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Gatt, C. R.

Publications and source records attributed to Gatt, C. R..

2 recordsLinked to original sources

Social caste switching triggers emergence of novel cellular identities in Zootermopsis termites

A hallmark of eusocial insects is the specialisation of individuals into castes that share the same genome but present distinct phenotypes. Caste switching can affect gene expression1,2, but can it give rise to entirely new cell types? Here, we generated single-cell transcriptomic atlases of a king, a queen, a soldier, and six workers of the termite Zootermopsis nevadensis to understand whether caste differentiation is accompanied by the emergence of novel cellular identities. Out of 24 annotated termite cell types, 18 of which mirrored homologous Drosophila cell types, one was unique for king, one was almost entirely restricted to the queen, and none were exclusive to nonreproductives. Instead, nonreproductive termites possessed more muscle and neuronal cells and less fat cells than reproductives. Caste-linked transcriptional signatures were detected in most cell types, including rare genes expressed with dual specificity for both cell type and caste. Despite the emergence of new cell types in reproductives, expression of hormones, immune genes, carbohydrate-active enzymes3, and rapidly adapting genes4 were only weakly altered by caste. These findings show that cellular differentiation can be induced anew in adult organisms without dysregulating their key physiologic pathways.

evolutionary biology↗

Integrating microscopy and transcriptomics from individual uncultured eukaryotic plankton

Eukaryotic plankton comprises organisms as diverse as diatoms and pelagic larvae, covering a wide spectrum of shapes, molecular compositions, and ecological functions. Plankton research is often approached using either optical methods, especially for taxonomic purposes, or genomics, which excels at describing the biochemistry of microbial communities. This technological dichotomy hampers efforts to link the morpho-optical properties of each species with its genetic and biomolecular makeup, leading to fragmented information and limited reproducibility. Methods to simultaneously acquire multimodal, i.e. optical and genetic, information on planktonic organisms would provide a connection between organismal appearance and function, improve taxonomic prediction, and strengthen ecological analysis. Here we present Ukiyo-e-Seq, an approach to generate paired optical and transcriptomic data from individual eukaryotic plankton. We performed Ukiyo-e-Seq on 66 microscopic organisms from Coogee, NSW, Australia and assembled transcriptomic contigs using a merge-split strategy. While overall phylogenetic heterogeneity spanned hundreds of taxa, diversity in individual wells was low, enabling accurate classification of both microbial plankton and marine larvae. We then combined Ukiyo-e-Seq with AlphaFold 3, a protein language model, and could confidently infer (i) the joint structure and interactions of 34 photosynthesis proteins from a single Chaetoceros diatom, and (ii) the cellular and developmental functions of novel proteins highly expressed in one trout larva. In summary, Ukiyo-e-Seq is a precise tool to connect morphological and genetic information of eukaryotic plankton.

microbiology↗