Horizontal gene transfer accelerates genome innovation and evolution

Horizontal gene transfer (HGT) spreads genetic diversity by moving genes across species boundaries. By rapidly introducing newly evolved genes into existing genomes, HGT circumvents the slow step of ab initio gene creation and accelerates genome innovation. However, HGT can only affect organisms that readily exchange genes (exchange communities). In order to define exchange communities and understand the internal and external environmental factors that regulate HGT, we analyzed approximately 20,000 genes contained in eight free-living prokaryotic genomes. These analyses indicate that HGT occurs among organisms that share similar factors. The most significant are genome size, genome G/C composition, carbon utilization, and oxygen tolerance.     

The practice of classification and the theory of evolution,and what the demise of Charles Darwin's tree of life hypothesis means for both of them

Debates over the status of the tree of life (TOL) often proceed without agreement as to what it is supposed to be: a hierarchical classification scheme, a tracing of genomic and organismal history or a hypothesis about evolutionary processes and the patterns they can generate. I will argue that for Darwin it was a hypothesis, which lateral gene transfer in prokaryotes now shows to be false. I will propose a more general and relaxed evolutionary theory and point out why anti-evolutionists should take no comfort from disproof of the TOL hypothesis.     

Identification and categorization of horizontally transferred genes in prokaryotic genomes

Horizontal gene transfer （HGT）, a process through which genomes acquire genetic materials from distantly related organisms, is believed to be one of the major forces in prokaryotic genome evolution.However, systematic investigation is still scarce to clarify two basic issues about HGT： （1） what types of genes are transferred; and （2） what influence HGT events over the organization and evolution of biological pathways. Genome-scale investigations of these two issues will advance the systematical understanding of HGT in the context of prokaryotic genome evolution. Having investigated 82 genomes, we constructed an HGT database across broad evolutionary timescales. We identified four function categories containing a high proportion of horizontally transferred genes： cell envelope, energy metabolism, regulatory functions, and transport/binding proteins. Such biased function distribution indicates that HGT is not completely random;instead, it is under high selective pressure, required by function restraints in organisms. Furthermore, we mapped the transferred genes onto the connectivity structure map of organism-specific pathways listed in Kyoto Encyclopedia of Genes and Genomes （KEGG）. Our results suggest that recruitment of transferred genes into pathways is also selectively constrained because of the tuned interaction between original pathway members. Pathway organization structures still conserve well through evolution even with the recruitment of horizontally transferred genes. Interestingly, in pathways whose organization were significantly affected by HGT events, the operon-like arrangement of transferred genes was found to be prevalent. Such results suggest that operon plays an essential and directional role in the integration of alien genes into pathways.     

Lateral genetic transfer: open issues

Lateral genetic transfer (LGT) is an important adaptive force in evolution, contributing to metabolic, physiological and ecological innovation in most prokaryotes and some eukaryotes. Genomic sequences and other data have begun to illuminate the processes, mechanisms, quantitative extent and impact of LGT in diverse organisms, populations, taxa and environments; deep questions are being posed, and the provisional answers sometimes challenge existing paradigms. At the same time, there is an enhanced appreciation of the imperfections, biases and blind spots in the data and in analytical approaches. Here we identify and consider significant open questions concerning the role of LGT in genome evolution.     

Current approaches to whole genome phylogenetic analysis

It has long been known that evolutionary trees (phylogenies) can be estimated by comparing the DNA or protein sequences of homologous genes across different organisms. More recently, attempts have been made to estimate phylogenies by comparing entire genomes. These attempts have focused largely on comparisons of gene content and gene order. Many different methods have been proposed for making these comparisons. These include primarily maximum parsimony and distance methods, although more recently maximum likelihood and Bayesian methods are being developed. This paper discusses each of these approaches in turn, including their merits and limitations, and any software which is available to make use of them.     

The fate of new bacterial genes

Bacteria experience a continual influx of novel genetic material from a wide range of sources and yet their genomes remain relatively small. This aspect of bacterial evolution indicates that most newly arriving sequences are rapidly eliminated; however, numerous new genes persist, as evident from the presence of unique genes in almost all bacterial genomes. This review summarizes the methods for identifying new genes in bacterial genomes and examines the features that promote the retention and elimination of these evolutionary novelties.     

The evolutionary origin of Xanthomonadales genomes and the nature of the horizontal gene transfer process

Determining the influence of horizontal gene transfer (HGT) on phylogenomic analyses and the retrieval of a tree of life is relevant for our understanding of microbial genome evolution. It is particularly difficult to differentiate between phylogenetic incongruence due to noise and that resulting from HGT. We have performed a large-scale, detailed evolutionary analysis of the different phylogenetic signals present in the genomes of Xanthomonadales, a group of Proteobacteria. We show that the presence of phylogenetic noise is not an obstacle to infer past and present HGTs during their evolution. The scenario derived from this analysis and other recently published reports reflect the confounding effects on bacterial phylogenomics of past and present HGT. Although transfers between closely related species are difficult to detect in genome-scale phylogenetic analyses, past transfers to the ancestor of extant groups appear as conflicting signals that occasionally might make impossible to determine the evolutionary origin of the whole genome.     

Very little intron gain in Entamoeba histolytica genes laterally transferred from prokaryotes

The evolution of spliceosomal introns remains intensely debated. We studied 96 Entamoeba histolytica genes previously identified as having been laterally transferred from prokaryotes, which were presumably intronless at the time of transfer. Ninety out of the 96 are also present in the reptile parasite Entamoeba invadens, indicating lateral transfer before the species' divergence approximately 50 MYA. We find only 2 introns, both shared with E. invadens. Thus, no intron gains have occurred in approximately 50 Myr, implying a very low rate of intron gain of less than one gain per gene per approximately 4.5 billion years. Nine other predicted introns are due to annotation errors reflecting apparent mistakes in the E. histolytica genome assembly. These results underscore the massive differences in intron gain rates through evolution.     

Systematic Detection of Large-Scale Multigene Horizontal Transfer in Prokaryotes

Horizontal gene transfer (HGT) is central to prokaryotic evolution. However, little is known about the “scale” of individual HGT events. In this work, we introduce the first computational framework to help answer the following fundamental question: How often does more than one gene get horizontally transferred in a single HGT event? Our method, called HoMer, uses phylogenetic reconciliation to infer single-gene HGT events across a given set of species/strains, employs several techniques to account for inference error and uncertainty, combines that information with gene order information from extant genomes, and uses statistical analysis to identify candidate horizontal multigene transfers (HMGTs) in both extant and ancestral species/strains. HoMer is highly scalable and can be easily used to infer HMGTs across hundreds of genomes. We apply HoMer to a genome-scale data set of over 22,000 gene families from 103 Aeromonas genomes and identify a large number of plausible HMGTs of various scales at both small and large phylogenetic distances. Analysis of these HMGTs reveals interesting relationships between gene function, phylogenetic distance, and frequency of multigene transfer. Among other insights, we find that 1) the observed relative frequency of HMGT increases as divergence between genomes increases, 2) HMGTs often have conserved gene functions, and 3) rare genes are frequently acquired through HMGT. We also analyze in detail HMGTs involving the zonula occludens toxin and type III secretion systems. By enabling the systematic inference of HMGTs on a large scale, HoMer will facilitate a more accurate and more complete understanding of HGT and microbial evolution.     

The Neighborhood of the Spike Gene Is a Hotspot for Modular Intertypic Homologous and Nonhomologous Recombination in Coronavirus Genomes

Coronaviruses (CoVs) have very large RNA viral genomes with a distinct genomic architecture of core and accessory open reading frames (ORFs). It is of utmost importance to understand their patterns and limits of homologous and nonhomologous recombination, because such events may affect the emergence of novel CoV strains, alter their host range, infection rate, tissue tropism pathogenicity, and their ability to escape vaccination programs. Intratypic recombination among closely related CoVs of the same subgenus has often been reported; however, the patterns and limits of genomic exchange between more distantly related CoV lineages (intertypic recombination) need further investigation. Here, we report computational/evolutionary analyses that clearly demonstrate a substantial ability for CoVs of different subgenera to recombine. Furthermore, we show that CoVs can obtain—through nonhomologous recombination—accessory ORFs from core ORFs, exchange accessory ORFs with different CoV genera, with other viruses (i.e., toroviruses, influenza C/D, reoviruses, rotaviruses, astroviruses) and even with hosts. Intriguingly, most of these radical events result from double crossovers surrounding the Spike ORF, thus highlighting both the instability and mobile nature of this genomic region. Although many such events have often occurred during the evolution of various CoVs, the genomic architecture of the relatively young SARS-CoV/SARS-CoV-2 lineage so far appears to be stable.     

原核生物eno基因在系统进化中应用及水平转移分析

多基因系统发育研究方法是系统发育分析中的一个重要手段,基因树冲突已成为分子系统发育研究中日益突出的问题。烯醇化酶基因(eno)及其编码的蛋白广泛存在于五界系统中,烯醇化酶为糖酵解途径中重要酶类。文章选取原核生物已注释的eno基因序列进行了系统发育分析。对其中的138个模式菌株的eno基因序列进行系统发育分析和同源性搜索,发现19个模式菌株的eno基因是通过水平转移而来;并通过核苷酸组成、密码子偏好性和基因排列等基因特征分析,进一步验证了水平转移基因的外源性。结果表明:原核生物eno序列具有较高保守性,其大小适中,是研究原核生物系统发育的良好材料。文章在对基因水平转移的供体和受体菌株生活习性、进化历史以及烯醇化酶的结构和功能的研究过程中提供重要参考价值。     

Detecting horizontal gene transfer with T-REX and RHOM programs

As the Human Genome Project and other genome projects experience remarkable success and a flood of biological data is produced by means of high-throughout sequencing techniques, detection of horizontal gene transfer (HGT) becomes a promising field in bioinformatics. This review describes two freeware programs: T-REX for MS Windows and RHOM for Linux. T-REX is a graphical user interface program that offers functions to reconstruct the HGT network among the donor and receptor hosts from the gene and species distance matrices. RHOM is a set of command-line driven programs used to detect HGT in genomes. While T-REX impresses with a user-friendly interface and drawing of the reticulation network, the strength of RHOM is an extensive statistical framework of genome and the graphical display of the estimated sequence position probabilities for the candidate horizontally transferred genes.     

Frequent,independent transfers of a catabolic gene from bacteria to contrasted filamentous eukaryotes

Even genetically distant prokaryotes can exchange genes between them, and these horizontal gene transfer events play a central role in adaptation and evolution. While this was long thought to be restricted to prokaryotes, certain eukaryotes have acquired genes of bacterial origin. However, gene acquisitions in eukaryotes are thought to be much less important in magnitude than in prokaryotes. Here, we describe the complex evolutionary history of a bacterial catabolic gene that has been transferred repeatedly from different bacterial phyla to stramenopiles and fungi. Indeed, phylogenomic analysis pointed to multiple acquisitions of the gene in these filamentous eukaryotes—as many as 15 different events for 65 microeukaryotes. Furthermore, once transferred, this gene acquired introns and was found expressed in mRNA databases for most recipients. Our results show that effective inter-domain transfers and subsequent adaptation of a prokaryotic gene in eukaryotic cells can happen at an unprecedented magnitude.     

Inferring phylogenetic networks by the maximum parsimony criterion: a case study

Horizontal gene transfer (HGT) may result in genes whose evolutionary histories disagree with each other, as well as with the species tree. In this case, reconciling the species and gene trees results in a network of relationships, known as the "phylogenetic network" of the set of species. A phylogenetic network that incorporates HGT consists of an underlying species tree that captures vertical inheritance and a set of edges which model the "horizontal" transfer of genetic material. In a series of papers, Nakhleh and colleagues have recently formulated a maximum parsimony (MP) criterion for phylogenetic networks, provided an array of computationally efficient algorithms and heuristics for computing it, and demonstrated its plausibility on simulated data. In this article, we study the performance and robustness of this criterion on biological data. Our findings indicate that MP is very promising when its application is extended to the domain of phylogenetic network reconstruction and HGT detection. In all cases we investigated, the MP criterion detected the correct number of HGT events required to map the evolutionary history of a gene data set onto the species phylogeny. Furthermore, our results indicate that the criterion is robust with respect to both incomplete taxon sampling and the use of different site substitution matrices. Finally, our results show that the MP criterion is very promising in detecting HGT in chimeric genes, whose evolutionary histories are a mix of vertical and horizontal evolution. Besides the performance analysis of MP, our findings offer new insights into the evolution of 4 biological data sets and new possible explanations of HGT scenarios in their evolutionary history.     

Synechococcus: 3 billion years of global dominance

Cyanobacteria are among the most important primary producers on the Earth. However, the evolutionary forces driving cyanobacterial species diversity remain largely enigmatic due to both their distinction from macro‐organisms and an undersampling of sequenced genomes. Thus, we present a new genome of a Synechococcus‐like cyanobacterium from a novel evolutionary lineage. Further, we analyse all existing 16S rRNA sequences and genomes of Synechococcus‐like cyanobacteria. Chronograms showed extremely polyphyletic relationships in Synechococcus, which has not been observed in any other cyanobacteria. Moreover, most Synechococcus lineages bifurcated after the Great Oxidation Event, including the most abundant marine picoplankton lineage. Quantification of horizontal gene transfer among 70 cyanobacterial genomes revealed significant differences among studied genomes. Horizontal gene transfer levels were not correlated with ecology, genome size or phenotype, but were correlated with the age of divergence. All findings were synthetized into a novel model of cyanobacterial evolution, characterized by serial convergence of the features, that is multicellularity and ecology.     

An integrative method for identifying the over-annotated protein-coding genes in microbial genomes

The falsely annotated protein-coding genes have been deemed one of the major causes accounting for the annotating errors in public databases. Although many filtering approaches have been designed for the over-annotated protein-coding genes, some are questionable due to the resultant increase in false negative. Furthermore, there is no webserver or software specifically devised for the problem of over-annotation. In this study, we propose an integrative algorithm for detecting the over-annotated protein-coding genes in microorganisms. Overall, an average accuracy of 99.94% is achieved over 61 microbial genomes. The extremely high accuracy indicates that the presented algorithm is efficient to differentiate the protein-coding genes from the non-coding open reading frames. Abundant analyses show that the predicting results are reliable and the integrative algorithm is robust and convenient. Our analysis also indicates that the over-annotated protein-coding genes can cause the false positive of horizontal gene transfers detection. The webserver of the proposed algorithm can be freely accessible from www.cbi.seu.edu.cn/RPGM.     

Dealing with incongruence in phylogenomic analyses

Incongruence between gene trees is the main challenge faced by phylogeneticists in the genomic era. Incongruence can occur for artefactual reasons, when we fail to recover the correct gene trees, or for biological reasons, when true gene trees are actually distinct from each other, and from the species tree. Horizontal gene transfers (HGTs) between genomes are an important process of bacterial evolution resulting in a substantial amount of phylogenetic conflicts between gene trees. We argue that the (bacterial) species tree is still a meaningful scientific concept even in the case of HGTs, and that reconstructing it is still a valid goal. We tentatively assess the amount of phylogenetic incongruence caused by HGTs in bacteria by comparing bacterial datasets to a metazoan dataset in which transfers are presumably very scarce or absent.We review existing phylogenomic methods and their ability to return to the user, both the vertical (speciation/extinction history) and horizontal (gene transfers) phylogenetic signals.     

Identification of Ancestral Genes That Introduce Incongruence between Protein- and Species Trees

Two new approaches to detecting potential incongruence between a protein family tree and a species tree are considered. The first approach is based on the substitution of a known mapping of the gene tree G into the species tree S with a somewhat analogous multivalued G-into-S mapping. The second approach is based on the elementary concepts of the fuzzy set theory. Two algorithms corresponding to these approaches are described in detail, and their implementation is shown using a simulation example and three protein families from the database of clusters of orthologous protein groups (COGs).