Revisiting an Old Riddle: What Determines Genetic Diversity Levels within Species?

Understanding why some species have more genetic diversity than others is central to the study of ecology and evolution, and carries potentially important implications for conservation biology. Yet not only does this question remain unresolved, it has largely fallen into disregard. With the rapid decrease in sequencing costs, we argue that it is time to revive it.What evolutionary forces maintain genetic diversity in natural populations? How do diversity levels relate to census population sizes (Box 1)? Do low levels of diversity limit adaptation to novel selective pressures? Efforts to address such questions spurred the rise of modern population genetics and contributed to the development of the neutral theory of molecular evolution—the null hypothesis for much of evolutionary genetics and comparative genomics [1]–[3]. Yet these questions remain wide open and, for close to two decades, have been neglected [4]. Most notably, little progress has been made to resolve a riddle first pointed out 40 years ago on the basis of allozyme data: the mysteriously narrow range of genetic diversity levels seen across taxa that vary markedly in their census population sizes [5]. This gap in our understanding is glaring, and may hamper efforts at conservation (e.g., [6]).

Box 1. Glossary

Allozymes: Allelic variants of a protein, often detected by differences in gel electrophoresis. Balancing selection: Natural selection that maintains variation longer than expected from genetic drift alone. Census population size: The actual number of individuals in a population; methods to estimate this number vary depending on the species and may involve aerial, transect, or capture/recapture counts. Diversity levels: The measure used here is the probability that a pair of randomly chosen haplotypes differ at a site. Effective population size: The size of an idealized population with some of the same properties as the actual one, e.g., the same rate of genetic drift. Under simplifying assumptions, notably a constant population size and no population structure, this parameter can be estimated from observed diversity levels, given an independent estimate of the mutation rate. Fluctuating selection: When the fitness of an allele changes over time or over space. Genetic draft: A dramatic loss of genetic variation due to strong, frequent selection at nearby sites [8]. Genetic drift: In a finite population, the loss of genetic variation due to the random sampling of gametes at each generation. Local adaptation: Adaptation to a particular environment that is not shared by the entire species. Nearly neutral theory of molecular evolution: A modification of the neutral theory, in which many mutations are slightly deleterious, rather than strictly neutral or strongly deleterious [75]. Neutral theory of molecular evolution: The theory that most genetic variation seen within populations and between species is neutral, and most mutations are either neutral or strongly deleterious [11]. Panmixia: Random mating among individuals, and hence no population structure. Phylogenetically independent contrasts: A statistical method that allows one to compare properties of species controlling for their evolutionary relationship. Purifying (negative) selection: Natural selection that favors the common, fitter allele against rare, deleterious alleles. Selection at linked sites: Selection at sites linked to the locus under consideration, which can affect the population dynamics of alleles at that locus. Silent sites: A general term for synonymous, intronic, and intergenic sites—all sites at which mutations do not change an amino acid. Variation-reducing selection: Selection that leads to a decrease in diversity at linked sites.With the recent technological revolution in sequencing, the data needed to address questions about the determinants of genetic diversity levels are now within reach. As a first step towards reviving these questions, we compile existing estimates of nuclear sequence diversity. These data are highly preliminary, but they underscore how little is known about the narrow span of diversity levels across species or why some species maintain more genetic variation than others [5],[7],[8], and they offer a glimpse of trends that may be worth pursuing.     

Protein cofactors and substrate influence Mg2+-dependent structural changes in the catalytic RNA of archaeal RNase P

The ribonucleoprotein (RNP) form of archaeal RNase P comprises one catalytic RNA and five protein cofactors. To catalyze Mg²⁺-dependent cleavage of the 5′ leader from pre-tRNAs, the catalytic (C) and specificity (S) domains of the RNase P RNA (RPR) cooperate to recognize different parts of the pre-tRNA. While ∼250–500 mM Mg²⁺ renders the archaeal RPR active without RNase P proteins (RPPs), addition of all RPPs lowers the Mg²⁺ requirement to ∼10–20 mM and improves the rate and fidelity of cleavage. To understand the Mg²⁺- and RPP-dependent structural changes that increase activity, we used pre-tRNA cleavage and ensemble FRET assays to characterize inter-domain interactions in Pyrococcus furiosus (Pfu) RPR, either alone or with RPPs ± pre-tRNA. Following splint ligation to doubly label the RPR (Cy3-RPR_{C domain} and Cy5-RPR_{S domain}), we used native mass spectrometry to verify the final product. We found that FRET correlates closely with activity, the Pfu RPR and RNase P holoenzyme (RPR + 5 RPPs) traverse different Mg²⁺-dependent paths to converge on similar functional states, and binding of the pre-tRNA by the holoenzyme influences Mg²⁺ cooperativity. Our findings highlight how Mg²⁺ and proteins in multi-subunit RNPs together favor RNA conformations in a dynamic ensemble for functional gains.     

Evolution of Functional Diversity in the Holozoan Tyrosine Kinome

The emergence of multicellularity is strongly correlated with the expansion of tyrosine kinases, a conserved family of signaling enzymes that regulates pathways essential for cell-to-cell communication. Although tyrosine kinases have been classified from several model organisms, a molecular-level understanding of tyrosine kinase evolution across all holozoans is currently lacking. Using a hierarchical sequence constraint-based classification of diverse holozoan tyrosine kinases, we construct a new phylogenetic tree that identifies two ancient clades of cytoplasmic and receptor tyrosine kinases separated by the presence of an extended insert segment in the kinase domain connecting the D and E-helices. Present in nearly all receptor tyrosine kinases, this fast-evolving insertion imparts diverse functionalities, such as post-translational modification sites and regulatory interactions. Eph and EGFR receptor tyrosine kinases are two exceptions which lack this insert, each forming an independent lineage characterized by unique functional features. We also identify common constraints shared across multiple tyrosine kinase families which warrant the designation of three new subgroups: Src module (SrcM), insulin receptor kinase-like (IRKL), and fibroblast, platelet-derived, vascular, and growth factor receptors (FPVR). Subgroup-specific constraints reflect shared autoinhibitory interactions involved in kinase conformational regulation. Conservation analyses describe how diverse tyrosine kinase signaling functions arose through the addition of family-specific motifs upon subgroup-specific features and coevolving protein domains. We propose the oldest tyrosine kinases, IRKL, SrcM, and Csk, originated from unicellular premetazoans and were coopted for complex multicellular functions. The increased frequency of oncogenic variants in more recent tyrosine kinases suggests that lineage-specific functionalities are selectively altered in human cancers.     

Synthesis,spectral studies,DNA binding,photocleavage, antimicrobial and anticancer activities of isoindol Ru(II) polypyridyl complexes

Abstract

Three new Ru(II) polypyridyl complexes [Ru(phen)₂CIIP]²⁺ (1) {CIIP = 2-(5-Chloro-3a H-Isoindol-3-yl)-1H-Imidazo[4,5-f][1, 10]phenantholine} (phen = 1, 10 phenanthroline), [Ru(bpy)₂CIIP]²⁺ (2) (bpy = 2, 2′ bipyridine) and [Ru(dmb)₂CIIP]²⁺ (3) (dmb = 4, 4′-dimethyl 2, 2′ bipyridine) were synthesized and characterized by different spectral methods. The DNA-binding behavior of these complexes was investigated by absorption, emission spectroscopic titration and viscosity measurements, indicating that these three complexes bind to CT-DNA in an intercalative mode, but binding affinities of these complexes were different. The DNA-binding constants K_b of complexes 1, 2 and 3 were calculated in the order of 10⁶. All three complexes cleave pBR322 DNA in photoactivated cleavage studies and exhibit good antimicrobial activity. Anticancer activity of these Ru(II) complexes was evaluated in MCF7 cells. Cytotoxicity by MTT assay showed growth inhibition in a dose dependent manner. Cell cycle analysis by flow cytometry data showed an increase in Sub G1 population. Annexin V FITC/PI staining confirms that these complexes cause cell death by the induction of apoptosis.     

Growth hormone/IGF-I and/or resistive exercise maintains myonuclear number in hindlimb unweighted muscles

Allen, David L., Jon K. Linderman, Roland R. Roy, Richard E. Grindeland, Venkat Mukku, and V. Reggie Edgerton. Growth hormone/IGF-I and/or resistive exercise maintains myonuclearnumber in hindlimb unweighted muscles. J. Appl.Physiol. 83(5): 1857-1861, 1997.In the presentstudy of rats, we examined the role, during 2 wk ofhindlimb suspension, of growth hormone/insulin-like growth factor I(GH/IGF-I) administration and/or brief bouts of resistance exercise in ameliorating the loss of myonuclei in fibers of the soleusmuscle that express type I myosin heavy chain. Hindlimb suspensionresulted in a significant decrease in mean soleus wet weight that wasattenuated either by exercise alone or by exercise plus GH/IGF-Itreatment but was not attenuated by hormonal treatment alone. Both meanmyonuclear number and mean fiber cross-sectional area (CSA) of fibersexpressing type I myosin heavy chain decreased after 2 wk of suspensioncompared with control (134 vs. 162 myonuclei/mm and 917 vs. 2,076 µm², respectively). NeitherGH/IGF-I treatment nor exercise alone affected myonuclear number orfiber CSA, but the combination of exercise and growth-factor treatmentattenuated the decrease in both variables. A significant correlationwas found between mean myonuclear number and mean CSA across allgroups. Thus GH/IGF-I administration and brief bouts of muscle loadinghad an interactive effect in attenuating the loss of myonuclei inducedby chronic unloading.

     

Oncogenic KRAS G12C: Kinetic and redox characterization of covalent inhibition

The recent development of mutant-selective inhibitors for the oncogenic KRAS^G12C allele has generated considerable excitement. These inhibitors covalently engage the mutant C12 thiol located within the phosphoryl binding loop of RAS, locking the KRAS^G12C protein in an inactive state. While clinical trials of these inhibitors have been promising, mechanistic questions regarding the reactivity of this thiol remain. Here, we show by NMR and an independent biochemical assay that the pK_a of the C12 thiol is depressed (pK_a ∼7.6), consistent with susceptibility to chemical ligation. Using a validated fluorescent KRAS^Y137W variant amenable to stopped-flow spectroscopy, we characterized the kinetics of KRAS^G12C fluorescence changes upon addition of ARS-853 or AMG 510, noting that at low temperatures, ARS-853 addition elicited both a rapid first phase of fluorescence change (attributed to binding, K_d = 36.0 ± 0.7 μM) and a second, slower pH-dependent phase, taken to represent covalent ligation. Consistent with the lower pK_a of the C12 thiol, we found that reversible and irreversible oxidation of KRAS^G12C occurred readily both in vitro and in the cellular environment, preventing the covalent binding of ARS-853. Moreover, we found that oxidation of the KRAS^G12C Cys12 to a sulfinate altered RAS conformation and dynamics to be more similar to KRAS^G12D in comparison to the unmodified protein, as assessed by molecular dynamics simulations. Taken together, these findings provide insight for future KRAS^G12C drug discovery efforts, and identify the occurrence of G12C oxidation with currently unknown biological ramifications.     

The physiology and ecological implications of efficient growth

The natural habitats of microbes are typically spatially structured with limited resources, so opportunities for unconstrained, balanced growth are rare. In these habitats, selection should favor microbes that are able to use resources most efficiently, that is, microbes that produce the most progeny per unit of resource consumed. On the basis of this assertion, we propose that selection for efficiency is a primary driver of the composition of microbial communities. In this article, we review how the quality and quantity of resources influence the efficiency of heterotrophic growth. A conceptual model proposing innate differences in growth efficiency between oligotrophic and copiotrophic microbes is also provided. We conclude that elucidation of the mechanisms underlying efficient growth will enhance our understanding of the selective pressures shaping microbes and will improve our capacity to manage microbial communities effectively.     

A computational model for understanding the micro-mechanics of collagen fiber network in the tunica adventitia

Abdominal aortic aneurysm is a prevalent cardiovascular disease with high mortality rates. The mechanical response of the arterial wall relies on the organizational and structural behavior of its microstructural components, and thus, a detailed understanding of the microscopic mechanical response of the arterial wall layers at loads ranging up to rupture is necessary to improve diagnostic techniques and possibly treatments. Following the common notion that adventitia is the ultimate barrier at loads close to rupture, in the present study, a finite element model of adventitial collagen network was developed to study the mechanical state at the fiber level under uniaxial loading. Image stacks of the rabbit carotid adventitial tissue at rest and under uniaxial tension obtained using multi-photon microscopy were used in this study, as well as the force–displacement curves obtained from previously published experiments. Morphological parameters like fiber orientation distribution, waviness, and volume fraction were extracted for one sample from the confocal image stacks. An inverse random sampling approach combined with a random walk algorithm was employed to reconstruct the collagen network for numerical simulation. The model was then verified using experimental stress–stretch curves. The model shows the remarkable capacity of collagen fibers to uncrimp and reorient in the loading direction. These results further show that at high stretches, collagen network behaves in a highly non-affine manner, which was quantified for each sample. A comprehensive parameter study to understand the relationship between structural parameters and their influence on mechanical behavior is presented. Through this study, the model was used to conclude important structure–function relationships that control the mechanical response. Our results also show that at loads close to rupture, the probability of failure occurring at the fiber level is up to 2%. Uncertainties in usually employed rupture risk indicators and the stochastic nature of the event of rupture combined with limited knowledge on the microscopic determinants motivate the development of such an analysis. Moreover, this study will advance the study of coupling microscopic mechanisms to rupture of the artery as a whole.