Identification of Horizontal Gene Transfer from Phylogenetic Gene Trees

We suggest a new procedure to search for the genes with horizontal transfer events in their evolutionary history. The search is based on analysis of topology difference between the phylogenetic trees of gene (protein) groups and the corresponding phylogenetic species trees. Numeric values are introduced to measure the discrepancy between the trees. This approach was applied to analyze 40 prokaryotic genomes classified into 132 classes of orthologs. This resulted in a list of the candidate genes for which the hypothesis of horizontal transfer in evolution looks true.     

SpeciesRax: A Tool for Maximum Likelihood Species Tree Inference from Gene Family Trees under Duplication,Transfer, and Loss

Species tree inference from gene family trees is becoming increasingly popular because it can account for discordance between the species tree and the corresponding gene family trees. In particular, methods that can account for multiple-copy gene families exhibit potential to leverage paralogy as informative signal. At present, there does not exist any widely adopted inference method for this purpose. Here, we present SpeciesRax, the first maximum likelihood method that can infer a rooted species tree from a set of gene family trees and can account for gene duplication, loss, and transfer events. By explicitly modeling events by which gene trees can depart from the species tree, SpeciesRax leverages the phylogenetic rooting signal in gene trees. SpeciesRax infers species tree branch lengths in units of expected substitutions per site and branch support values via paralogy-aware quartets extracted from the gene family trees. Using both empirical and simulated data sets we show that SpeciesRax is at least as accurate as the best competing methods while being one order of magnitude faster on large data sets at the same time. We used SpeciesRax to infer a biologically plausible rooted phylogeny of the vertebrates comprising 188 species from 31,612 gene families in 1 h using 40 cores. SpeciesRax is available under GNU GPL at https://github.com/BenoitMorel/GeneRax and on BioConda.     

Exploration and grading of possible genes from 183 bacterial strains by a common protocol to identification of new genes: Gene Trek in Prokaryote Space (GTPS).

A large number of complete microorganism genomes has been sequenced and submitted to the public database and then incorporated into our complete genome database, Genome Information Broker (GIB, http://gib.genes.nig.ac.jp/). However, when comparative genomics is carried out, researchers must be aware that there are protein-coding genes not confirmed by homology or motif search and that reliable protein-coding genes are missing. Therefore, we developed a protocol (Gene Trek in Prokaryote Space, GTPS) for finding possible protein-coding genes in bacterial genomes. GTPS assigns a degree of reliability to predicted protein-coding genes. We first systematically applied the protocol to the complete genomes of all 123 bacterial species and strains that were publicly available as of July 2003, and then to those of 183 species and strains available as of September 2004. We found a number of incorrect genes and several new ones in the genome data in question. We also found a way to estimate the total number of orthologous genes in the bacterial world.     

Polar Gini Curve: A Technique to Discover Gene Expression Spatial Patterns from Single-cell RNA-seq Data

In this work, we describe the development of Polar Gini Curve, a method for characterizing cluster markers by analyzing single-cell RNA sequencing (scRNA-seq) data. Polar Gini Curve combines the gene expression and the 2D coordinates ("spatial") information to detect patterns of uniformity in any clustered cells from scRNA-seq data. We demonstrate that Polar Gini Curve can help users characterize the shape and density distribution of cells in a particular cluster, which can be generated during routine scRNA-seq data analysis. To quantify the extent to which a gene is uniformly distributed in a cell cluster space, we combine two polar Gini curves (PGCs)—one drawn upon the cell-points expressing the gene (the"foreground curve") and the other drawn upon all cell-points in the cluster (the"background curve"). We show that genes with highly dissimilar foreground and background curves tend not to uniformly distributed in the cell cluster—thus having spatially divergent gene expression patterns within the cluster. Genes with similar foreground and background curves tend to uniformly distributed in the cell cluster—thus having uniform gene expression patterns within the cluster. Such quantitative attributes of PGCs can be applied to sensitively discover biomarkers across clusters from scRNA-seq data. We demonstrate the performance of the Polar Gini Curve framework in several simulation case studies. Using this framework to analyze a real-world neonatal mouse heart cell dataset, the detected biomarkers may characterize novel subtypes of cardiac muscle cells. The source code and data for Polar Gini Curve could be found at http://discovery.informatics.uab.edu/PGC/ or https://figshare.com/projects/Polar_Gini_Curve/76749.     

TREEasy: An automated workflow to infer gene trees,species trees,and phylogenetic networks from multilocus data

Multilocus genomic data sets can be used to infer a rich set of information about the evolutionary history of a lineage, including gene trees, species trees, and phylogenetic networks. However, user‐friendly tools to run such integrated analyses are lacking, and workflows often require tedious reformatting and handling time to shepherd data through a series of individual programs. Here, we present a tool written in Python—TREEasy—that performs automated sequence alignment (with MAFFT), gene tree inference (with IQ‐Tree), species inference from concatenated data (with IQ‐Tree and RaxML‐NG), species tree inference from gene trees (with ASTRAL, MP‐EST, and STELLS2), and phylogenetic network inference (with SNaQ and PhyloNet). The tool only requires FASTA files and nine parameters as inputs. The tool can be run as command line or through a Graphical User Interface (GUI). As examples, we reproduced a recent analysis of staghorn coral evolution, and performed a new analysis on the evolution of the “WGD clade” of yeast. The latter revealed novel patterns that were not identified by previous analyses. TREEasy represents a reliable and simple tool to accelerate research in systematic biology ( https://github.com/MaoYafei/TREEasy ).     

HPLC/HR-MS-Based Metabolite Profiling and Chemometrics: A Powerful Approach to Identify Bioactive Compounds from Abarema cochliacarpos

Despite its importance as a medicinal plant, there is a lack of studies that assessed the chemical composition of A. cochliacarpos extracts. Herein, we used a metabolite profiling approach and chemometrics as a powerful strategy to correlate the chemical composition with the antioxidant activity of A. cochliacarpos extracts. Extracts obtained with ethyl acetate showed greater antioxidant activity and higher total phenolic content than extracts obtained with hexane. The chemical composition was assessed by HPLC/HR-MS and it encompassed fatty alcohols, terpenoids, phenolic derivatives, lipids, carotenoid-like compounds, alkaloids, flavonoids, polyketides, and glycerophospholipids. Chemometrics successfully differentiated not only the chemical composition of extracts in response to the nature of the extraction solvent and the botanical part used during extraction but also it allowed us to associate the chemical composition with the antioxidant activity of the extracts, which might be particularly helpful for drug discovery and development programs.     

A revised key to Stenhelia {Stenhelia) (Copepoda: Harpacticoida) including two new species from the Pacific*

Two new Stenhelia (Stenhelia) species are described: 5. (S.) diegensis from 1200 m depth in San Diego Trough, California and 5. (S.) asetosa from the intertidal of Nanaimo Estuary, British Columbia. S. (S.) diegensis differs from previously known species in having but one seta on the terminal segment of the P, endopod. 5. (S.) asetosa lacks inner setae on the first segments of the P₂–P, exopods. A table listing the salient morphological features of the species of Stenhelia (Stenhelia) is given as is a new key to the subgenus.     

Using the Gene Ontology for Microarray Data Mining: A Comparison of Methods and Application to Age Effects in Human Prefrontal Cortex

One of the challenges in the analysis of gene expression data is placing the results in the context of other data available about genes and their relationships to each other. Here, we approach this problem in the study of gene expression changes associated with age in two areas of the human prefrontal cortex, comparing two computational methods. The first method, "overrepresentation analysis" (ORA), is based on statistically evaluating the fraction of genes in a particular gene ontology class found among the set of genes showing age-related changes in expression. The second method, "functional class scoring" (FCS), examines the statistical distribution of individual gene scores among all genes in the gene ontology class and does not involve an initial gene selection step. We find that FCS yields more consistent results than ORA, and the results of ORA depended strongly on the gene selection threshold. Our findings highlight the utility of functional class scoring for the analysis of complex expression data sets and emphasize the advantage of considering all available genomic information rather than sets of genes that pass a predetermined "threshold of significance."     

根系功能性状对干瘠立地适应的种间差异——以北京石质山地主要观赏树种为例

分析干瘠立地中不同树种根功能性状的变化及差异,研究不同树种对干瘠环境的适应对策。试验材料为林龄、林分密度相对一致的石质山区主要观赏树种（黄栌、山桃、栓皮栎）,采用挖掘法获取树木细根,测定细根形态参数。根据田间持水量和石砾含量分别设置4个干瘠梯度（轻度、中度、重度、极度）,对比分析北京干瘠地3种树种根功能性状,探讨干瘠立地中不同树种根系形态的差异及其对特殊生境的适应。结果表明：干旱、瘠薄均对树木的根功能性状产生影响,但对不同性状以及不同树种的影响程度具有差异,其中对山桃根系的影响最大;3种树种根功能性状在不同干瘠等级下存在显著变化,同一性状的变化因树种不同而异。从轻度到极度干旱,3种树种的RL均逐渐减小,但是黄栌变化不显著;黄栌、栓皮栎RTD随干瘠的加剧而减小,而山桃随干瘠的加剧而增加;黄栌和山桃SRL随干旱、瘠薄的加剧,表现出一致的规律,即从轻度到极度,其SRL随即减小,而栓皮栎SRL随干旱、瘠薄的加剧而增大;随干瘠的加剧,黄栌SRA显著减小,山桃、栓皮栎SRA随干瘠的加剧而增大。树木对干瘠环境的变化都有一定的响应能力及适应对策,能够通过自身的形态变化来适应不断变化的环境,但不同物种对干瘠环境变化的适应途径不同,通过权衡碳分配、碳消耗采取了相应的生态适应策略,不同树种间存在明显差异。本研究3种树种中,黄栌在干瘠环境下根系性状变化不显著,耐干瘠能力较强;干瘠胁迫对山桃根系性状影响显著,山桃通过主动调节根系形态变化来适应不断变化的环境,具有较强的抗干瘠能力;栓皮栎的细根数量多,吸收土壤水分、养分能力较强,能够在干瘠环境中快速生长。     

A reverse genetics and genomics approach to gene paralog function and disease: Myokymia and the juxtaparanode

1. Download : Download high-res image (221KB)
2. Download : Download full-size image

     

A sequence from drosophila DNA cross-hybridizing with a mouse class I H-2 Gene: absence of relevant nucleic acid or amino acid sequence homology

Following serological data (1) showing cross-reactivity of drosophila surface antigens with anti-H-2 and mouse beta 2-microglobulin (beta 2-m) antisera, we have looked for homologous sequences in the drosophila genome by low stringency hybridization with mouse H-2 and beta 2-m probes. A 240 bp drosophila DNA segment cross-hybridizing with a H-2 probe, was isolated and sequenced. No homology at the nucleotide or amino acid levels was found with the mouse probe which was used, except for a perfectly matching 16-mer containing 11 G-C, which might be responsible for the cross-hybridization. Therefore, our present data do not support the existence of class I H-2 and/or beta 2-m related gene sequences in the drosophila genome.     

A Frailty‐Model‐Based Approach to Estimating the Age‐Dependent Penetrance Function of Candidate Genes Using Population‐Based Case‐Control Study Designs: An Application to Data on the BRCA1 Gene

Summary The population‐based case–control study design is perhaps one of, if not the most, commonly used designs for investigating the genetic and environmental contributions to disease risk in epidemiological studies. Ages at onset and disease status of family members are routinely and systematically collected from the participants in this design. Considering age at onset in relatives as an outcome, this article is focused on using the family history information to obtain the hazard function, i.e., age‐dependent penetrance function, of candidate genes from case–control studies. A frailty‐model‐based approach is proposed to accommodate the shared risk among family members that is not accounted for by observed risk factors. This approach is further extended to accommodate missing genotypes in family members and a two‐phase case–control sampling design. Simulation results show that the proposed method performs well in realistic settings. Finally, a population‐based two‐phase case–control breast cancer study of the BRCA1 gene is used to illustrate the method.     

A Simple and Rapid PCR-based Method to Isolate Complete Small Macronuclear Minichromosomes from Hypotrich Ciliates: 5S rDNA and S26 Ribosomal Protein Gene of Oxytricha (Sterkiella) nova

Hypotrich ciliates present a macronuclear genome consisting of gene-sized instead of chromosome-sized DNA molecules. Exploiting this unique eukaryotic genome feature, we introduce, for the first time in ciliates, a rapid and easy PCR method using telomeric primers to isolate small complete macronuclear DNA molecules or minichromosomes. Two presumably abundant macronuclear DNA molecules, containing ribosomal genes, were amplified from the Oxytricha (Sterkiella) nova complete genome after using this method, and then were cloned and sequenced. The 5S rDNA sequence of O. (S.) nova is the third one reported among hypotrich ciliates; its primary and secondary structure is compared with other eukaryotic 5S rRNAs. The ribosomal protein S26 gene is the first one reported among ciliates. This “End-End-PCR” method might be useful to obtain similar gene-sized macronuclear molecules from other hypotrich ciliates, and, therefore, to increase our knowledge on ribosomal genes in these eukaryotic microorganisms.     

Inheritance of resistance to potato viruses Y and A in progeny obtained from potato cultivars containing gene Ry:evidence for a new gene for extreme resistance to PVA

Extreme resistance in cultivated potato (Solanum tuberosum) to potato viruses Y and A (PVY and PVA) conditioned by the presence of Ry genes introduced from Solanum stoloniferum was described by Cockerham (1970). Cockerham detailed a number of genes which controlled a variety of reactions, including extreme resistance to both viruses (i.e. little or no visible reaction of plants and no viral replication following graft and manual inoculation) controlled by gene Ry _sto. In the present study, cvs Pirola and Barbara, which contain a Ry gene, were found to have extreme resistance to PVY isolates from the ordinary (PVY°), veinal necrosis (PVY^N) and potato tuber necrotic ringspot (PVY^NTN) subgroups, and PVA. The inheritance of this phenotype was examined in seedling progenies obtained by crossing Barbara and Pirola with susceptible cultivars. Segregation data for resistance to PVY and PVA in a progeny involving cv Pirola best fitted a genetical model of one gene controlling extreme resistance to both PVY and PVA, although the possibility that there are two genes, each controlling resistance to one virus but closely linked, cannot be excluded. Segregation data from progenies involving cv Barbara best fitted a genetical model in which there are two independent genes, one controlling extreme resistance to PVA and PVY and a second gene controlling extreme resistance to PVA but not to PVY. This previously unrecognised gene conferring extreme resistance to PVA only, should be given the notation Ra in keeping with nomenclature used for other resistance genes.     

Cholesterol metabolism: from lipidomics to immunology

Oxysterols, the oxidized forms of cholesterol or of its precursors, are formed in the first steps of cholesterol metabolism. Oxysterols have interested chemists, biologists, and physicians for many decades, but their exact biological relevance in vivo, other than as intermediates in bile acid biosynthesis, has long been debated. However, in the first quarter of this century, a role for side-chain oxysterols and their C-7 oxidized metabolites has been convincingly established in the immune system. 25-Hydroxycholesterol has been shown to be synthesized by macrophages in response to the activation of Toll-like receptors and to offer protection against microbial pathogens, whereas 7α,25-dihydroxycholesterol has been shown to act as a chemoattractant to lymphocytes expressing the G protein-coupled receptor Epstein-Barr virus-induced gene 2 and to be important in coordinating the action of B cells, T cells, and dendritic cells in secondary lymphoid tissue. There is a growing body of evidence that not only these two oxysterols but also many of their isomers are of importance to the proper function of the immune system. Here, we review recent findings related to the roles of oxysterols in immunology.     

The H-ATP synthase: A gate to ROS-mediated cell death or cell survival

Cellular oxidative stress results from the increased generation of reactive oxygen species and/or the dysfunction of the antioxidant systems. Most intracellular reactive oxygen species derive from superoxide radical although the majority of the biological effects of reactive oxygen species are mediated by hydrogen peroxide. In this contribution we overview the major cellular sites of reactive oxygen species production, with special emphasis in the mitochondrial pathways. Reactive oxygen species regulate signaling pathways involved in promoting survival and cell death, proliferation, metabolic regulation, the activation of the antioxidant response, the control of iron metabolism and Ca^2 + signaling. The reversible oxidation of cysteines in transducers of reactive oxygen species is the primary mechanism of regulation of the activity of these proteins. Next, we present the mitochondrial H⁺-ATP synthase as a core hub in energy and cell death regulation, defining both the rate of energy metabolism and the reactive oxygen species-mediated cell death in response to chemotherapy. Two main mechanisms that affect the expression and activity of the H⁺-ATP synthase down-regulate oxidative phosphorylation in prevalent human carcinomas. In this context, we emphasize the prominent role played by the ATPase Inhibitory Factor 1 in human carcinogenesis as an inhibitor of the H⁺-ATP synthase activity and a mediator of cell survival. The ATPase Inhibitory Factor 1 promotes metabolic rewiring to an enhanced aerobic glycolysis and the subsequent production of mitochondrial reactive oxygen species. The generated reactive oxygen species are able to reprogram the nucleus to support tumor development by arresting cell death. Overall, we discuss the cross-talk between reactive oxygen species signaling and mitochondrial function that is crucial in determining the cellular fate. This article is part of a Special Issue entitled: 18th European Bioenergetic Conference.