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PIWI-interacting RNAs (piRNAs) form an adaptive small RNA system that regulates transposons and some host genes in animal gonads. In this forum, we discuss recent within-species comparisons across flies and mammals that reveal extensive variation in piRNA-producing loci, providing new insights into how piRNAs emerge, diversify, and adapt to new threats.
BACKGROUND: Small RNA sequencing analysis is challenging because RNA classes differ in biogenesis, sequence redundancy, genomic organization, and annotation reliability. Integrated workflows accommodating these constraints remain limited, particularly for fragment-level and cluster-level analysis. METHODS: We present a reproducible, containerized, class-aware workflow for small RNA sequencing analysis, using mouse sperm as a case study. The workflow combines standardized preprocessing with complementary annotation and quantification strategies for microRNAs (miRNAs), transfer RNA-derived small RNAs (tsRNAs), ribosomal RNA-derived small RNAs (rsRNAs), and PIWI-interacting RNA (piRNA)-enriched genomic clusters. Using sperm small RNA data from offspring of lipopolysaccharide (LPS)-exposed male mice, we compared integrated-reference mapping, multi-class annotation, fragment-level tsRNA profiling, and genome-based piRNA cluster analysis, with custom modules for locus-aware harmonization and condition-specific cluster analysis. RESULTS: Integrated-reference mapping aligned 88.17% of reads and retained 690 features after filtering. It identified 11 differentially expressed miRNAs between LPS and controls, while other classes showed limited signal. Fragment-level profiling improved tsRNA resolution. piRNA cluster analysis identified 958 control and 940 LPS clusters, with 18 control-specific and no LPS-specific clusters. CONCLUSION: This workflow supports transparent, reproducible, class-aware interpretation of small RNA sequencing data while emphasizing cautious interpretation of piRNA-enriched signals from total small RNA sequencing.
The complete sequence of the W chromosome, which carries feminization activity in the silkworm, is crucial for understanding the sex-determination system in Lepidoptera. However, extensive accumulation of transposons due to lack of recombination, the very rare protein-coding genes and almost no information about molecular markers has hindered full W sequencing. We report the first complete silkworm W sequence (T2T_W, 11683305 bp) obtained by combining sequencing-assembly technologies and newly developed error detection methods, evaluated with genetically mapped W-RAPD markers, W-mutants, and W-derived BAC clones. The T2T_W sequence showed that the W is composed of a massive 92% accumulation of transposons and repeat sequences, among which the main constituents are intact LTR/LINE retrotransposons indicating recent expansions. In addition to Fem clusters producing Fem piRNA (Feminizer-derived PIWI-interacting RNA), we found 26 protein-coding genes in the W sequence. These include four gene pairs encoding zinc-finger motifs designated z1:z20 and a gene encoding serine/arginine repetitive matrix protein 1-like (SRRM1-like). To identify candidate genes for female sex-determination and differentiation we also sequenced the shortest W (3.8 Mb) from a translocation mutant with feminizing activity, which harbored four conventional genes: a Fem cluster, a pair of z1:z20 isoforms, z20-S, and a SRRM1-like gene. Phylogenetic analysis revealed that z1:z20 originated from a copy of an autosomal zinc-finger gene pair, z2:z21, translocated onto the W around 2.43 Mya and subsequently amplified to yield 4 W-linked zinc-finger gene pairs. The complete W sequence revealed that large-scale deletions and amplifications played a significant role in W chromosome evolution.