scholarly journals The landscape of coadaptation in Vibrio parahaemolyticus

eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Yujun Cui ◽  
Chao Yang ◽  
Hongling Qiu ◽  
Hui Wang ◽  
Ruifu Yang ◽  
...  
Keyword(s):  
Cell Wall ◽  
Population Structure ◽  
Vibrio Parahaemolyticus ◽  
Natural Populations ◽  
Bacterial Pathogen ◽  
Ecological Strategies ◽  
Cell Wall Biogenesis ◽  
Genome Wide ◽  
A Genome ◽  
Carbohydrate Transport

Investigating fitness interactions in natural populations remains a considerable challenge. We take advantage of the unique population structure of Vibrio parahaemolyticus, a bacterial pathogen of humans and shrimp, to perform a genome-wide screen for coadapted genetic elements. We identified 90 interaction groups (IGs) involving 1,560 coding genes. 82 IGs are between accessory genes, many of which have functions related to carbohydrate transport and metabolism. Only 8 involve both core and accessory genomes. The largest includes 1,540 SNPs in 82 genes and 338 accessory genome elements, many involved in lateral flagella and cell wall biogenesis. The interactions have a complex hierarchical structure encoding at least four distinct ecological strategies. One strategy involves a divergent profile in multiple genome regions, while the others involve fewer genes and are more plastic. Our results imply that most genetic alliances are ephemeral but that increasingly complex strategies can evolve and eventually cause speciation.

scholarly journals The landscape of coadaptation in Vibrio parahaemolyticus

2018 ◽  
Author(s):  
Yujun Cui ◽  
Chao Yang ◽  
Hongling Qiu ◽  
Hui Wang ◽  
Ruifu Yang ◽  
...  
Keyword(s):  
Biofilm Formation ◽  
Vibrio Parahaemolyticus ◽  
Natural Populations ◽  
Bacterial Pathogen ◽  
Ecological Strategies ◽  
Bacterial Growth Rate ◽  
Cell Wall Biogenesis ◽  
Genome Wide ◽  
A Genome

AbstractInvestigating fitness interactions in natural populations remains a considerable challenge. We take advantage of the unique population structure of Vibrio parahaemolyticus, a bacterial pathogen of humans and shrimp, to perform a genome-wide screen for coadapted genetic elements. We identified 90 interaction groups involving 1,560 coding genes. 82 of these interaction groups are between accessory genes, many of which have functions related to carbohydrate transport and metabolism. Only 8 interaction groups involve both core and accessory genomes. The largest includes 1,540 SNPs in 82 genes and 338 accessory genome elements, many involved in lateral flagella and cell wall biogenesis. The interactions have a complex hierarchical structure encoding at least four distinct ecological strategies. Preliminary experiments imply that the strategies influence biofilm formation and bacterial growth rate in vitro. One strategy involves a divergent profile in multiple genome regions, implying that strains have irreversibly specialized, while the others involve fewer genes and are more plastic. Our results imply that most genetic alliances are ephemeral but that increasingly complex strategies can evolve and eventually cause speciation.

scholarly journals The Genetic Architecture of Ovariole Number in Drosophila melanogaster: Genes with Major, Quantitative, and Pleiotropic Effects

2017 ◽  
Vol 7 (7) ◽  
pp. 2391-2403 ◽  
Author(s):  
Amanda S Lobell ◽  
Rachel R Kaspari ◽  
Yazmin L Serrano Negron ◽  
Susan T Harbison
Keyword(s):  
Candidate Genes ◽  
Genome Wide Association Study ◽  
Natural Populations ◽  
Direct Role ◽  
Genome Wide ◽  
A Genome ◽  
Fitness Trait ◽  
Sleep Parameters ◽  
Activity Behavior ◽  
Ovariole Number

Abstract Ovariole number has a direct role in the number of eggs produced by an insect, suggesting that it is a key morphological fitness trait. Many studies have documented the variability of ovariole number and its relationship to other fitness and life-history traits in natural populations of Drosophila. However, the genes contributing to this variability are largely unknown. Here, we conducted a genome-wide association study of ovariole number in a natural population of flies. Using mutations and RNAi-mediated knockdown, we confirmed the effects of 24 candidate genes on ovariole number, including a novel gene, anneboleyn (formerly CG32000), that impacts both ovariole morphology and numbers of offspring produced. We also identified pleiotropic genes between ovariole number traits and sleep and activity behavior. While few polymorphisms overlapped between sleep parameters and ovariole number, 39 candidate genes were nevertheless in common. We verified the effects of seven genes on both ovariole number and sleep: bin3, blot, CG42389, kirre, slim, VAChT, and zfh1. Linkage disequilibrium among the polymorphisms in these common genes was low, suggesting that these polymorphisms may evolve independently.

scholarly journals Genome-wide characterization of genetic diversity and population structure of Valeriana officinalis L.

2019 ◽  
Author(s):  
Maja Boczkowska ◽  
Katarzyna Bączek ◽  
Olga Kosakowska ◽  
Anna Rucińska ◽  
Wiesław Podyma ◽  
...  
Keyword(s):  
Population Structure ◽  
Population Genomics ◽  
Natural Populations ◽  
Valeriana Officinalis ◽  
Wild Populations ◽  
Genetic Fingerprint ◽  
Genome Wide ◽  
Species Population ◽  
Outcrossing Species

Abstract Background: Valeriana officinalis L. is one of the most important medicinal plant with a mild sedative, nervine, antispasmodic and relaxant effect. Despite a substantial number of studies on this species, population genomics has not yet been analyzed. The main aim of this study was: characterization of genetic variation of natural populations of V. officinalis in Poland and comparison of variation of wild populations and the cultivated form using Next Generation Sequencing based DArTseq technique. We also would like to establish foundations for genetic monitoring of the species in the future and to develop genetic fingerprint profile for samples deposited in gene bank and in natural sites in order to assess the degree of their genetic integrity and population structure preservation in the future.Results: The major and also the most astounding result of our work is the low level of observed heterozygosity of individual plants from natural populations despite the fact that the species is widespread in the studied area. Inbreeding, in naturally outcrossing species such as valerian, decreases the reproductive success. The analysis of the population structure indicated the potential presence of metapopulation in a broad area of Poland and the formation of a distinct gene pool in Bieszczady Mountains. The results also indicate the presence of individuals of the cultivated form in natural populations in the region where the species is cultivated for the needs of the pharmaceutical industry and this could lead to structural and genetic imbalance in wild populations.Conclusions: The DArTseq technology can be applied effectively in genetic studies of V. officinalis. The genetic variability of wild populations is in fact significantly lower than assumed. Individuals from the cultivated population are found in the natural environment and their impact on wild populations should be monitored.

scholarly journals From conservation genetics to conservation genomics: a genome-wide assessment of blue whales ( Balaenoptera musculus ) in Australian feeding aggregations

2018 ◽  
Vol 5 (1) ◽  
pp. 170925 ◽  
Author(s):  
Catherine R. M. Attard ◽  
Luciano B. Beheregaray ◽  
Jonathan Sandoval-Castillo ◽  
K. Curt S. Jenner ◽  
Peter C. Gill ◽  
...  
Keyword(s):  
Population Structure ◽  
Adaptive Divergence ◽  
Balaenoptera Musculus ◽  
Blue Whale ◽  
Conservation Genomics ◽  
Next Generation Sequencing Technology ◽  
Genome Wide ◽  
A Genome ◽  
Wide Range ◽  
Blue Whales

Genetic datasets of tens of markers have been superseded through next-generation sequencing technology with genome-wide datasets of thousands of markers. Genomic datasets improve our power to detect low population structure and identify adaptive divergence. The increased population-level knowledge can inform the conservation management of endangered species, such as the blue whale ( Balaenoptera musculus ). In Australia, there are two known feeding aggregations of the pygmy blue whale ( B. m. brevicauda ) which have shown no evidence of genetic structure based on a small dataset of 10 microsatellites and mtDNA. Here, we develop and implement a high-resolution dataset of 8294 genome-wide filtered single nucleotide polymorphisms, the first of its kind for blue whales. We use these data to assess whether the Australian feeding aggregations constitute one population and to test for the first time whether there is adaptive divergence between the feeding aggregations. We found no evidence of neutral population structure and negligible evidence of adaptive divergence. We propose that individuals likely travel widely between feeding areas and to breeding areas, which would require them to be adapted to a wide range of environmental conditions. This has important implications for their conservation as this blue whale population is likely vulnerable to a range of anthropogenic threats both off Australia and elsewhere.

scholarly journals Predicting the Landscape of Recombination Using Deep Learning

2020 ◽  
Vol 37 (6) ◽  
pp. 1790-1808 ◽  
Author(s):  
Jeffrey R Adrion ◽  
Jared G Galloway ◽  
Andrew D Kern
Keyword(s):  
Deep Learning ◽  
Evolutionary History ◽  
Model Misspecification ◽  
Natural Populations ◽  
High Accuracy ◽  
Demographic Model ◽  
Recombination Rates ◽  
Genome Wide ◽  
A Genome ◽  
The Face

Abstract Accurately inferring the genome-wide landscape of recombination rates in natural populations is a central aim in genomics, as patterns of linkage influence everything from genetic mapping to understanding evolutionary history. Here, we describe recombination landscape estimation using recurrent neural networks (ReLERNN), a deep learning method for estimating a genome-wide recombination map that is accurate even with small numbers of pooled or individually sequenced genomes. Rather than use summaries of linkage disequilibrium as its input, ReLERNN takes columns from a genotype alignment, which are then modeled as a sequence across the genome using a recurrent neural network. We demonstrate that ReLERNN improves accuracy and reduces bias relative to existing methods and maintains high accuracy in the face of demographic model misspecification, missing genotype calls, and genome inaccessibility. We apply ReLERNN to natural populations of African Drosophila melanogaster and show that genome-wide recombination landscapes, although largely correlated among populations, exhibit important population-specific differences. Lastly, we connect the inferred patterns of recombination with the frequencies of major inversions segregating in natural Drosophila populations.

scholarly journals Population structure of modern-day Italians reveals patterns of ancient and archaic ancestries in Southern Europe

2019 ◽  
Vol 5 (9) ◽  
pp. eaaw3492 ◽  
Author(s):  
A. Raveane ◽  
S. Aneli ◽  
F. Montinaro ◽  
G. Athanasiadis ◽  
S. Barlera ◽  
...  
Keyword(s):  
Population Structure ◽  
Bronze Age ◽  
The Caucasus ◽  
Italian Peninsula ◽  
Nomadic Pastoralists ◽  
Genome Wide ◽  
A Genome ◽  
The World ◽  
European Populations

European populations display low genetic differentiation as the result of long-term blending of their ancient founding ancestries. However, it is unclear how the combination of ancient ancestries related to early foragers, Neolithic farmers, and Bronze Age nomadic pastoralists can explain the distribution of genetic variation across Europe. Populations in natural crossroads like the Italian peninsula are expected to recapitulate the continental diversity, but have been systematically understudied. Here, we characterize the ancestry profiles of Italian populations using a genome-wide dataset representative of modern and ancient samples from across Italy, Europe, and the rest of the world. Italian genomes capture several ancient signatures, including a non–steppe contribution derived ultimately from the Caucasus. Differences in ancestry composition, as the result of migration and admixture, have generated in Italy the largest degree of population structure detected so far in the continent, as well as shaping the amount of Neanderthal DNA in modern-day populations.

scholarly journals Review: Population Structure in Genetic Studies: Confounding Factors and Mixed Models

2016 ◽  
Author(s):  
Lana S. Martin ◽  
Eleazar Eskin
Keyword(s):  
Population Structure ◽  
Mixed Models ◽  
Genome Wide Association Study ◽  
Association Studies ◽  
Laboratory Mouse ◽  
Mouse Strains ◽  
Genetic Studies ◽  
The Past ◽  
Genome Wide ◽  
A Genome

AbstractA genome-wide association study (GWAS) seeks to identify genetic variants that contribute to the development and progression of a specific disease. Over the past 10 years, new approaches using mixed models have emerged to mitigate the deleterious effects of population structure and relatedness in association studies. However, developing GWAS techniques to effectively test for association while correcting for population structure is a computational and statistical challenge. Using laboratory mouse strains as an example, our review characterizes the problem of population structure in association studies and describes how it can cause false positive associations. We then motivate mixed models in the context of unmodeled factors.

scholarly journals Inference of Population Genetic Structure and High Linkage Disequilibrium Among Alternaria spp. Collected from Tomato and Potato Using Genotyping by Sequencing

2019 ◽  
Author(s):  
Tika B. Adhikari ◽  
Brian J. Knaus ◽  
Niklaus J. Grünwald ◽  
Dennis Halterman ◽  
Frank J. Louws
Keyword(s):  
Population Structure ◽  
Linkage Disequilibrium ◽  
Plant Pathogens ◽  
Principal Component ◽  
Genotyping By Sequencing ◽  
Allelic Association ◽  
Nucleotide Polymorphisms ◽  
Entire Genome ◽  
Genome Wide ◽  
A Genome

ABSTRACTGenotyping by sequencing (GBS) is considered a powerful tool to discover single nucleotide polymorphisms (SNPs), which are useful to characterize closely related genomes of plant species and plant pathogens. We applied GBS to determine genome-wide variations in a panel of 187 isolates of three closely related Alternaria spp. that cause diseases on tomato and potato in North Carolina (NC) and Wisconsin (WI). To compare genetic variations, reads were mapped to both A. alternata and A. solani draft reference genomes and detected dramatic differences in SNPs among them. Comparison of A. linariae and A. solani populations by principal component analysis revealed the first (83.8% of variation) and second (8.0% of variation) components contained A. linariae from tomato in NC and A. solani from potato in WI, respectively, providing evidence of population structure. Genetic differentiation (Hedrick’s G’ST) in A. linariae populations from Haywood, Macon, and Madison counties in NC were little or no differentiated (G’ST 0.0 - 0.2). However, A. linariae population from Swain county appeared to be highly differentiated (G’ST > 0.8). To measure the strength of the linkage disequilibrium (LD), we also calculated the allelic association between pairs of loci. Lewontin’s D (measures the fraction of allelic variations) and physical distances provided evidence of linkage throughout the entire genome, consistent with the hypothesis of non-random association of alleles among loci. Our findings provide new insights into the understanding of clonal populations on a genome-wide scale and microevolutionary factors that might play an important role in population structure. Although we found limited genetic diversity, the three Alternaria spp. studied here are genetically distinct and each species is preferentially associated with one host.

scholarly journals Genome-wide and enzymatic analysis reveals efficient D-galacturonic acid metabolism in the basidiomycete yeastRhodosporidium toruloides

2019 ◽  
Author(s):  
Ryan J. Protzko ◽  
Christina A. Hach ◽  
Samuel T. Coradetti ◽  
Magdalena A. Hackhofer ◽  
Sonja Magosch ◽  
...  
Keyword(s):  
Cell Wall ◽  
Plant Cell ◽  
Galacturonic Acid ◽  
Plant Cell Wall ◽  
Rhodosporidium Toruloides ◽  
Cell Wall Polysaccharide ◽  
Aromatic Molecules ◽  
Renewable Feedstocks ◽  
Genome Wide ◽  
A Genome

AbstractBiorefining of renewable feedstocks is one of the most promising routes to replace fossil-based products. Since many common fermentation hosts, such asSaccharomyces cerevisiae, are naturally unable to convert many component plant cell wall polysaccharides, the identification of organisms with broad catabolism capabilities represents an opportunity to expand the range of substrates used in fermentation biorefinery approaches. The red basidiomycete yeastRhodosporidium toruloidesis a promising and robust host for lipid and terpene derived chemicals. Previous studies demonstrated assimilation of a range of substrates, from C5/C6-sugars to aromatic molecules similar to lignin monomers. In the current study, we analyzedR. toruloidespotential to assimilate D-galacturonic acid, a major sugar in many pectin-rich agricultural waste streams, including sugar beet pulp and citrus peels. D-galacturonic acid is not a preferred substrate for many fungi, but its metabolism was found to be on par with D-glucose and D-xylose inR. toruloides. A genome-wide analysis by combined RNAseq/RB-TDNAseq revealed those genes with high relevance for fitness on D-galacturonic acid. WhileR. toruloideswas found to utilize the same non-phosphorylative catabolic pathway known from ascomycetes, the maximal velocities of several enzymes exceeded those previously reported. In addition, an efficient downstream glycerol catabolism and a novel transcription factor were found to be important for D-galacturonic acid utilization. These results set the basis for use ofR. toruloidesas a potential host for pectin-rich waste conversions and demonstrate its suitability as a model for metabolic studies in basidiomycetes.ImportanceThe switch from the traditional fossil-based industry to a green and sustainable bio-economy demands the complete utilization of renewable feedstocks. Many currently used bio-conversion hosts are unable to utilize major components of plant biomass, warranting the identification of microorganisms with broader catabolic capacity and characterization of their unique biochemical pathways. D-galacturonic acid is a plant component of bio-conversion interest and is the major backbone sugar of pectin, a plant cell wall polysaccharide abundant in soft and young plant tissues. The red basidiomycete and oleaginous yeastRhodosporidium toruloideshas been previously shown to utilize a range of sugars and aromatic molecules. Using state-of-the-art functional genomic methods, physiological and biochemical assays, we elucidated the molecular basis underlying the efficient metabolism of D-galacturonic acid. This study identifies an efficient pathway for uronic acid conversion to guide future engineering efforts, and represents the first detailed metabolic analysis of pectin metabolism in a basidiomycete fungus.

scholarly journals Genomic analysis reveals the genetic diversity, population structure, evolutionary history and relationships of Chinese pepper

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Shijing Feng ◽  
Zhenshan Liu ◽  
Yang Hu ◽  
Jieyun Tian ◽  
Tuxi Yang ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Demographic History ◽  
Genomic Analysis ◽  
Genotyping By Sequencing ◽  
Gansu Province ◽  
Climatic Oscillations ◽  
Genome Wide ◽  
A Genome ◽  
Wild Accessions

Abstract Chinese pepper, mainly including Zanthoxylum bungeanum and Zanthoxylum armatum, is an economically important crop popular in Asian countries due to its unique taste characteristics and potential medical uses. Numerous cultivars of Chinese pepper have been developed in China through long-term domestication. To better understand the population structure, demographic history, and speciation of Chinese pepper, we performed a comprehensive analysis at a genome-wide level by analyzing 38,395 genomic SNPs that were identified in 112 cultivated and wild accessions using a high-throughput genome-wide genotyping-by-sequencing (GBS) approach. Our analysis provides genetic evidence of multiple splitting events occurring between and within species, resulting in at least four clades in Z. bungeanum and two clades in Z. armatum. Despite no evidence of recent admixture between species, we detected substantial gene flow within species. Estimates of demographic dynamics and species distribution modeling suggest that climatic oscillations during the Pleistocene (including the Penultimate Glaciation and the Last Glacial Maximum) and recent domestication events together shaped the demography and evolution of Chinese pepper. Our analyses also suggest that southeastern Gansu province is the most likely origin of Z. bungeanum in China. These findings provide comprehensive insights into genetic diversity, population structure, demography, and adaptation in Zanthoxylum.

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