Trends in Genetics最新文献

Recent advances in computational prediction and experimental techniques have detected previously unknown microproteins, particularly in the human microbiome. These small proteins, produced by diverse microbial species, are emerging as promising candidates for new antibiotics.

Despite the ecological importance of the feather cover during early avian life, the events controlling the transition from natal down to juvenile feathers are poorly understood. Chen et al. demonstrate that this transition is characterized by a series of morphological and molecular changes strikingly conserved between precocial and altricial species.

Large language models (LLMs) are having transformative impacts across a wide range of scientific fields, particularly in the biomedical sciences. Just as the goal of natural language processing is to understand sequences of words, a major objective in biology is to understand biological sequences. Genomic language models (gLMs), which are LLMs trained on DNA sequences, have the potential to significantly advance our understanding of genomes and how DNA elements at various scales interact to give rise to complex functions. To showcase this potential, we highlight key applications of gLMs, including functional constraint prediction, sequence design, and transfer learning. Despite notable recent progress, however, developing effective and efficient gLMs presents numerous challenges, especially for species with large, complex genomes. Here, we discuss major considerations for developing and evaluating gLMs.

Genome-wide translational profiling has uncovered the synthesis in human cells of thousands of microproteins, a class of proteins traditionally overlooked in functional studies. Although an increasing number of these microproteins have been found to play critical roles in cellular processes, the functional relevance of the majority remains poorly understood. Studying these low-abundance, often unstable proteins is further complicated by the challenge of disentangling their functions from the noncoding roles of the associated DNA, RNA, and the act of translation. This review highlights recent advances in functional genomics that have led to the discovery of >1000 human microproteins required for optimal cell proliferation. Ongoing technological innovations will continue to clarify the roles and mechanisms of microproteins in both normal physiology and disease, potentially opening new avenues for therapeutic exploration.

The onset and progression of dominant diseases are thought to result from haploinsufficiency or dominant negative effects. Here, we propose transcriptional adaptation (TA), a newly identified response to mRNA decay, as an additional cause of some dominant diseases. TA modulates the expression of so-called adapting genes, likely via mRNA decay products, resulting in genetic compensation or a worsening of the phenotype. Recent studies have challenged the current concepts of haploinsufficiency or poison proteins as the mechanisms underlying certain dominant diseases, including Brugada syndrome, hypertrophic cardiomyopathy, and frontotemporal lobar degeneration. We hypothesize that for these and other dominant diseases, when the underlying mutation leads to mRNA decay, the phenotype is due at least partly to the dysregulation of gene expression via TA.

Adaptation to environmental conditions occurs over diverse evolutionary timescales. In multi-cellular organisms, adaptive traits are often studied in tissues/organs relevant to the environmental challenge. We argue for the importance of an underappreciated layer of evolutionary adaptation manifesting at the cellular level. Cell-autonomous adaptations (CAAs) are inherited traits that boost organismal fitness by enhancing individual cell function. For instance, the cell-autonomous enhancement of mitochondrial oxygen utilization in hypoxic environments differs from an optimized erythropoiesis response, which involves multiple tissues. We explore the breadth of CAAs across challenges and highlight their counterparts in unicellular organisms. Applying these insights, we mine selection signals in Andean highlanders, revealing novel candidate CAAs. The conservation of CAAs across species may reveal valuable insights into multi-cellular evolution.

Introgression with archaic hominins and subsequent natural selection has shaped the immune system of modern humans. Recently, Sun et al. investigated the immunity advantages of a Neanderthalic variant in the membrane-bound immunoglobulin G1 (IGHG1) gene, activating pathogen-specific antibody production toward modern threats yet conversely increasing the risk of autoimmune diseases.

Polycomb repressive complex 1 (PRC1) is an essential repressor of lineage-specific genes central to the establishment and preservation of cellular identity. Recent findings by Szczurek et al. show that the noncanonical form of PRC1 (ncPRC1), which mediates H2AK119ub1, promotes a deep OFF state at promoters by blocking transcription initiation.

This review addresses the significant challenge of identifying causal genetic variants within quantitative trait loci (QTLs) for complex traits and diseases. Despite progress in detecting the ever-larger number of such loci, establishing causality remains daunting. We advocate for integrating bioinformatics and multiomics analyses to streamline the prioritization of candidate genes' variants. Our case study on the Pla2g4e gene, identified previously as a positional candidate obesity gene through genetic mapping and expression studies, demonstrates how applying multiomic data filtered through regulatory elements containing SNPs can refine the search for causative variants. This approach can yield results that guide more efficient experimental strategies, accelerating genetic research toward functional validation and therapeutic development.

In a recent article in Nature Cell Biology, Eroglu et al. link heritable, environment-induced epigenetic germline feminization to the accumulation, transmission, and replication of amyloid particles in Caenorhabditis elegans.