Biology subjects

Zhang, Y. E.

Publications and source records attributed to Zhang, Y. E..

3 recordsLinked to original sources

bioRxiv2020

AlphaTracker: A Multi-Animal Tracking and Behavioral Analysis Tool

The advancement of behavioral analysis in neuroscience has been aided by the development of computational tools1,2. Specifically, computer vision algorithms have emerged as a powerful tool to elevate behavioral research3,4. Yet fully automatic analysis of social behavior remains challenging in two ways. First, existing tools to track and analyze behavior often focus on single animals, not multiple, interacting animals. Second, many available tools are not developed for novice users and require programming experience to run. Here, we unveil a computer vision pipeline called AlphaTracker, which requires minimal hardware requirements and produces reliable tracking of multiple unmarked animals. An easy-to-use user interface further enables manual inspection and curation of results. We demonstrate the practical, real-time advantages of AlphaTracker through the study of multiple, socially-interacting mice.

animal behavior and cognition↗

bioRxiv2020

New Genes in Drosophila Quickly Evolved Essential Functions in Viability During Development

It is a conventionally held dogma that the genetic basis underlying development is conserved in a long evolutionary time scale. Ample experiments based on mutational, biochemical, functional, and complementary knockdown/knockout approaches have revealed the unexpectedly important role of recently evolved new genes in the development of Drosophila. The recent progress in the analyses of gene effects and improvements in the computational identification of new genes, which has led to large sample sizes of new genes, open the door to investigate the evolution of gene essentiality with a phylogenetically high resolution. These advancements also raised interesting issues related to phenotypic effect analyses of genes, particularly of those that recently originated. Here we reported our analyses of these issues, including the dating of gene ages, the interpretation of RNAi data that may confuse false positive/false negative rates, and the potential confounding impact of compensation and developmental effects that were not considered during previous CRISPR knockout experiments. We further analyzed new data from knockdowns of 702 new genes (~66% of total 1,070 Drosophila melanogaster new genes), revealing a similarly high proportion of essential genes from recent evolution, compared to those found in distant ancestors of D. melanogaster. Knockout of a few young genes detected analogous essentiality. Furthermore, our experimentally determined distribution and comparison of knockdown efficiency in different RNAi libraries provided valuable data for general functional analyses of genes. Taken together, these data, along with an improved understanding of the phenotypic effect analyses of new genes, provide further evidence to the conclusion that new genes in Drosophila quickly evolved essential functions in viability during development.

developmental biology↗

bioRxiv2020

The mutational load in natural populations is significantly affected by high primary rates of retroposition

Gene retroposition is known to contribute to patterns of gene evolution and adaptations. However, possible negative effects of gene retroposition remain largely unexplored, since most previous studies have focussed on between-species comparisons where negatively selected copies are mostly not observed, as they are quickly lost from the populations. Here, we show for natural house mouse populations that the primary rate of retroposition is orders of magnitude higher than previously thought. Comparisons with SNP distribution patterns in the same populations show that most retroposition events are deleterious. Transcriptomic profiling analysis shows that new retroposed copies become easily subject to transcription and have an influence on the expression level of their parental genes, especially when transcribed in the antisense direction. Our results imply that the impact of retroposition on the mutational load in natural populations has been highly underestimated, which has also implications for strategies of disease allele detection in humans. Significance statementThe phenomenon or retroposition (re-integration of reverse transcribed RNA into the genome), has been well studied in comparisons between genomes and has been identified as a source of evolutionary innovation. However, the negative effects of retroposition have been overlooked so far. Our study makes use of a unique population genomic dataset from natural mouse populations. It shows that the retroposition rate is magnitudes higher than previously suspected. We show that most of the newly transposed retrocopies have a deleterious impact through modifying the expression of their parental genes. In humans, this effect is expected to cause disease alleles and we propose that genetic screening needs to take into account the search for newly transposed retrocopies.

genomics↗