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Biology subjects

Yoles, M.

Publications and source records attributed to Yoles, M..

2 recordsLinked to original sources

Evolution of a genome-architecture-encoded gene regulation system in trypanosomatids

Transcriptional regulation of protein-coding genes is a hallmark of eukaryotic gene expression. Yet, a group of parasitic protists, trypanosomatids, appear to lack this capability. Here, we analyzed genomic, nascent transcriptomic, RNA polymerase occupancy and gene organization data to reconstruct the evolutionary origin and biological consequences of their unusual regulatory strategy. Across 59 Discoba protists, we show stepwise evolutionary erosion of conventional transcription regulation components in trypanosomatida lineage, including gene consolidation into polycistronic transcription units (PTUs), shortening of intra-PTU non-coding regions, and depletion of transcription factors and their enriched DNA-binding motifs. This transition was associated with near-constitutive expression of most genes, indicating broad loss of conditional gene expression. However, trypanosomatids retain some differential regulation at the PTU level, with >70% PTUs featuring significantly different nascent transcription than their neighbors or resident chromosomes. Moreover, gene expression is not uniform within PTUs: nascent transcription, translation efficiency, and protein abundance progressively decline with distance from the transcription start site. Consistent with this architecture-encoded regulatory logic, co-complex subunits and co-pathway enzymes preferentially occupy adjacent positions within PTUs despite each PTUs overall functional heterogeneity. These findings reveal an evolutionary shift from gene-specific transcriptional regulation toward a regime where genome architecture becomes a regulator of gene expression.

evolutionary biology↗

An information content principle explains regulatory patterns of gene expression across human tissues

Gene expression patterns range from broadly expressed housekeeping genes to highly tissue-specific ones. Notably, many genes exhibit intermediate specificity, characterized by elevated expression in some tissues while low or absent in others. Understanding how regulatory demands scale with tissue specificity offers a valuable opportunity to uncover fundamental principles of genome regulation. By analyzing cis-regulatory element (CRE) counts across human genes with varying tissue specificity, we observed a nonlinear pattern: genes with intermediate specificity harbor the highest CRE count, suggesting distinct regulatory strategies across the expression spectrum. Motivated by this observation, we used the Minimum Description Length (MDL) principle from information theory, together with a maximum parsimony approach from phylogenetics, to quantify regulatory demands across tissues. Our analysis revealed that MDL-based regulatory demand scales consistently with diverse regulatory features, including CRE count, transcription-factor and microRNA targeting, and gene structure. To test whether this scaling changes across the expression spectrum, we partitioned genes by expression breadth. Two patterns emerged: features scaling with MDL in selectively expressed genes tend to act as on/off switches, whereas those in ubiquitous genes serve as fine-tuning knobs. Evolutionary analysis revealed that these regulatory patterns vary with gene age, with alignment between MDL and CRE counts peaking in intermediate-aged genes. Collectively, these results establish MDL combined with maximum parsimony as a powerful framework linking regulatory architecture, expression specificity, and evolutionary age, offering novel insights into the organizational principles underlying genome regulation.

genomics↗