis-related gene cluster linked to virulence. In contrast, the mitochondrial genome is structurally conserved but shows introgression between species, revealing hidden evolutionary exchange. Together, these genomic resources redefine our understanding of Paracoccidioides evolution and provide a foundation for advances in molecular diagnostics, epidemiological surveillance, and studies of fungal pathogenicity.

microbiology↗

Ancestry Inference Using Reference Labeled Clusters of Haplotypes

We present ARCHes, a fast and accurate haplotype-based approach for inferring an individuals ancestry composition. Our approach works by modeling haplotype diversity from a large, admixed cohort of hundreds of thousands, then annotating those models with population information from reference panels of known ancestry. The running time of ARCHes does not depend on the size of a reference panel because training and testing are separate processes, and the inferred population-annotated haplotype models can be written to disk and reused to label large test sets in parallel (in our experiments, it averages less than one minute to assign ancestry from 32 populations to 1,001 sections of a genotype using 10 CPU). We test ARCHes on public data from the 1,000 Genomes Project and HGDP as well as simulated examples of known admixture. Our results demonstrate that ARCHes outperforms RFMix at correctly assigning both global and local ancestry at finer population scales regardless of the amount of population admixture. Author SummaryHuman DNA is inherited from ancestors that come from different populations across the globe and across time. Being able to identify which of those populations make up an individuals DNA, how much they contribute, and on which chromosomes, is currently an important open research problem with many applications in the study of human diversity and history. As DNA sequencing and genotyping technology has developed, we have greater and greater amounts of data, which allows for the development of new sophisticated machine learning methods to approach this problem, and presents a need to process large amounts of data efficiently. These methods learn from examples of DNA data from known populations, and must be robust to differences in size and diversity among those reference populations. We present a new approach to this problem called ARCHes (Ancestry inference using Reference labeled Clusters of Haplotypes), that models the global diversity of small segments of human DNA sequence ("haplotypes"), and the extent to which these haplotypes are associated with each of a set of population reference panels. It then computes the most likely population assignments and the points along the genome where the populations change. Our experiments show that ARCHes has superior accuracy compared to a state-of-the-art method in identifying source populations and their locations on the genome, regardless of the number of different populations present in the genome, how closely related those populations are. ARCHes is also able to model populations despite having a small amount of population reference DNA data.

genomics↗

Fine scale mapping of genomic introgressions within the Drosophila yakuba clade

The process of speciation involves populations diverging over time until they are genetically and reproductively isolated. Hybridization between nascent species was long thought to directly oppose speciation. However, the amount of interspecific genetic exchange (introgression) mediated by hybridization remains largely unknown, although recent progress in genome sequencing has made measuring introgression more tractable. A natural place to look for individuals with admixed ancestry (indicative of introgression) is in regions where species co-occur. In west Africa, D. santomea and D. yakuba hybridize on the island of Sao Tome, while D. yakuba and D. teissieri hybridize on the nearby island of Bioko. In this report, we quantify the genomic extent of introgression between the three species of the Drosophila yakuba clade (D. yakuba, D. santomea), D. teissieri). We sequenced the genomes of 86 individuals from all three species. We also developed and applied a new statistical framework, using a hidden Markov approach, to identify introgression. We found that introgression has occurred between both species pairs but most introgressed segments are small (on the order of a few kilobases). After ruling out the retention of ancestral polymorphism as an explanation for these similar regions, we find that the sizes of introgressed haplotypes indicate that genetic exchange is not recent (>1,000 generations ago). We additionally show that in both cases, introgression was rarer on X chromosomes than on autosomes which is consistent with sex chromosomes playing a large role in reproductive isolation. Even though the two species pairs have stable contemporary hybrid zones, providing the opportunity for ongoing gene flow, our results indicate that genetic exchange between these species is currently rare.\n\nAUTHOR SUMMARYEven though hybridization is thought to be pervasive among animal species, the frequency of introgression, the transfer of genetic material between species, remains largely unknown. In this report we quantify the magnitude and genomic distribution of introgression among three species of Drosophila that encompass the two known stable hybrid zones in this genetic model genus. We obtained whole genome sequences for individuals of the three species across their geographic range (including their hybrid zones) and developed a hidden Markov model-based method to identify patterns of genomic introgression between species. We found that nuclear introgression is rare between both species pairs, suggesting hybrids in nature rarely successfully backcross with parental species. Nevertheless, some D. santomea alleles introgressed into D. yakuba have spread from Sao Tome to other islands in the Gulf of Guinea where D. santomea is not found. Our results indicate that in spite of contemporary hybridization between species that produces fertile hybrids, the rates of gene exchange between species are low.

evolutionary biology↗

The Rate Of Evolution Of Postmating-Prezygotic Reproductive Isolation In Drosophila

Reproductive isolation (RI) is an intrinsic aspect of species, as described in the Biological Species Concept. For that reason, the identification of the precise traits and mechanisms of RI, and the rates at which they evolve, is crucial to understanding how species originate and persist. Nonetheless, precise measurements of the magnitude of reproductive isolation are rare. Previous work has measured the rates of evolution of prezygotic and postzygotic barriers to gene flow, yet no systematic analysis has carried out the study of the rates of evolution of postmating-prezygotic (PMPZ) barriers. We systematically measured the magnitude of two barriers to gene flow that act after mating occurs but before zygotic fertilization and also measured a premating (female mating rate in nonchoice experiments) and two postzygotic barriers (hybrid inviability and hybrid sterility) for all pairwise crosses of species within the Drosophila melanogaster subgroup. Our results indicate that PMPZ isolation evolves faster than hybrid inviability but slower than premating isolation. We also describe seven new interspecific hybrids in the group. Our findings open up a large repertoire of tools that will enable researchers to manipulate hybrids and explore the genetic basis of interspecific differentiation, reproductive isolation, and speciation.

evolutionary biology↗

Ecological speciation within the Phytophthora group

Over the past few years, symptoms akin to late blight disease have been reported on a variety of crop plants in South America. Despite the economic importance of these crops, the causal agents of the diseases belonging to the genus Phytophthora have not been completely characterized. In this study, we used an integrative approach that leveraged morphological, ecological, and genetic approaches to explore cryptic speciation within P. infestans sensu lato. We described a new Phytophthora species collected in Colombia from tree tomato (Solanum betaceum), a semi-domesticated fruit. All morphological traits and population genetic analyses, using microsatellite data and a reduced representation of single nucleotide polymorphism (SNP) data, support the description of the new species, Phytophthora betacei sp. nov. We have demonstrated that ecological differences are important in the persistence of P. infestans and P. betacei as genetically isolated units across an overlapping area in the northern Andes.

evolutionary biology↗