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.     

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.     

Laterally transferred genomic islands in Xanthomonadales related to pathogenicity and primary metabolism.

Lateral gene transfer (LGT) is considered as one of the drivers in bacterial genome evolution, usually associated with increased fitness and/or changes in behavior, especially if one considers pathogenic vs. non-pathogenic bacterial groups. The genomes of two phytopathogens, Xanthomonas campestris pv. campestris and Xanthomonas axonopodis pv. citri, were previously inspected for genome islands originating from LGT events, and, in this work, potentially early and late LGT events were identified according to their altered nucleotide composition. The biological role of the islands was also assessed, and pathogenicity, virulence and secondary metabolism pathways were functions highly represented, especially in islands that were found to be recently transferred. However, old islands are composed of a high proportion of genes related to cell primary metabolic functions. These old islands, normally undetected by traditional atypical composition analysis, but confirmed as product of LGT by atypical phylogenetic reconstruction, reveal the role of LGT events by replacing core metabolic genes normally inherited by vertical processes.     

The origin of metazoan development: a palaeobiological perspective

The rapid diversification of early Metazoa remains one of the most puzzling events in the fossil record. Several models have been proposed to explain a critical aspect of this event: the origin of Metazoan development. These include the origin of the eukaryotic cell, environmental triggers, key innovations or selection among cell lineages. Here, the first three hypotheses are evaulated within a phylogenetic framework using fossil, molecular and developmental evidence. Many elements of metazoan development are widely distributed among unicellular eukaryotes, yet only 3 of the 23 multicellular eukaryotic lineages evolved complex development. Molecular evidence indicates the lineage leading to the eukaryotic cell is nearly as old as the eubacterial and archaebacterial lineages, although the symbiotic events established that the eukaryotic cell probably occurred about 1.5 billion years ago. Yet Metazoa did not appear until 1000 to 600 million years ago (Myr), suggesting the origin of metazoan development must be linked to either an environmental trigger, perhaps an increase in atmospheric oxygen, or key innovations such as the development of collagen. Yet the first model fails to explain the unique appearance of complex development in Metazoa, while the latter fails to explain the simultaneous diversification of several ‘protist’ groups along with the Metazoa. A more complete model of the origin of metazoan development combines environmental triggering of a series of innovations, with successive innovations generating radiations of metazoan clades as lineages breached functional thresholds. The elaboration of new cell classes and the appearance of such developmental innovations as cell sheets may have been of particular importance. Evolutionary biologists often implicitly assume that evolution is a uniformitarian, time-homogeneous process without strong temporal asymmetries in evolutionary mechanisms, rate or context. Yet evolutionary patterns do exhibit such asymmetries, raising the possibility that such innovations as metazoan development impose non-uniformities of evolutionary process.     

昆虫水平基因转移及其研究进展

水平基因转移(horizontal gene transfer, HGT)是生物体获得遗传信息的方式之一,对生物体进化起重要作用。近年来,越来越多昆虫中的水平基因转移现象被报道,如在鳞翅目(如家蚕、甜菜夜蛾、小菜蛾、斜纹夜蛾)、半翅目(如柑橘粉蚧、烟粉虱)、鞘翅目(如咖啡果小蠹、米象、光肩星天牛)、膜翅目(如金小蜂)、双翅目(如果蝇、白纹伊蚊)等昆虫中广泛存在水平转移基因,且不同的水平转移基因对昆虫的营养合成与共生、吸收与消化、毒素产生与解毒、生长和发育、体色改变等方面有着重要作用。本文结合国内外专家学者的相关报道,就HGT的研究步骤与技术方法、评判HGT发生的方法、昆虫HGT的供体与功能几个方面进行了总结和讨论,以期更加深入地了解水平基因转移现象,为探究水平基因转移的作用机制、理解昆虫的进化、遗传和行为、并将水平基因转移应用到农业生产中为农业害虫的绿色防治提供更多思路。     

Origin of the bacterial SET domain genes: vertical or horizontal?

The presence of Supressor of variegation-Enhanser of zeste-Trithorax (SET) domain genes in bacteria is a current paradigm for lateral genetic exchange between eukaryotes and prokaryotes. Because a major function of SET domain proteins is the chemical modification of chromatin and bacteria do not have chromatin, there is no apparent functional requirement for the existence of bacterial SET domain genes. Consequently, their finding in only a small fraction of pathogenic and symbiotic bacteria was taken as evidence that bacteria have obtained the SET domain genes from their hosts. Furthermore, it was proposed that the products of the genes would, most likely, be involved in bacteria-host interactions. The broadened scope of sequenced bacterial genomes to include also free-living and environmental species provided a larger sample to analyze the bacterial SET domain genes. By phylogenetic analysis, examination of individual chromosomal regions for signs of insertion, and evaluating the chromosomal versus SET domain genes' GC contents, we provide evidence that SET domain genes have existed in the bacterial domain of life independently of eukaryotes. The bacterial genes have undergone an evolution of their own unconnected to the evolution of the eukaryotic SET domain genes. Initial finding of SET domain genes in predominantly pathogenic and symbiotic bacteria resulted, most probably, from a biased sample. However, a lateral transfer of SET domain genes may have occurred between some bacteria and a family of Archaea. A model for the evolution and distribution of SET domain genes in bacteria is proposed.     

Phylogeny rather than ecology or lifestyle biases the construction of Escherichia coli–Shigella genetic exchange communities

Genetic material can be transmitted not only vertically from parent to offspring, but also laterally (horizontally) from one bacterial lineage to another. Lateral genetic transfer is non-uniform; biases in its nature or frequency construct communities of genetic exchange. These biases have been proposed to arise from phylogenetic relatedness, shared ecology and/or common lifestyle. Here, we test these hypotheses using a graph-based abstraction of inferred genetic-exchange relationships among 27 Escherichia coli and Shigella genomes. We show that although barriers to inter-phylogenetic group lateral transfer are low, E. coli and Shigella are more likely to have exchanged genetic material with close relatives. We find little evidence of bias arising from shared environment or lifestyle. More than one-third of donor–recipient pairs in our analysis show some level of fragmentary gene transfer. Thus, within the E. coli–Shigella clade, intact genes and gene fragments have been disseminated non-uniformly and at appreciable frequency, constructing communities that transgress environmental and lifestyle boundaries.     

IGIPT - Integrated genomic island prediction tool

IGIPT is a web-based integrated platform for the identification of genomic islands (GIs). It incorporates thirteen parametric measures based on anomalous nucleotide composition on a single platform, thus improving the predictive power of a horizontally acquired region, since it is known that no single measure can absolutely predict a horizontally transferred region. The tool filters putative GIs based on standard deviation from genomic average and also provides raw output in MS excel format for further analysis. To facilitate the identification of various structural features, viz., tRNA integration sites, repeats, etc. in the vicinity of GIs, the tool provides option to extract the predicted regions and its flanking regions. AVAILABILITY: The database is available for free at http://bioinf.iiit.ac.in/IGIPT/