scholarly journals Evolutionary rate coevolution between mitochondria and mitochondria-associated nuclear-encoded proteins in insects

2018 ◽  
Author(s):  
Zhichao Yan ◽  
Gongyin Ye ◽  
John H. Werren
Keyword(s):  
Mitochondrial Function ◽  
Evolutionary Biology ◽  
Evolutionary Rate ◽  
Strong Predictor ◽  
Nuclear Proteins ◽  
Sequence Evolution ◽  
Minichromosome Maintenance ◽  
Encoded Proteins ◽  
Associated Proteins ◽  
Protein Conservation

AbstractThe mitochondrion is a pivotal organelle for energy production, and includes components encoded by both the mitochondrial and nuclear genomes. How these two genomes coevolve is a long-standing question in evolutionary biology. Here we initially investigate the evolutionary rates of mitochondrial components (oxidative phosphorylation (OXPHOS) proteins and ribosomal RNAs) and nuclear-encoded proteins associated with mitochondria, across the major orders of holometabolous insects. There are significant evolutionary rate correlations (ERCs) between mitochondria and mitochondria-associated nuclear-encoded proteins, which is likely driven by different rates of mitochondrial sequence evolution and compensatory changes in the interacting nuclear-encoded proteins. The pattern holds after correction for phylogenetic relationships and considering protein conservation levels. Correlations are stronger for nuclear-encoded OXPHOS proteins in contact with mitochondrial-encoded OXPHOS proteins and nuclear-encoded mitochondrial ribosomal amino acids directly contacting the mitochondrial rRNA. Mitochondrial-associated proteins show apparent rate acceleration over evolutionary time, but we suspect this pattern to be due to artifacts (e.g. rate estimation or calibration bias). We find that ERC between mitochondrial and nuclear proteins is a strong predictor of nuclear proteins known to interact with mitochondria, and therefore ERCs can be used to predict new candidate nuclear proteins with mitochondrial function. Using this approach, we detect proteins with high ERCs but not with known mitochondrial function based on gene ontology (GO). Manual screening of the literature revealed potential mitochondrial function for some of these proteins in humans or yeast. Their holometabolous ERCs therefore indicate these proteins may have phylogenetically conserved mitochondrial function. Twenty three additional candidates warrant further study for mitochondrial function based on this approach, including ERC evidence that proteins in the minichromosome maintenance helicase (MCM) complex interact with mitochondria. We conclude that the ERC method shows promise for identifying new candidate proteins with mitochondrial function.

scholarly journals The missing expression level-evolutionary rate anticorrelation in viruses does not support protein function as a main constraint on sequence evolution

2021 ◽  
Author(s):  
Changshuo Wei ◽  
Yan-Ming Chen ◽  
Ying Chen ◽  
Wenfeng Qian
Keyword(s):  
Protein Function ◽  
Viral Protein ◽  
Evolutionary Biology ◽  
Evolutionary Rate ◽  
Purifying Selection ◽  
Endogenous Retroviruses ◽  
Expression Level ◽  
Sequence Evolution ◽  
Virus Species ◽  
Selective Constraints

Abstract One of the central goals in molecular evolutionary biology is to determine the sources of variation in the rate of sequence evolution among proteins. Gene expression level is widely accepted as the primary determinant of protein evolutionary rate, because it scales with the extent of selective constraints imposed on a protein, leading to the well-known negative correlation between expression level and protein evolutionary rate (the E-R anticorrelation). Selective constraints have been hypothesized to entail the maintenance of protein function, the avoidance of cytotoxicity caused by protein misfolding or nonspecific protein-protein interactions, or both. However, empirical tests evaluating the relative importance of these hypotheses remain scarce, likely due to the non-trivial difficulties in distinguishing the effect of a deleterious mutation on a protein’s function vs. its cytotoxicity. We realized that examining the sequence evolution of viral proteins could overcome this hurdle. It is because purifying selection against mutations in a viral protein that result in cytotoxicity per se is likely relaxed, while purifying selection against mutations that impair viral protein function persists. Multiple analyses of SARS-CoV-2 and nine other virus species revealed a complete absence of any E-R anticorrelation. As a control, the E-R anticorrelation does exist in human endogenous retroviruses where purifying selection against cytotoxicity is present. Taken together, these observations do not support the maintenance of protein function as the main constraint on protein sequence evolution in cellular organisms.

scholarly journals Evolutionary Trends in the Mitochondrial Genome of Archaeplastida: How Does the GC Bias Affect the Transition from Water to Land?

Plants ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 358
Author(s):  
Joan Pedrola-Monfort ◽  
David Lázaro-Gimeno ◽  
Carlos G. Boluda ◽  
Laia Pedrola ◽  
Alfonso Garmendia ◽  
...  
Keyword(s):  
Mitochondrial Genome ◽  
Evolutionary Biology ◽  
Repetitive Sequences ◽  
Gc Content ◽  
Nuclear Genome ◽  
Nuclear Ribosomal Dna ◽  
Sequence Evolution ◽  
Evolutionary Trends ◽  
Genome Length ◽  
Evolutionary Patterns

Among the most intriguing mysteries in the evolutionary biology of photosynthetic organisms are the genesis and consequences of the dramatic increase in the mitochondrial and nuclear genome sizes, together with the concomitant evolution of the three genetic compartments, particularly during the transition from water to land. To clarify the evolutionary trends in the mitochondrial genome of Archaeplastida, we analyzed the sequences from 37 complete genomes. Therefore, we utilized mitochondrial, plastidial and nuclear ribosomal DNA molecular markers on 100 species of Streptophyta for each subunit. Hierarchical models of sequence evolution were fitted to test the heterogeneity in the base composition. The best resulting phylogenies were used for reconstructing the ancestral Guanine-Cytosine (GC) content and equilibrium GC frequency (GC*) using non-homogeneous and non-stationary models fitted with a maximum likelihood approach. The mitochondrial genome length was strongly related to repetitive sequences across Archaeplastida evolution; however, the length seemed not to be linked to the other studied variables, as different lineages showed diverse evolutionary patterns. In contrast, Streptophyta exhibited a powerful positive relationship between the GC content, non-coding DNA, and repetitive sequences, while the evolution of Chlorophyta reflected a strong positive linear relationship between the genome length and the number of genes.

Extracellular vesicles secreted by brain tumor stem cells are rich in mitochondrial function-associated proteins

Mitochondrion ◽  
2015 ◽  
Vol 24 ◽  
pp. S35
Author(s):  
Jeroen de Vrij ◽  
Theo M. Luider ◽  
Marike L.D. Broekman ◽  
René de Coo
Keyword(s):  
Stem Cells ◽  
Brain Tumor ◽  
Extracellular Vesicles ◽  
Mitochondrial Function ◽  
Tumor Stem Cells ◽  
Associated Proteins ◽  
Brain Tumor Stem Cells

Strangers in strange lands: mitochondrial proteins found at extra-mitochondrial locations

2019 ◽  
Vol 476 (1) ◽  
pp. 25-37 ◽  
Author(s):  
David P. Scanlon ◽  
Michael W. Salter
Keyword(s):  
Mitochondrial Genome ◽  
Mitochondrial Function ◽  
Mitochondrial Proteins ◽  
Dual Citizenship ◽  
Mitochondrial Proteome ◽  
Encoded Proteins

Abstract The mitochondrial proteome is estimated to contain ∼1100 proteins, the vast majority of which are nuclear-encoded, with only 13 proteins encoded by the mitochondrial genome. The import of these nuclear-encoded proteins into mitochondria was widely believed to be unidirectional, but recent discoveries have revealed that many these ‘mitochondrial’ proteins are exported, and have extra-mitochondrial activities divergent from their mitochondrial function. Surprisingly, three of the exported proteins discovered thus far are mitochondrially encoded and have significantly different extra-mitochondrial roles than those performed within the mitochondrion. In this review, we will detail the wide variety of proteins once thought to only reside within mitochondria, but now known to ‘emigrate’ from mitochondria in order to attain ‘dual citizenship’, present both within mitochondria and elsewhere.

scholarly journals Accelerated Immunodeficiency-associated Vaccine-derived Poliovirus Serotype 3 Sequence Evolution Rate in an 11-week-old Boy With X-linked Agammaglobulinemia and Perinatal Human Immunodeficiency Virus Exposure

2019 ◽  
Vol 70 (1) ◽  
pp. 132-135 ◽  
Author(s):  
Sabelle Jallow ◽  
Jo M Wilmshurst ◽  
Wayne Howard ◽  
Julie Copelyn ◽  
Lerato Seakamela ◽  
...  
Keyword(s):  
Risk Factors ◽  
Human Immunodeficiency Virus ◽  
B Cell ◽  
Evolutionary Rate ◽  
Evolution Rate ◽  
Early Age ◽  
Sequence Evolution ◽  
Perinatal Exposure ◽  
Immunodeficiency Virus ◽  
Virus Exposure

Abstract Primary B-cell immunodeficiencies are risk factors for the generation of vaccine-derived polioviruses. We report immunodeficiency-associated vaccine-derived poliovirus serotype 3 in an 11-week-old boy with X-linked agammaglobulinemia. Unique characteristics of this case include early age of presentation, high viral evolutionary rate, and the child’s perinatal exposure to human immunodeficiency virus.

scholarly journals Mutational pressure drives differential genome conservation in two bacterial endosymbionts of sap feeding insects

2020 ◽  
Author(s):  
Gus Waneka ◽  
Yumary M. Vasquez ◽  
Gordon M. Bennett ◽  
Daniel B. Sloan
Keyword(s):  
De Novo ◽  
Evolutionary Rate ◽  
Direct Detection ◽  
Low Frequency ◽  
Rate Variation ◽  
Sequence Evolution ◽  
Single Nucleotide Variants ◽  
Genome Decay ◽  
Sap Feeding ◽  
Duplex Sequencing

ABSTRACTCompared to free-living bacteria, endosymbionts of sap-feeding insects have tiny and rapidly evolving genomes. Increased genetic drift, high mutation rates, and relaxed selection associated with host control of key cellular functions all likely contribute to genome decay. Phylogenetic comparisons have revealed massive variation in endosymbiont evolutionary rate, but such methods make it difficult to partition the effects of mutation vs. selection. For example, the ancestor of auchenorrhynchan insects contained two obligate endosymbionts, Sulcia and a betaproteobacterium (BetaSymb; called Nasuia in leafhoppers) that exhibit divergent rates of sequence evolution and different propensities for loss and replacement in the ensuing ∼300 Ma. Here, we use the auchenorrhynchan leafhopper Macrosteles sp. nr. severini, which retains both of the ancestral endosymbionts, to test the hypothesis that differences in evolutionary rate are driven by differential mutagenesis. We used a high-fidelity technique known as duplex sequencing to measure and compare low-frequency variants in each endosymbiont. Our direct detection of de novo mutations reveals that the rapidly evolving endosymbiont (Nasuia) has a much higher frequency of single-nucleotide variants than the more stable endosymbiont (Sulcia) and a mutation spectrum that is even more AT-biased than implied by the 83.1% AT content of its genome. We show that indels are common in both endosymbionts but differ substantially in length and distribution around repetitive regions. Our results suggest that differences in long-term rates of sequence evolution in Sulcia vs. BetaSymb, and perhaps the contrasting degrees of stability of their relationships with the host, are driven by differences in mutagenesis.SIGNIFICANCE STATEMENTTwo ancient endosymbionts in the same host lineage display stark differences in genome conservation over phylogenetic scales. We show the rapidly evolving endosymbiont has a higher frequency of mutations, as measured with duplex sequencing. Therefore, differential mutagenesis likely drives evolutionary rate variation in these endosymbionts.

scholarly journals Protein Structure, Models of Sequence Evolution, and Data Type Effects in Phylogenetic Analyses of Mitochondrial Data: A Case Study in Birds

Diversity ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 555
Author(s):  
Emily L. Gordon ◽  
Rebecca T. Kimball ◽  
Edward L. Braun
Keyword(s):  
Amino Acids ◽  
Protein Structure ◽  
Amino Acid ◽  
Bird Species ◽  
Data Type ◽  
Substitution Matrix ◽  
Sequence Evolution ◽  
Transmembrane Helices ◽  
Encoded Proteins ◽  
The Impact

Phylogenomic analyses have revolutionized the study of biodiversity, but they have revealed that estimated tree topologies can depend, at least in part, on the subset of the genome that is analyzed. For example, estimates of trees for avian orders differ if protein-coding or non-coding data are analyzed. The bird tree is a good study system because the historical signal for relationships among orders is very weak, which should permit subtle non-historical signals to be identified, while monophyly of orders is strongly corroborated, allowing identification of strong non-historical signals. Hydrophobic amino acids in mitochondrially-encoded proteins, which are expected to be found in transmembrane helices, have been hypothesized to be associated with non-historical signals. We tested this hypothesis by comparing the evolution of transmembrane helices and extramembrane segments of mitochondrial proteins from 420 bird species, sampled from most avian orders. We estimated amino acid exchangeabilities for both structural environments and assessed the performance of phylogenetic analysis using each data type. We compared those relative exchangeabilities with values calculated using a substitution matrix for transmembrane helices estimated using a variety of nuclear- and mitochondrially-encoded proteins, allowing us to compare the bird-specific mitochondrial models with a general model of transmembrane protein evolution. To complement our amino acid analyses, we examined the impact of protein structure on patterns of nucleotide evolution. Models of transmembrane and extramembrane sequence evolution for amino acids and nucleotides exhibited striking differences, but there was no evidence for strong topological data type effects. However, incorporating protein structure into analyses of mitochondrially-encoded proteins improved model fit. Thus, we believe that considering protein structure will improve analyses of mitogenomic data, both in birds and in other taxa.

scholarly journals Gene Duplication Accelerates the Pace of Protein Gain and Loss from Plant Organelles

2019 ◽  
Vol 37 (4) ◽  
pp. 969-981 ◽  
Author(s):  
Rona Costello ◽  
David M Emms ◽  
Steven Kelly
Keyword(s):  
Gene Duplication ◽  
Protein Targeting ◽  
Sequence Evolution ◽  
Ancestral State ◽  
Organelle Biogenesis ◽  
Molecular Sequence ◽  
Metabolic Functions ◽  
Encoded Proteins ◽  
Gain And Loss ◽  
And Function

Abstract Organelle biogenesis and function is dependent on the concerted action of both organellar-encoded (if present) and nuclear-encoded proteins. Differences between homologous organelles across the Plant Kingdom arise, in part, as a result of differences in the cohort of nuclear-encoded proteins that are targeted to them. However, neither the rate at which differences in protein targeting accumulate nor the evolutionary consequences of these changes are known. Using phylogenomic approaches coupled to ancestral state estimation, we show that the plant organellar proteome has diversified in proportion with molecular sequence evolution such that the proteomes of plant chloroplasts and mitochondria lose or gain on average 3.6 proteins per million years. We further demonstrate that changes in organellar protein targeting are associated with an increase in the rate of molecular sequence evolution and that such changes predominantly occur in genes with regulatory rather than metabolic functions. Finally, we show that gain and loss of protein target signals occurs at a higher rate following gene duplication, revealing that gene and genome duplication are a key facilitator of plant organelle evolution.

scholarly journals Causes and evolutionary consequences of primordial germ-cell specification mode in metazoans

2017 ◽  
Vol 114 (23) ◽  
pp. 5784-5791 ◽  
Author(s):  
Carrie A. Whittle ◽  
Cassandra G. Extavour
Keyword(s):  
Germ Cells ◽  
Gene Networks ◽  
Evolutionary Biology ◽  
Large Scale ◽  
Germ Plasm ◽  
Germ Line ◽  
Primordial Germ Cell ◽  
Sequence Evolution ◽  
Animal Evolution ◽  
Germ Cell Specification

In animals, primordial germ cells (PGCs) give rise to the germ lines, the cell lineages that produce sperm and eggs. PGCs form in embryogenesis, typically by one of two modes: a likely ancestral mode wherein germ cells are induced during embryogenesis by cell–cell signaling (induction) or a derived mechanism whereby germ cells are specified by using germ plasm—that is, maternally specified germ-line determinants (inheritance). The causes of the shift to germ plasm for PGC specification in some animal clades remain largely unknown, but its repeated convergent evolution raises the question of whether it may result from or confer an innate selective advantage. It has been hypothesized that the acquisition of germ plasm confers enhanced evolvability, resulting from the release of selective constraint on somatic gene networks in embryogenesis, thus leading to acceleration of an organism’s protein-sequence evolution, particularly for genes expressed at early developmental stages, and resulting in high speciation rates in germ plasm-containing lineages (denoted herein as the “PGC-specification hypothesis”). Although that hypothesis, if supported, could have major implications for animal evolution, our recent large-scale coding-sequence analyses from vertebrates and invertebrates provided important examples of genera that do not support the hypothesis of liberated constraint under germ plasm. Here, we consider reasons why germ plasm might be neither a direct target of selection nor causally linked to accelerated animal evolution. We explore alternate scenarios that could explain the repeated evolution of germ plasm and propose potential consequences of the inheritance and induction modes to animal evolutionary biology.

scholarly journals Transcription Factors in the Fungus Aspergillus nidulans: Markers of Genetic Innovation, Network Rewiring and Conflict between Genomics and Transcriptomics

2021 ◽  
Vol 7 (8) ◽  
pp. 600
Author(s):  
Oier Etxebeste
Keyword(s):  
Transcription Factors ◽  
Aspergillus Nidulans ◽  
Growth And Development ◽  
Regulatory Networks ◽  
Regulatory Sequences ◽  
Sequence Evolution ◽  
Genomic Annotation ◽  
Associated Proteins ◽  
Duplication Events ◽  
Gain Loss

Gene regulatory networks (GRNs) are shaped by the democratic/hierarchical relationships among transcription factors (TFs) and associated proteins, together with the cis-regulatory sequences (CRSs) bound by these TFs at target promoters. GRNs control all cellular processes, including metabolism, stress response, growth and development. Due to the ability to modify morphogenetic and developmental patterns, there is the consensus view that the reorganization of GRNs is a driving force of species evolution and differentiation. GRNs are rewired through events including the duplication of TF-coding genes, their divergent sequence evolution and the gain/loss/modification of CRSs. Fungi (mainly Saccharomycotina) have served as a reference kingdom for the study of GRN evolution. Here, I studied the genes predicted to encode TFs in the fungus Aspergillus nidulans (Pezizomycotina). The analysis of the expansion of different families of TFs suggests that the duplication of TFs impacts the species level, and that the expansion in Zn2Cys6 TFs is mainly due to dispersed duplication events. Comparison of genomic annotation and transcriptomic data suggest that a significant percentage of genes should be re-annotated, while many others remain silent. Finally, a new regulator of growth and development is identified and characterized. Overall, this study establishes a novel theoretical framework in synthetic biology, as the overexpression of silent TF forms would provide additional tools to assess how GRNs are rewired.

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