protein divergence
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2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Raf Huttener ◽  
Lieven Thorrez ◽  
Thomas in‘t Veld ◽  
Barney Potter ◽  
Guy Baele ◽  
...  

Abstract Background Different types of proteins diverge at vastly different rates. Moreover, the same type of protein has been observed to evolve with different rates in different phylogenetic lineages. In the present study we measured the rates of protein evolution in Eutheria (placental mammals) and Metatheria (marsupials) on a genome-wide basis and we propose that the gene position in the genome landscape has an important influence on the rate of protein divergence. Results We analyzed a protein-encoding gene set (n = 15,727) common to 16 mammals (12 Eutheria and 4 Metatheria). Using sliding windows that averaged regional effects of protein divergence we constructed landscapes in which strong and lineage-specific regional effects were seen on the molecular clock rate of protein divergence. Within each lineage, the relatively high rates were preferentially found in subtelomeric chromosomal regions. Such regions were observed to contain important and well-studied loci for fetal growth, uterine function and the generation of diversity in the adaptive repertoire of immunoglobulins. Conclusions A genome landscape approach visualizes lineage-specific regional differences between Eutherian and Metatherian rates of protein evolution. This phenomenon of chromosomal position is a new element that explains at least part of the lineage-specific effects and differences between proteins on the molecular clock rates.


2021 ◽  
Author(s):  
Azzeldin Madkour ◽  
Bian Almessiry ◽  
Bertha González-Pedrajo ◽  
Brendan Kenny

Selection pressure drives rapid emergence of antibiotic resistance mechanisms promoting searches for therapeutic targets in bacterial processes needed for virulence, not viability, which include the Type Three Secretion System (T3SS). Distinct T3SS families evolved from the flagellar export apparatus where remaining homology hinders development of anti-T3SS specific therapies. Around 15 proteins that are highly-conserved within, but not between T3SS families yet such divergence is rarely leveraged, to promote understanding, due to unknown evolutionary histories. Here we document unprecedented divergence in two ‘LEE’ T3SS family members. Interchangeability studies uncover unusual LEE biology (eg 2-orf genes) and illustrate each T3SS protein can tolerate dramatic change. Functional defects (12 proteins) and novel phenotypes enabled studies that reveal i) pathotype-specific protein functionality, ii) T3SS crosstalk with other processes, and iii) potential therapeutic targets. The work provides resources and testable predictions for further discoveries and will promote comparable studies between distinct T3SS families.


2021 ◽  
Author(s):  
Azzeldin Madkour ◽  
Bian Almessiry ◽  
Bertha González-Pedrajo ◽  
Brendan Kenny
Keyword(s):  

2020 ◽  
Vol 29 (22) ◽  
pp. 4428-4441
Author(s):  
Martin D. Garlovsky ◽  
Caroline Evans ◽  
Mathew A. Rosenow ◽  
Timothy L. Karr ◽  
Rhonda R. Snook

2019 ◽  
Vol 5 (1) ◽  
pp. eaav1848 ◽  
Author(s):  
Xueying C. Li ◽  
David Peris ◽  
Chris Todd Hittinger ◽  
Elaine A. Sia ◽  
Justin C. Fay

Genetic analysis of phenotypic differences between species is typically limited to interfertile species. Here, we conducted a genome-wide noncomplementation screen to identify genes that contribute to a major difference in thermal growth profile between two reproductively isolated yeast species,Saccharomyces cerevisiaeandSaccharomyces uvarum. The screen identified only a single nuclear-encoded gene with a moderate effect on heat tolerance, but, in contrast, revealed a large effect of mitochondrial DNA (mitotype) on both heat and cold tolerance. Recombinant mitotypes indicate that multiple genes contribute to thermal divergence, and we show that protein divergence inCOX1affects both heat and cold tolerance. Our results point to the yeast mitochondrial genome as an evolutionary hotspot for thermal divergence.


2017 ◽  
Vol 13 (8) ◽  
pp. 20170314 ◽  
Author(s):  
Daniel B. Sloan

RNA editing can yield protein products that differ from those directly encoded by genomic DNA. This process is pervasive in the mitochondria of many eukaryotes, where it predominantly results in the restoration of ancestral protein sequences. Nuclear mRNAs in metazoans also undergo editing (adenosine-to-inosine or ‘A-to-I’ substitutions), and most of these edits appear to be nonadaptive ‘misfirings’ of adenosine deaminases. However, recent analysis of cephalopod transcriptomes found that many editing sites are shared by anciently divergent lineages within this group, suggesting they play some adaptive role. Recent discoveries have also revealed that some fungi have an independently evolved A-to-I editing mechanism, resulting in extensive recoding of their nuclear mRNAs. Here, phylogenetic comparisons were used to determine whether RNA editing generally restores ancestral protein sequences or creates derived variants. Unlike in mitochondrial systems, RNA editing in metazoan and fungal nuclear transcripts overwhelmingly leads to novel sequences not found in inferred ancestral proteins. Even for the subset of RNA editing sites shared by deeply divergent cephalopod lineages, the primary effect of nuclear editing is an increase—not a decrease—in protein divergence. These findings suggest fundamental differences in the forces responsible for the evolution of RNA editing in nuclear versus mitochondrial systems.


Development ◽  
2016 ◽  
Vol 143 (20) ◽  
pp. 3742-3750 ◽  
Author(s):  
Petra M. Tauscher ◽  
Jinghua Gui ◽  
Osamu Shimmi

2015 ◽  
Vol 112 (25) ◽  
pp. E3226-E3235 ◽  
Author(s):  
Premal Shah ◽  
David M. McCandlish ◽  
Joshua B. Plotkin

The phenotypic effect of an allele at one genetic site may depend on alleles at other sites, a phenomenon known as epistasis. Epistasis can profoundly influence the process of evolution in populations and shape the patterns of protein divergence across species. Whereas epistasis between adaptive substitutions has been studied extensively, relatively little is known about epistasis under purifying selection. Here we use computational models of thermodynamic stability in a ligand-binding protein to explore the structure of epistasis in simulations of protein sequence evolution. Even though the predicted effects on stability of random mutations are almost completely additive, the mutations that fix under purifying selection are enriched for epistasis. In particular, the mutations that fix are contingent on previous substitutions: Although nearly neutral at their time of fixation, these mutations would be deleterious in the absence of preceding substitutions. Conversely, substitutions under purifying selection are subsequently entrenched by epistasis with later substitutions: They become increasingly deleterious to revert over time. Our results imply that, even under purifying selection, protein sequence evolution is often contingent on history and so it cannot be predicted by the phenotypic effects of mutations assayed in the ancestral background.


PLoS ONE ◽  
2013 ◽  
Vol 8 (8) ◽  
pp. e72742 ◽  
Author(s):  
Jordi Morata ◽  
Santi Béjar ◽  
David Talavera ◽  
Casandra Riera ◽  
Sergio Lois ◽  
...  

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