Search for: All records

We sampled the respiratory mucus from voluntary blowhole exhalations (“blow”) of three healthy beluga whales (Delphinapterus leucas) under professional human care. Blow samples were collected from three resident belugas, one adult male (M1) and two adult females (F1, F2), with voluntary behaviors via non-invasive methods over three days in July 2021 (four days for M1). Samples were weighed and examined microscopically for the enumeration of eukaryotic and prokaryotic microbes, and then were used to evaluate carbon substrate use and taxonomic diversity of prokaryotic communities in the host respiratory sytem. Microscopical observations and 18S rRNA gene sequencing indicated the presence of eukaryotic microbiota, the ciliate generaPlanilaminaandKyaroikeusin all three individuals. Exposure of samples to different metabolic carbon substrates indicated significant differences in the number of carbon sources usable by the prokaryotic communities of different whales (range: 11-25 sources), as well as a signficantly decreased diversity of carbon sources used by the community in the habitat water (5 sources). Sequencing of the hypervariable V4 region of the 16S rRNA gene revealed 19 amplicon sequence variants (ASVs) that were present in all whale samples. The oldest femaleD. leucas(F2) had the lowest overall diversity, and was significantly different from M1 and F1 in taxon composition, including an anomalously low ratio of Baccillota: Bacteroidota (0.01) compared to the other whales. In comparisons of microbial community composition, M1 had a significantly higher diversity than F1 and F2. These results suggest that attention should be given to regular microbiome sampling, and indicate a need for the pairing of microbiome and clinical data for animals in aquaria. Overall, these data contribute to the growing database on the core respiratory microbiota in cohabiting cetaceans under professional human care, indicate the utility of non-invasive sampling, and help characterize a baseline for healthyD. leucas. 

Abstract The purpose of this study is to determine which taxonomic methods can elucidate clear and quantifiable differences between two cryptic ciliate species, and to test the utility of genome architecture as a new diagnostic character in the discrimination of otherwise indistinguishable taxa. Two cryptic tintinnid ciliates,Schmidingerella arcuataandSchmidingerella meunieri, are compared via traditional taxonomic characters including lorica morphometrics, ribosomal RNA (rRNA) gene barcodes and ecophysiological traits. In addition, single‐cell ‘omics analyses (single‐cell transcriptomics and genomics) are used to elucidate and compare patterns of micronuclear genome architecture between the congeners. The results include a highly similar lorica that is larger inS. meunieri, a 0%–0.5% difference in rRNA gene barcodes, two different and nine indistinguishable growth responses among 11 prey treatments, and distinct patterns of micronuclear genomic architecture for genes detected in both ciliates. Together, these results indicate that while minor differences exist betweenS. arcuataandS. meunieriin common indices of taxonomic identification (i.e., lorica morphology, DNA barcode sequences and ecophysiology), differences exist in their genomic architecture, which suggests potential genetic incompatibility. Different patterns of micronuclear architecture in genes shared by both isolates also enable the design of species‐specific primers, which are used in this study as unique “architectural barcodes” to demonstrate the co‐occurrence of both ciliates in samples collected from a NW Atlantic estuary. These results support the utility of genomic architecture as a tool in species delineation, especially in ciliates that are cryptic or otherwise difficult to differentiate using traditional methods of identification. 

Abstract Schmidingerella arcuata is an ecologically important tintinnid ciliate that has long served as a model species in plankton trophic ecology. We present a partial micronuclear genome and macronuclear transcriptome resource for S. arcuata, acquired using single-cell techniques, and we report on pilot analyses including functional annotation and genome architecture. Our analysis shows major fragmentation, elimination, and scrambling in the micronuclear genome of S. arcuata. This work introduces a new nonmodel genome resource for the study of ciliate ecology and genomic biology and provides a detailed functional counterpart to ecological research on S. arcuata.