In this study, we investigated the evolution of vertebrate tissues by examining the potential association among gene expression, duplication, and base substitution patterns. In particular, we compared whole-genome duplication (WGD) with small-scale duplication (SSD), as well as tissue restricted with ubiquitously expressed genes. All patterns were also analysed in the light of gene evolutionary rates. Among those genes characterized by rapid evolution and expressed in a restricted range of tissues, SSD was represented in a larger proportion than WGD. Conversely, genes with ubiquitous expression were associated with slower evolutionary rates and a larger proportion of WGD. The results also show that evolutionary rates were faster in genes expressed in endodermal tissues and slower in ectodermal genes. Accordingly, the proportion of the SSD and WGD genes was highest in the endoderm and ectoderm, respectively. Therefore, quickly evolving SSD genes might have contributed to the faster evolution of endodermal tissues, whereas the comparatively slowly evolving WGD genes might have functioned to maintain the basic characteristics of ectodermal tissues. Mesenchymal tissues occupied an intermediate position in this regard, whereas the patterns observed for haemocytes were unique. Rapid tissue evolution could be related to a specific gene duplication mode (SSD) and faster molecular evolution in response to exposure to the external environment. These findings reveal general patterns underlying the evolution of tissues and their corresponding genes.
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http://dx.doi.org/10.1093/dnares/dss012 | DOI Listing |
Front Immunol
January 2025
Laboratory of Genomic Medicine, Center of Experimental Research, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil.
Introduction: The COVID-19 pandemic had a widespread global impact and presented numerous challenges. The emergence of SARS-CoV-2 variants has changed transmission rates and immune evasion, possibly impacting the severity. This study aims to investigate the impact of variants on clinical outcomes in southern Brazil.
View Article and Find Full Text PDFInsect Biochem Mol Biol
December 2024
School of Life Sciences, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, 215123, China; Sericulture Institute of Soochow University, Suzhou, Jiangsu, 215123, China. Electronic address:
Insect parasitoids have evolved sophisticated strategies to evade or modulate host immunity for parasitic infections. The precise mechanisms by which parasitoids counteract host anti-parasitic responses are poorly defined. Here we report a novel immune evasion strategy employed by the parasitoid Exorista sorbillans (Diptera: Tachinidae) to establish infection.
View Article and Find Full Text PDFInt J Antimicrob Agents
December 2024
University of Amsterdam, Swammerdam Institute of Life Sciences, Molecular Biology and Microbial Food Safety, Amsterdam, The Netherlands. Electronic address:
Antibiotic resistance is a growing global healthcare challenge, treatment of bacterial infections with fluoroquinolones being no exception. These antibiotics can induce genetic instability through several mechanisms, one of the most significant being the activation of the SOS response. During exposure to sublethal concentration, this stress response increases mutation rates, accelerating resistance evolution.
View Article and Find Full Text PDFImeta
December 2024
Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education Inner Mongolia Agricultural University Hohhot China.
Proc Natl Acad Sci U S A
January 2025
Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109.
Life at all scales is surprisingly effective at exploiting new opportunities, as demonstrated by the rapid emergence of antimicrobial resistance and novel pathogens. How populations acquire this level of evolvability and the various ways it aids survival are major open questions with direct implications for human health. Here, we use digital evolution to show that changing environments facilitate the simultaneous evolution of high mutation rates and a distribution of mutational effects skewed toward beneficial phenotypes.
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