scholarly journals A Genome-Wide Identification of Genes Undergoing Recombination and Positive Selection inNeisseria

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Dong Yu ◽  
Yuan Jin ◽  
Zhiqiu Yin ◽  
Hongguang Ren ◽  
Wei Zhou ◽  
...  
Keyword(s):  
Positive Selection ◽  
Adaptive Evolution ◽  
Molecular Mechanisms ◽  
Acid Sites ◽  
Gram Negative Bacteria ◽  
Orthologous Genes ◽  
Genome Wide ◽  
A Genome ◽  
History Of ◽  
Functional Analyses

Currently, there is particular interest in the molecular mechanisms of adaptive evolution in bacteria.Neisseriais a genus of gram negative bacteria, and there has recently been considerable focus on its two human pathogenic speciesN. meningitidisandN. gonorrhoeae. Until now, no genome-wide studies have attempted to scan for the genes related to adaptive evolution. For this reason, we selected 18Neisseriagenomes (14N. meningitidis, 3N. gonorrhoeaeand 1 commensalN. lactamics) to conduct a comparative genome analysis to obtain a comprehensive understanding of the roles of natural selection and homologous recombination throughout the history of adaptive evolution. Among the 1012 core orthologous genes, we identified 635 genes with recombination signals and 10 genes that showed significant evidence of positive selection. Further functional analyses revealed that no functional bias was found in the recombined genes. Positively selected genes are prone to DNA processing and iron uptake, which are essential for the fundamental life cycle. Overall, the results indicate that both recombination and positive selection play crucial roles in the adaptive evolution ofNeisseriagenomes. The positively selected genes and the corresponding amino acid sites provide us with valuable targets for further research into the detailed mechanisms of adaptive evolution inNeisseria.

scholarly journals A fully integrated machine learning scan of selection in the chimpanzee genome

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Jessica Nye ◽  
Mayukh Mondal ◽  
Jaume Bertranpetit ◽  
Hafid Laayouni
Keyword(s):  
Machine Learning ◽  
Positive Selection ◽  
Demographic History ◽  
Effective Population ◽  
Fully Integrated ◽  
Genome Wide ◽  
A Genome ◽  
Machine Learning Approach ◽  
History Of ◽  
The Impact

Abstract After diverging, each chimpanzee subspecies has been the target of unique selective pressures. Here, we employ a machine learning approach to classify regions as under positive selection or neutrality genome-wide. The regions determined to be under selection reflect the unique demographic and adaptive history of each subspecies. The results indicate that effective population size is important for determining the proportion of the genome under positive selection. The chimpanzee subspecies share signals of selection in genes associated with immunity and gene regulation. With these results, we have created a selection map for each population that can be displayed in a genome browser (www.hsb.upf.edu/chimp_browser). This study is the first to use a detailed demographic history and machine learning to map selection genome-wide in chimpanzee. The chimpanzee selection map will improve our understanding of the impact of selection on closely related subspecies and will empower future studies of chimpanzee.

scholarly journals GWideCodeML: A Python Package for Testing Evolutionary Hypotheses at the Genome-Wide Level

2020 ◽  
Vol 10 (12) ◽  
pp. 4369-4372
Author(s):  
Laura G. Macías ◽  
Eladio Barrio ◽  
Christina Toft
Keyword(s):  
Phylogenetic Analysis ◽  
Maximum Likelihood ◽  
Positive Selection ◽  
Molecular Level ◽  
Variable Number ◽  
Orthologous Genes ◽  
Genome Wide ◽  
A Genome ◽  
One To One ◽  
Python Package

One of the most widely used programs for detecting positive selection, at the molecular level, is the program codeml, which is implemented in the Phylogenetic Analysis by Maximum Likelihood (PAML) package. However, it has a limitation when it comes to genome-wide studies, as it runs on a gene-by-gene basis. Furthermore, the size of such studies will depend on the number of orthologous genes the genomes have income and these are often restricted to only account for instances where a one-to-one relationship is observed between the genomes. In this work, we present GWideCodeML, a Python package, which runs a genome-wide codeml with the option of parallelization. To maximize the number of analyzed genes, the package allows for a variable number of taxa in the alignments and will automatically prune the topology to fit each of them, before running codeml.

scholarly journals Genomic Evidence for Sensorial Adaptations to a Nocturnal Predatory Lifestyle in Owls

2020 ◽  
Vol 12 (10) ◽  
pp. 1895-1908 ◽  
Author(s):  
Pamela Espíndola-Hernández ◽  
Jakob C Mueller ◽  
Martina Carrete ◽  
Stefan Boerno ◽  
Bart Kempenaers
Keyword(s):  
Positive Selection ◽  
Genetic Basis ◽  
Sexual Size Dimorphism ◽  
Coding Regions ◽  
Accelerated Evolution ◽  
Genome Wide ◽  
Ancestral Branch ◽  
A Genome ◽  
History Of ◽  
Reversed Sexual Size Dimorphism

Abstract Owls (Strigiformes) evolved specific adaptations to their nocturnal predatory lifestyle, such as asymmetrical ears, a facial disk, and a feather structure allowing silent flight. Owls also share some traits with diurnal raptors and other nocturnal birds, such as cryptic plumage patterns, reversed sexual size dimorphism, and acute vision and hearing. The genetic basis of some of these adaptations to a nocturnal predatory lifestyle has been studied by candidate gene approaches but rarely with genome-wide scans. Here, we used a genome-wide comparative analysis to test for selection in the early history of the owls. We estimated the substitution rates in the coding regions of 20 bird genomes, including 11 owls of which five were newly sequenced. Then, we tested for functional overrepresentation across the genes that showed signals of selection. In the ancestral branch of the owls, we found traces of positive selection in the evolution of genes functionally related to visual perception, especially to phototransduction, and to chromosome packaging. Several genes that have been previously linked to acoustic perception, circadian rhythm, and feather structure also showed signals of an accelerated evolution in the origin of the owls. We discuss the functions of the genes under positive selection and their putative association with the adaptation to the nocturnal predatory lifestyle of the owls.

scholarly journals Stable DNMT3L overexpression in SH-SY5Y neurons recreates a facet of the genome-wide Down syndrome DNA methylation signature

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Benjamin I. Laufer ◽  
J. Antonio Gomez ◽  
Julia M. Jianu ◽  
Janine M. LaSalle
Keyword(s):  
Dna Methylation ◽  
Down Syndrome ◽  
Neuronal Differentiation ◽  
Molecular Mechanisms ◽  
Cpg Island ◽  
Differential Methylation ◽  
Chromosome 21 ◽  
Pairwise Comparisons ◽  
Genome Wide ◽  
A Genome

Abstract Background Down syndrome (DS) is characterized by a genome-wide profile of differential DNA methylation that is skewed towards hypermethylation in most tissues, including brain, and includes pan-tissue differential methylation. The molecular mechanisms involve the overexpression of genes related to DNA methylation on chromosome 21. Here, we stably overexpressed the chromosome 21 gene DNA methyltransferase 3L (DNMT3L) in the human SH-SY5Y neuroblastoma cell line and assayed DNA methylation at over 26 million CpGs by whole genome bisulfite sequencing (WGBS) at three different developmental phases (undifferentiated, differentiating, and differentiated). Results DNMT3L overexpression resulted in global CpG and CpG island hypermethylation as well as thousands of differentially methylated regions (DMRs). The DNMT3L DMRs were skewed towards hypermethylation and mapped to genes involved in neurodevelopment, cellular signaling, and gene regulation. Consensus DNMT3L DMRs showed that cell lines clustered by genotype and then differentiation phase, demonstrating sets of common genes affected across neuronal differentiation. The hypermethylated DNMT3L DMRs from all pairwise comparisons were enriched for regions of bivalent chromatin marked by H3K4me3 as well as differentially methylated sites from previous DS studies of diverse tissues. In contrast, the hypomethylated DNMT3L DMRs from all pairwise comparisons displayed a tissue-specific profile enriched for regions of heterochromatin marked by H3K9me3 during embryonic development. Conclusions Taken together, these results support a mechanism whereby regions of bivalent chromatin that lose H3K4me3 during neuronal differentiation are targeted by excess DNMT3L and become hypermethylated. Overall, these findings demonstrate that DNMT3L overexpression during neurodevelopment recreates a facet of the genome-wide DS DNA methylation signature by targeting known genes and gene clusters that display pan-tissue differential methylation in DS.

scholarly journals The complete mitochondrial genome of the intertidal spider (Desis jiaxiangi) provides novel insights into the adaptive evolution of the mitogenome and the evolution of spiders

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fan Li ◽  
Yunyun Lv ◽  
Zhengyong Wen ◽  
Chao Bian ◽  
Xinhui Zhang ◽  
...  
Keyword(s):  
Positive Selection ◽  
Adaptive Evolution ◽  
Physiological Activity ◽  
Complete Mitochondrial Genome ◽  
Dynamic Environment ◽  
Data Set ◽  
History Of ◽  
Complete Mitogenome ◽  
Selection Signal ◽  
Positive Selection Signal

Abstract Background Although almost all extant spider species live in terrestrial environments, a few species live fully submerged in freshwater or seawater. The intertidal spiders (genus Desis) built silk nests within coral crevices can survive submerged in high tides. The diving bell spider, Argyroneta aquatica, resides in a similar dynamic environment but exclusively in freshwater. Given the pivotal role played by mitochondria in supplying most energy for physiological activity via oxidative phosphorylation and the environment, herein we sequenced the complete mitogenome of Desis jiaxiangi to investigate the adaptive evolution of the aquatic spider mitogenomes and the evolution of spiders. Results We assembled a complete mitogenome of the intertidal spider Desis jiaxiangi and performed comparative mitochondrial analyses of data set comprising of Desis jiaxiangi and other 45 previously published spider mitogenome sequences, including that of Argyroneta aquatica. We found a unique transposition of trnL2 and trnN genes in Desis jiaxiangi. Our robust phylogenetic topology clearly deciphered the evolutionary relationships between Desis jiaxiangi and Argyroneta aquatica as well as other spiders. We dated the divergence of Desis jiaxiangi and Argyroneta aquatica to the late Cretaceous at ~ 98 Ma. Our selection analyses detected a positive selection signal in the nd4 gene of the aquatic branch comprising both Desis jiaxiangi and Argyroneta aquatica. Surprisingly, Pirata subpiraticus, Hypochilus thorelli, and Argyroneta aquatica each had a higher Ka/Ks value in the 13 PCGs dataset among 46 taxa with complete mitogenomes, and these three species also showed positive selection signal in the nd6 gene. Conclusions Our finding of the unique transposition of trnL2 and trnN genes indicates that these genes may have experienced rearrangements in the history of intertidal spider evolution. The positive selection signals in the nd4 and nd6 genes might enable a better understanding of the spider metabolic adaptations in relation to different environments. Our construction of a novel mitogenome for the intertidal spider thus sheds light on the evolutionary history of spiders and their mitogenomes.

Abstract 12192: MBNL1 Directly Regulates the Alternative Splicing of mRNAs That Promote Myofibroblast Differentiation

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Jennifer Davis ◽  
Michelle Sargent ◽  
Jianjian Shi ◽  
Lei Wei ◽  
Maurice S Swanson ◽  
...  
Keyword(s):  
Alternative Splicing ◽  
Molecular Mechanisms ◽  
Rna Binding ◽  
Transforming Growth Factor ◽  
Ventricular Remodeling ◽  
Cardiac Injury ◽  
Myofibroblast Differentiation ◽  
Genome Wide ◽  
A Genome

Rationale: During the cardiac injury response fibroblasts differentiate into myofibroblasts, a cell type that enhances extracellular matrix production and facilitates ventricular remodeling. To better understand the molecular mechanisms whereby myofibroblasts are generated in the heart we performed a genome-wide screen with 18,000 cDNAs, which identified the RNA-binding protein muscleblind-like splicing regulator 1 (MBNL1), suggesting a novel association between mRNA alternative splicing and the regulation of myofibroblast differentiation. Objective: To determine the mechanism whereby MBNL1 regulates myofibroblast differentiation and the cardiac fibrotic response. Methods and Results: Confirming the results from our genome wide screen, adenoviral-mediated overexpression of MBNL1 promoted transformation of rat cardiac fibroblasts and mouse embryonic fibroblasts (MEFs) into myofibroblasts, similar to the level of conversion obtained by the profibrotic agonist transforming growth factor β (TGFβ). Antithetically, Mbnl1 -/- MEFs were refractory to TGFβ-induced myofibroblast differentiation. MBNL1 expression is induced in transforming fibroblasts in response to TGFβ and angiotensin II. These results were extended in vivo by analysis of dermal wound healing, a process dependent on myofibroblast differentiation and their proper activity. By day 6 control mice had achieved 82% skin wound closure compared with only 40% in Mbnl1 -/- mice. Moreover, Mbnl1 -/- mice had reduced survival following myocardial infarction injury due to defective fibrotic scar formation and healing. High throughput RNA sequencing (RNAseq) and RNA immunoprecipitation revealed that MBNL1 directly regulates the alternative splicing of transcripts for myofibroblast signaling factors and cytoskeletal-assembly elements. Functional analysis of these factors as mediators of MBNL1 activity is also described here. Conclusions: Collectively, our data suggest that MBNL1 coordinates myofibroblast transformation by directly mediating the alternative splicing of an array of mRNAs encoding differentiation-specific signaling transcripts, which then alter the fibroblast proteome for myofibroblast structure and function.

scholarly journals Common genetic risk variants identified in the SPARK cohort implicate DDHD2 as a novel autism risk gene

2020 ◽  
Author(s):  
Nana Matoba ◽  
Dan Liang ◽  
Huaigu Sun ◽  
Nil Aygün ◽  
Jessica C. McAfee ◽  
...  
Keyword(s):  
Gene Regulation ◽  
Association Study ◽  
Genetic Risk ◽  
Molecular Mechanisms ◽  
Autism Spectrum ◽  
Risk Variants ◽  
Genome Wide ◽  
Common Genetic Variants ◽  
A Genome ◽  
Gene Regulatory

AbstractBackgroundAutism spectrum disorder (ASD) is a highly heritable neurodevelopmental disorder. Large genetically informative cohorts of individuals with ASD have led to the identification of three common genome-wide significant (GWS) risk loci to date. However, many more common genetic variants are expected to contribute to ASD risk given the high heritability. Here, we performed a genome-wide association study (GWAS) using the Simons Foundation Powering Autism Research for Knowledge (SPARK) dataset to identify additional common genetic risk factors and molecular mechanisms underlying risk for ASD.MethodsWe performed an association study on 6,222 case-pseudocontrol pairs from SPARK and meta-analyzed with a previous GWAS. We integrated gene regulatory annotations to map non-coding risk variants to their regulated genes. Further, we performed a massively parallel reporter assay (MPRA) to identify causal variant(s) within a novel risk locus.ResultsWe identified one novel GWS locus from the SPARK GWAS. The meta-analysis identified four significant loci, including an additional novel locus. We observed significant enrichment of ASD heritability within regulatory regions of the developing cortex, indicating that disruption of gene regulation during neurodevelopment is critical for ASD risk. The MPRA identified one variant at the novel locus with strong impacts on gene regulation (rs7001340), and expression quantitative trait loci data demonstrated an association between the risk allele and decreased expression of DDHD2 (DDHD domain containing 2) in both adult and pre-natal brains.ConclusionsBy integrating genetic association data with multi-omic gene regulatory annotations and experimental validation, we fine-mapped a causal risk variant and demonstrated that DDHD2 is a novel gene associated with ASD risk.

scholarly journals Each of 3,323 metabolic innovations in the evolution ofE. coliarose through the horizontal transfer of a single DNA segment

2018 ◽  
Vol 116 (1) ◽  
pp. 187-192 ◽  
Author(s):  
Tin Yau Pang ◽  
Martin J. Lercher
Keyword(s):  
E Coli ◽  
New Genes ◽  
Metabolic Adaptations ◽  
Genome Wide ◽  
A Genome ◽  
Individual Strain ◽  
History Of ◽  
Phenotype Space ◽  
Genome Content ◽  
Metabolic Models

Even closely related prokaryotes often show an astounding diversity in their ability to grow in different nutritional environments. It has been hypothesized that complex metabolic adaptations—those requiring the independent acquisition of multiple new genes—can evolve via selectively neutral intermediates. However, it is unclear whether this neutral exploration of phenotype space occurs in nature, or what fraction of metabolic adaptations is indeed complex. Here, we reconstruct metabolic models for the ancestors of a phylogeny of 53Escherichia colistrains, linking genotypes to phenotypes on a genome-wide, macroevolutionary scale. Based on the ancestral and extant metabolic models, we identify 3,323 phenotypic innovations in the history of theE. coliclade that arose through changes in accessory genome content. Of these innovations, 1,998 allow growth in previously inaccessible environments, while 1,325 increase biomass yield. Strikingly, every observed innovation arose through the horizontal acquisition of a single DNA segment less than 30 kb long. Although we found no evidence for the contribution of selectively neutral processes, 10.6% of metabolic innovations were facilitated by horizontal gene transfers on earlier phylogenetic branches, consistent with a stepwise adaptation to successive environments. Ninety-eight percent of metabolic phenotypes accessible to the combinedE. colipangenome can be bestowed on any individual strain by transferring a single DNA segment from one of the extant strains. These results demonstrate an amazing ability of theE. colilineage to adapt to novel environments through single horizontal gene transfers (followed by regulatory adaptations), an ability likely mirrored in other clades of generalist bacteria.

scholarly journals Patterns of genome-wide allele-specific expression in hybrid rice and the implications on the genetic basis of heterosis

2019 ◽  
Vol 116 (12) ◽  
pp. 5653-5658 ◽  
Author(s):  
Lin Shao ◽  
Feng Xing ◽  
Conghao Xu ◽  
Qinghua Zhang ◽  
Jian Che ◽  
...  
Keyword(s):  
Genetic Basis ◽  
Molecular Mechanisms ◽  
Sequencing Data ◽  
Specific Expression ◽  
Allele Specific Expression ◽  
Parental Allele ◽  
Genetic Components ◽  
Genome Wide ◽  
A Genome ◽  
Allele Specific

Utilization of heterosis has greatly increased the productivity of many crops worldwide. Although tremendous progress has been made in characterizing the genetic basis of heterosis using genomic technologies, molecular mechanisms underlying the genetic components are much less understood. Allele-specific expression (ASE), or imbalance between the expression levels of two parental alleles in the hybrid, has been suggested as a mechanism of heterosis. Here, we performed a genome-wide analysis of ASE by comparing the read ratios of the parental alleles in RNA-sequencing data of an elite rice hybrid and its parents using three tissues from plants grown under four conditions. The analysis identified a total of 3,270 genes showing ASE (ASEGs) in various ways, which can be classified into two patterns: consistent ASEGs such that the ASE was biased toward one parental allele in all tissues/conditions, and inconsistent ASEGs such that ASE was found in some but not all tissues/conditions, including direction-shifting ASEGs in which the ASE was biased toward one parental allele in some tissues/conditions while toward the other parental allele in other tissues/conditions. The results suggested that these patterns may have distinct implications in the genetic basis of heterosis: The consistent ASEGs may cause partial to full dominance effects on the traits that they regulate, and direction-shifting ASEGs may cause overdominance. We also showed that ASEGs were significantly enriched in genomic regions that were differentially selected during rice breeding. These ASEGs provide an index of the genes for future pursuit of the genetic and molecular mechanism of heterosis.

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