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1.
Crit Rev Biochem Mol Biol ; 56(5): 510-525, 2021 10.
Artículo en Inglés | MEDLINE | ID: mdl-34120542

RESUMEN

Heteroplasmy refers to the coexistence of more than one variant of the mitochondrial genome (mtDNA). Mutated or partially deleted mtDNAs can induce chronic metabolic impairment and cause mitochondrial diseases when their heteroplasmy levels exceed a critical threshold. These mutant mtDNAs can be maternally inherited or can arise de novo. Compelling evidence has emerged showing that mutant mtDNA levels can vary and change in a nonrandom fashion across generations and amongst tissues of an individual. However, our lack of understanding of the basic cellular and molecular mechanisms of mtDNA heteroplasmy dynamics has made it difficult to predict who will inherit or develop mtDNA-associated diseases. More recently, with the advances in technology and the establishment of tractable model systems, insights into the mechanisms underlying the selection forces that modulate heteroplasmy dynamics are beginning to emerge. In this review, we summarize evidence from different organisms, showing that mutant mtDNA can experience both positive and negative selection. We also review the recently identified mechanisms that modulate heteroplasmy dynamics. Taken together, this is an opportune time to survey the literature and to identify key cellular pathways that can be targeted to develop therapies for diseases caused by heteroplasmic mtDNA mutations.


Asunto(s)
ADN Mitocondrial , Heteroplasmia , ADN Mitocondrial/genética , Mitocondrias/genética
2.
Am Nat ; 202(4): 534-557, 2023 10.
Artículo en Inglés | MEDLINE | ID: mdl-37792926

RESUMEN

AbstractThe joint distribution of selection coefficients and mutation rates is a key determinant of the genetic architecture of molecular adaptation. Three different distributions are of immediate interest: (1) the "nominal" distribution of possible changes, prior to mutation or selection; (2) the "de novo" distribution of realized mutations; and (3) the "fixed" distribution of selectively established mutations. Here, we formally characterize the relationships between these joint distributions under the strong-selection/weak-mutation (SSWM) regime. The de novo distribution is enriched relative to the nominal distribution for the highest rate mutations, and the fixed distribution is further enriched for the most highly beneficial mutations. Whereas mutation rates and selection coefficients are often assumed to be uncorrelated, we show that even with no correlation in the nominal distribution, the resulting de novo and fixed distributions can have correlations with any combination of signs. Nonetheless, we suggest that natural systems with a finite number of beneficial mutations will frequently have the kind of nominal distribution that induces negative correlations in the fixed distribution. We apply our mathematical framework, along with population simulations, to explore joint distributions of selection coefficients and mutation rates from deep mutational scanning and cancer informatics. Finally, we consider the evolutionary implications of these joint distributions together with two additional joint distributions relevant to parallelism and the rate of adaptation.


Asunto(s)
Tasa de Mutación , Selección Genética , Modelos Genéticos , Mutación , Evolución Biológica , Evolución Molecular
3.
Proc Natl Acad Sci U S A ; 112(37): 11547-52, 2015 Sep 15.
Artículo en Inglés | MEDLINE | ID: mdl-26240321

RESUMEN

Orthosomycins are oligosaccharide antibiotics that include avilamycin, everninomicin, and hygromycin B and are hallmarked by a rigidifying interglycosidic spirocyclic ortho-δ-lactone (orthoester) linkage between at least one pair of carbohydrates. A subset of orthosomycins additionally contain a carbohydrate capped by a methylenedioxy bridge. The orthoester linkage is necessary for antibiotic activity but rarely observed in natural products. Orthoester linkage and methylenedioxy bridge biosynthesis require similar oxidative cyclizations adjacent to a sugar ring. We have identified a conserved group of nonheme iron, α-ketoglutarate-dependent oxygenases likely responsible for this chemistry. High-resolution crystal structures of the EvdO1 and EvdO2 oxygenases of everninomicin biosynthesis, the AviO1 oxygenase of avilamycin biosynthesis, and HygX of hygromycin B biosynthesis show how these enzymes accommodate large substrates, a challenge that requires a variation in metal coordination in HygX. Excitingly, the ternary complex of HygX with cosubstrate α-ketoglutarate and putative product hygromycin B identified an orientation of one glycosidic linkage of hygromycin B consistent with metal-catalyzed hydrogen atom abstraction from substrate. These structural results are complemented by gene disruption of the oxygenases evdO1 and evdMO1 from the everninomicin biosynthetic cluster, which demonstrate that functional oxygenase activity is critical for antibiotic production. Our data therefore support a role for these enzymes in the production of key features of the orthosomycin antibiotics.


Asunto(s)
Aminoglicósidos/química , Antibacterianos/química , Oxígeno/química , Oxigenasas/química , Dominio Catalítico , Cristalografía por Rayos X , Ciclización , Hidrógeno/química , Higromicina B/química , Metales/química , Micromonospora/enzimología , Micromonospora/genética , Familia de Multigenes , Oligosacáridos/química , Sistemas de Lectura Abierta , Oxidación-Reducción , Filogenia , Unión Proteica , Estructura Secundaria de Proteína , Reproducibilidad de los Resultados , Streptomyces/enzimología , Streptomyces/genética
4.
Philos Trans R Soc Lond B Biol Sci ; 378(1877): 20220055, 2023 05 22.
Artículo en Inglés | MEDLINE | ID: mdl-37004719

RESUMEN

Predicting evolutionary outcomes is an important research goal in a diversity of contexts. The focus of evolutionary forecasting is usually on adaptive processes, and efforts to improve prediction typically focus on selection. However, adaptive processes often rely on new mutations, which can be strongly influenced by predictable biases in mutation. Here, we provide an overview of existing theory and evidence for such mutation-biased adaptation and consider the implications of these results for the problem of prediction, in regard to topics such as the evolution of infectious diseases, resistance to biochemical agents, as well as cancer and other kinds of somatic evolution. We argue that empirical knowledge of mutational biases is likely to improve in the near future, and that this knowledge is readily applicable to the challenges of short-term prediction. This article is part of the theme issue 'Interdisciplinary approaches to predicting evolutionary biology'.


Asunto(s)
Adaptación Fisiológica , Evolución Biológica , Mutación , Adaptación Fisiológica/genética , Aclimatación , Sesgo , Evolución Molecular
5.
Elife ; 92020 09 22.
Artículo en Inglés | MEDLINE | ID: mdl-32959778

RESUMEN

Cooperation and cheating are widespread evolutionary strategies. While cheating confers an advantage to individual entities within a group, competition between groups favors cooperation. Selfish or cheater mitochondrial DNA (mtDNA) proliferates within hosts while being selected against at the level of host fitness. How does environment shape cheater dynamics across different selection levels? Focusing on food availability, we address this question using heteroplasmic Caenorhabditis elegans. We find that the proliferation of selfish mtDNA within hosts depends on nutrient status stimulating mtDNA biogenesis in the developing germline. Interestingly, mtDNA biogenesis is not sufficient for this proliferation, which also requires the stress-response transcription factor FoxO/DAF-16. At the level of host fitness, FoxO/DAF-16 also prevents food scarcity from accelerating the selection against selfish mtDNA. This suggests that the ability to cope with nutrient stress can promote host tolerance of cheaters. Our study delineates environmental effects on selfish mtDNA dynamics at different levels of selection.


Asunto(s)
Genoma Mitocondrial/genética , Dinámicas Mitocondriales/genética , Nutrientes/metabolismo , Secuencias Repetitivas de Ácidos Nucleicos/genética , Animales , Evolución Biológica , Caenorhabditis elegans/genética , Caenorhabditis elegans/fisiología , Proliferación Celular/genética , Aptitud Genética/genética
6.
Curr Biol ; 29(24): R1316-R1318, 2019 12 16.
Artículo en Inglés | MEDLINE | ID: mdl-31846681

RESUMEN

Resource limitation underlies competition in the living world, even between intracellular populations of mitochondria. A new study shows that reducing the availability of an essential cellular resource, namely the enzyme that replicates mitochondrial DNA (mtDNA), can alter the selective advantage of one mtDNA type over another.


Asunto(s)
ADN Mitocondrial , Mitocondrias/genética , ADN Polimerasa gamma , Genoma , Mutación
7.
Cell Metab ; 24(1): 91-103, 2016 07 12.
Artículo en Inglés | MEDLINE | ID: mdl-27411011

RESUMEN

Mutant mitochondrial genomes (mtDNA) can be viewed as selfish genetic elements that persist in a state of heteroplasmy despite having potentially deleterious metabolic consequences. We sought to study regulation of selfish mtDNA dynamics. We establish that the large 3.1-kb deletion-bearing mtDNA variant uaDf5 is a selfish genome in Caenorhabditis elegans. Next, we show that uaDf5 mutant mtDNA replicates in addition to, not at the expense of, wild-type mtDNA. These data suggest the existence of a homeostatic copy-number control that is exploited by uaDf5 to "hitchhike" to high frequency. We also observe activation of the mitochondrial unfolded protein response (UPR(mt)) in uaDf5 animals. Loss of UPR(mt) causes a decrease in uaDf5 frequency, whereas its constitutive activation increases uaDf5 levels. UPR(mt) activation protects uaDf5 from mitophagy. Taken together, we propose that mtDNA copy-number control and UPR(mt) represent two homeostatic response mechanisms that play important roles in regulating selfish mitochondrial genome dynamics.


Asunto(s)
Caenorhabditis elegans/genética , Genoma Mitocondrial , Homeostasis/genética , Animales , ADN Mitocondrial/genética , Eliminación de Gen , Dosificación de Gen , Dinámicas Mitocondriales , Mutación/genética , Interferencia de ARN , Transcripción Genética , Respuesta de Proteína Desplegada/genética
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