Identification of Retrocopies in Lepidoptera and Impact on Domestication of Silkworm.

Background: During the domestication of silkworm, an economic insect, its physiological characteristics have changed greatly. RNA-based gene duplication, known as retrocopy, plays an important role in the formation of new genes and genome evolution, but the retrocopies of lepidopteran insects have not been fully identified and analyzed, which not only severely limits researchers from exploring the effects of retrocopies on lepidopteran insects but also affects the studies on the domestication of silkworm.

Methods: We compared the genomes and proteomes of eight lepidopteran insects and used a series of screening criteria for auxiliary screening to obtain the retrocopies in lepidopteran insects and explored their characteristics.

A deep learning-based method enables the automatic and accurate assembly of chromosome-level genomes.

The application of high-throughput chromosome conformation capture (Hi-C) technology enables the construction of chromosome-level assemblies. However, the correction of errors and the anchoring of sequences to chromosomes in the assembly remain significant challenges. In this study, we developed a deep learning-based method, AutoHiC, to address the challenges in chromosome-level genome assembly by enhancing contiguity and accuracy.

LncRNAway: a web-based sgRNA design tool for precise and effective suppression of long noncoding RNAs.

Thousands of long noncoding RNAs (lncRNAs) have been annotated via high-throughput RNA sequencing, yet only a small fraction have been functionally investigated. Genomic knockout is the mainstream strategy for studying the biological function of protein-coding genes and lncRNAs, whereas the complexity of the lncRNA locus, especially the natural antisense lncRNAs (NAT-lncRNAs), presents great challenges. Knocking out lncRNAs often results in unintended disruptions of neighboring protein-coding genes and small RNAs, leading to ambiguity in observing phenotypes and interpreting biological function.

OrthoVenn3: an integrated platform for exploring and visualizing orthologous data across genomes.

Advancements in comparative genomics research have led to a growing interest in studying species evolution and genetic diversity. To facilitate this research, OrthoVenn3 has been developed as a powerful, web-based tool that enables users to efficiently identify and annotate orthologous clusters and infer phylogenetic relationships across a range of species. The latest upgrade of OrthoVenn includes several important new features, including enhanced orthologous cluster identification accuracy, improved visualization capabilities for numerous sets of data, and wrapped phylogenetic analysis.