scholarly journals Transcriptional noise and exaptation as sources for bacterial sRNAs

2019 ◽  
Vol 47 (2) ◽  
pp. 527-539 ◽  
Author(s):  
Bethany R. Jose ◽  
Paul P. Gardner ◽  
Lars Barquist
Keyword(s):  
Evolutionary Biology ◽  
Regulatory Networks ◽  
Genetic Manipulation ◽  
Effective Population ◽  
Transcriptional Noise ◽  
New Genes ◽  
Generation Times ◽  
Population Sizes ◽  
Rapid Generation ◽  
Regulatory Functions

Abstract Understanding how new genes originate and integrate into cellular networks is key to understanding evolution. Bacteria present unique opportunities for both the natural history and experimental study of gene origins, due to their large effective population sizes, rapid generation times, and ease of genetic manipulation. Bacterial small non-coding RNAs (sRNAs), in particular, many of which operate through a simple antisense regulatory logic, may serve as tractable models for exploring processes of gene origin and adaptation. Understanding how and on what timescales these regulatory molecules arise has important implications for understanding the evolution of bacterial regulatory networks, in particular, for the design of comparative studies of sRNA function. Here, we introduce relevant concepts from evolutionary biology and review recent work that has begun to shed light on the timescales and processes through which non-functional transcriptional noise is co-opted to provide regulatory functions. We explore possible scenarios for sRNA origin, focusing on the co-option, or exaptation, of existing genomic structures which may provide protected spaces for sRNA evolution.

scholarly journals Deep-Time Demographic Inference Suggests Ecological Release as Driver of Neoavian Adaptive Radiation

Diversity ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 164 ◽  
Author(s):  
Peter Houde ◽  
Edward L. Braun ◽  
Lawrence Zhou
Keyword(s):  
Evolutionary Biology ◽  
Gene Tree ◽  
Difficult Problem ◽  
Gene Trees ◽  
Effective Population ◽  
Deep Time ◽  
Ecological Release ◽  
Population Sizes ◽  
Demographic Inference ◽  
Gene Tree Discordance

Assessing the applicability of theory to major adaptive radiations in deep time represents an extremely difficult problem in evolutionary biology. Neoaves, which includes 95% of living birds, is believed to have undergone a period of rapid diversification roughly coincident with the Cretaceous–Paleogene (K-Pg) boundary. We investigate whether basal neoavian lineages experienced an ecological release in response to ecological opportunity, as evidenced by density compensation. We estimated effective population sizes (Ne) of basal neoavian lineages by combining coalescent branch lengths (CBLs) and the numbers of generations between successive divergences. We used a modified version of Accurate Species TRee Algorithm (ASTRAL) to estimate CBLs directly from insertion–deletion (indel) data, as well as from gene trees using DNA sequence and/or indel data. We found that some divergences near the K-Pg boundary involved unexpectedly high gene tree discordance relative to the estimated number of generations between speciation events. The simplest explanation for this result is an increase in Ne, despite the caveats discussed herein. It appears that at least some early neoavian lineages, similar to the ancestor of the clade comprising doves, mesites, and sandgrouse, experienced ecological release near the time of the K-Pg mass extinction.

scholarly journals Changes in life history and population size can explain the relative neutral diversity levels on X and autosomes in extant human populations

2020 ◽  
Vol 117 (33) ◽  
pp. 20063-20069
Author(s):  
Guy Amster ◽  
David A. Murphy ◽  
William R. Milligan ◽  
Guy Sella
Keyword(s):  
Life History ◽  
Population Size ◽  
Mutation Rates ◽  
Human Populations ◽  
Effective Population ◽  
Mutation Bias ◽  
Female Ratio ◽  
Generation Times ◽  
Population Sizes ◽  
Male Mutation Bias

In human populations, the relative levels of neutral diversity on the X and autosomes differ markedly from each other and from the naïve theoretical expectation of 3/4. Here we propose an explanation for these differences based on new theory about the effects of sex-specific life history and given pedigree-based estimates of the dependence of human mutation rates on sex and age. We demonstrate that life history effects, particularly longer generation times in males than in females, are expected to have had multiple effects on human X-to-autosome (X:A) diversity ratios, as a result of male-biased mutation rates, the equilibrium X:A ratio of effective population sizes, and the differential responses to changes in population size. We also show that the standard approach of using divergence between species to correct for male mutation bias results in biased estimates of X:A effective population size ratios. We obtain alternative estimates using pedigree-based estimates of the male mutation bias, which reveal that X:A ratios of effective population sizes are considerably greater than previously appreciated. Finally, we find that the joint effects of historical changes in life history and population size can explain the observed X:A diversity ratios in extant human populations. Our results suggest that ancestral human populations were highly polygynous, that non-African populations experienced a substantial reduction in polygyny and/or increase in the male-to-female ratio of generation times around the Out-of-Africa bottleneck, and that current diversity levels were affected by fairly recent changes in sex-specific life history.

scholarly journals The effect of population size on effective population size: an empirical study in the red flour beetle Tribolium castaneum

1996 ◽  
Vol 68 (2) ◽  
pp. 151-155 ◽  
Author(s):  
Leslie A. Pray ◽  
Charles J. Goodnight ◽  
Lori Stevens ◽  
James M. Schwartz ◽  
Guiyun Yan
Keyword(s):  
Population Size ◽  
Tribolium Castaneum ◽  
Evolutionary Biology ◽  
Negative Relationship ◽  
Red Flour Beetle ◽  
Published Data ◽  
Effective Population ◽  
Flour Beetle ◽  
Large Populations ◽  
Population Sizes

SummaryDespite the increasing number of studies on the magnitude of Ne/N ratios, much remains unknown about the effects of demographic and environmental variables on Ne/N. We determined Ne/N for seven population size treatments, ranging from N = 2 to N = 960, in the red flour beetle Tribolium castaneum. Ne/N decreased with increasing N, as evidenced by a significant negative relationship between log N and Ne/N. Our results are consistent with other published data on the relationship between Ne/N and N. Effective population sizes in large populations may be much smaller than previously recognized. These results have important implications for conservation and evolutionary biology.

scholarly journals MiRNA Regulatory Functions in Photoreceptors

2021 ◽  
Vol 8 ◽  
Author(s):  
Julia Sophie Pawlick ◽  
Marta Zuzic ◽  
Giovanni Pasquini ◽  
Anka Swiersy ◽  
Volker Busskamp
Keyword(s):  
Regulatory Networks ◽  
Inflammatory Responses ◽  
Genetic Manipulation ◽  
Light Sensitivity ◽  
Diagnostic Tools ◽  
Messenger Rnas ◽  
Approaches To Study ◽  
Health And Disease ◽  
Regulatory Functions ◽  
Retinal Pathologies

MicroRNAs (miRNAs) are important regulators of gene expression. These small, non-coding RNAs post-transcriptionally silence messenger RNAs (mRNAs) in a sequence-specific manner. In this way, miRNAs control important regulatory functions, also in the retina. If dysregulated, these molecules are involved in several retinal pathologies. For example, several miRNAs have been linked to essential photoreceptor functions, including light sensitivity, synaptic transmission, and modulation of inflammatory responses. Mechanistic miRNA knockout and knockdown studies further linked their functions to degenerative retinal diseases. Of note, the type and timing of genetic manipulation before, during, or after retinal development, is important when studying specific miRNA knockout effects. Within this review, we focus on miR-124 and the miR-183/96/182 cluster, which have assigned functions in photoreceptors in health and disease. As a single miRNA can regulate hundreds of mRNAs, we will also discuss the experimental validation and manipulation approaches to study complex miRNA/mRNA regulatory networks. Revealing these networks is essential to understand retinal pathologies and to harness miRNAs as precise therapeutic and diagnostic tools to stabilize the photoreceptors’ transcriptomes and, thereby, function.

scholarly journals Estimation of effective population sizes from data on genetic markers

2005 ◽  
Vol 360 (1459) ◽  
pp. 1395-1409 ◽  
Author(s):  
Jinliang Wang
Keyword(s):  
Genetic Markers ◽  
Evolutionary Biology ◽  
Genetic Model ◽  
Spatial Scales ◽  
Effective Population ◽  
Future Developments ◽  
The Past ◽  
Heterozygosity Excess ◽  
Population Sizes ◽  
The Many

The effective population size ( N e ) is an important parameter in ecology, evolutionary biology and conservation biology. It is, however, notoriously difficult to estimate, mainly because of the highly stochastic nature of the processes of inbreeding and genetic drift for which N e is usually defined and measured, and because of the many factors (such as time and spatial scales, systematic forces) confounding such processes. Many methods have been developed in the past three decades to estimate the current, past and ancient effective population sizes using different information extracted from some genetic markers in a sample of individuals. This paper reviews the methodologies proposed for estimating N e from genetic data using information on heterozygosity excess, linkage disequilibrium, temporal changes in allele frequency, and pattern and amount of genetic variation within and between populations. For each methodology, I describe mainly the logic and genetic model on which it is based, the data required and information used, the interpretation of the estimate obtained, some results from applications to simulated or empirical datasets and future developments that are needed.

scholarly journals Changes in life history and population size can explain relative neutral diversity levels on X and autosomes in extant human populations

2019 ◽  
Author(s):  
Guy Amster ◽  
David A. Murphy ◽  
William M. Milligan ◽  
Guy Sella
Keyword(s):  
Life History ◽  
Population Size ◽  
Mutation Rates ◽  
Human Populations ◽  
Effective Population ◽  
Mutation Bias ◽  
Historical Changes ◽  
Generation Times ◽  
Population Sizes ◽  
Male Mutation Bias

AbstractIn human populations, relative levels of neutral polymorphism on the X and autosomes differ markedly from each other and from the naive theoretical expectation of ¾. These differences have attracted considerable attention, with studies highlighting several potential causes, including male biased mutation and reproductive variance, historical changes in population size, and selection at linked loci. We revisit this question in light of our new theory about the effects of life history and given pedigree-based estimates of the dependence of human mutation rates on sex and age. We demonstrate that life history effects, particularly higher generation times in males than females, likely had multiple effects on human X-to-autosomes (X:A) polymorphism ratios, through the extent of male mutation bias, the equilibrium X:A ratios of effective population sizes, and differential responses to changes in population size. We also show that the standard approach of using divergence between species to correct for the male bias in mutation results in biased estimates of X:A effective population size ratios. We obtain alternative estimates using pedigree-based estimates of the male mutation bias, which reveal X:A ratios of effective population sizes to be considerably greater than previously appreciated. We then show that the joint effects of historical changes in life history and population size can explain X:A polymorphism ratios in extant human populations. Our results suggest that ancestral human populations were highly polygynous; that non-African populations experienced a substantial reduction in polygyny and/or increase in male-biased generation times around the out of Africa bottleneck; and that extant diversity levels were affected by fairly recent changes in sex-specific life history.Significance StatementAll else being equal, the ratio of diversity levels on X and autosomes at selectively neutral sites should mirror the ratio of their numbers in the population and thus equal ¾. In reality, the ratios observed across human populations differ markedly from ¾ and from each other. Because from a population perspective, autosomes spend an equal number of generations in both sexes while the X spends twice as many generations in females, these departures from the naïve expectations likely reflect differences between male and female life histories and their effects on mutation processes. Indeed, we show that the ratios observed across human populations can be explained by demographic history, assuming plausible, sex-specific mutation rates, generation times and reproductive variances.

scholarly journals Effective population sizes with multiple paternity.

Genetics ◽  
1994 ◽  
Vol 137 (4) ◽  
pp. 1147-1155 ◽  
Author(s):  
D W Sugg ◽  
R K Chesser
Keyword(s):  
Population Genetics ◽  
Conservation Biology ◽  
Evolutionary Biology ◽  
Multiple Paternity ◽  
Effective Population ◽  
Mating Tactics ◽  
Primary Interest ◽  
Population Sizes ◽  
Fixation Indices ◽  
Male Mate

Abstract While the concept of effective population size is of obvious applicability to many questions in population genetics and conservation biology, its utility has suffered due to a lack of agreement among its various formulations. Often, mathematical formulations for effective sizes apply restrictive assumptions that limit their applicability. Herein, expressions for effective sizes of populations that account for mating tactics, biases in sex ratios, and differential dispersal rates (among other parameters) are developed. Of primary interest is the influence of multiple paternity on the maintenance of genetic variation in a population. In addition to the standard inbreeding and variance effective sizes, intragroup (coancestral) and intergroup effective sizes also are developed. Expressions for effective sizes are developed for the beginning of nonrandom gene exchanges (initial effective sizes), the transition of gene correlations (instantaneous effective sizes), and the steady-state (asymptotic effective size). Results indicate that systems of mating that incorporate more than one male mate per female increase all effective sizes above those expected from polygyny and monogamy. Instantaneous and asymptotic sizes can be expressed relative to the fixation indices. The parameters presented herein can be utilized in models of effective sizes for the study of evolutionary biology and conservation genetics.

Homology, Genes, and Evolutionary Innovation

2014 ◽  
Author(s):  
Günter P. Wagner
Keyword(s):  
Evolutionary Biology ◽  
Regulatory Networks ◽  
Biological Diversity ◽  
Cell Types ◽  
Origin And Evolution ◽  
Major Transitions ◽  
Form And Function ◽  
Historical Continuity ◽  
Evolutionary Innovation ◽  
Character Identity

Homology—a similar trait shared by different species and derived from common ancestry, such as a seal's fin and a bird's wing—is one of the most fundamental yet challenging concepts in evolutionary biology. This book provides the first mechanistically based theory of what homology is and how it arises in evolution. The book argues that homology, or character identity, can be explained through the historical continuity of character identity networks—that is, the gene regulatory networks that enable differential gene expression. It shows how character identity is independent of the form and function of the character itself because the same network can activate different effector genes and thus control the development of different shapes, sizes, and qualities of the character. Demonstrating how this theoretical model can provide a foundation for understanding the evolutionary origin of novel characters, the book applies it to the origin and evolution of specific systems, such as cell types; skin, hair, and feathers; limbs and digits; and flowers. The first major synthesis of homology to be published in decades, this book reveals how a mechanistically based theory can serve as a unifying concept for any branch of science concerned with the structure and development of organisms, and how it can help explain major transitions in evolution and broad patterns of biological diversity.

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