Genome-wide identification of novel genomic islands that contribute to Salmonella virulence in mouse systemic infection

Salmonella pathogenicity islands are inserted into the genome by horizontal gene transfer and are required for expression of full virulence. Here, we performed tRNA scanning of the genome of Salmonella enterica serovar Typhimurium and compared it with that of nonpathogenic Escherichia coli in order to identify genomic islands that contribute to Salmonella virulence. Using deletion analysis, we identified four genomic islands that are required for virulence in the mouse infection model. One of the newly identified pathogenicity islands was the pheV- tRNA-located genomic island, which is comprised of 26 126 bp, and encodes 22 putative genes, including STM3117–STM3138. We also showed that the pheV tRNA-located genomic island is widely distributed among different nontyphoid Salmonella serovars. Furthermore, genes including STM3118–STM3121 were identified as novel virulence-associated genes within the pheV- tRNA-located genomic island. These results indicate that a Salmonella -specific pheV- tRNA genomic island is involved in Salmonella pathogenesis among the nontyphoid Salmonella serovars.     

Mechanisms Controlling the Integrity of Replicating Chromosomes in Budding Yeast

Cells are continually challenged by genomic insults that originate from chemical and physical agents diffused in the environment, but also normal cellular metabolism produces genotoxic effects. Moreover, DNA replication and recombination generate intermediates potentially dangerous for genome stability. Growing evidence show that many genetic disorders are characterized by high levels of chromosome alterations due to genomic instability, which is also a hallmark of cancer cells. Recent work shed some light on the molecular events that maintain the integrity of chromosomes during unperturbed S phase and in the face of odds.     

Strong association between cancer and genomic instability

After a first wave of radiation-induced chromosomal aberrations, a second wave appears 20–30 cell generations after radiation exposure and persists thereafter. This late effect is usually termed “genomic instability”. A better term is “increased genomic instability”. This effect has been observed in many cell systems in vitro and in vivo for quite a number of biological endpoints. The radiation-induced increase in genomic instability is apparently a general phenomenon. In the development of cancer, several mutations are involved. With increasing genomic instability, the probability for further mutations is enhanced. Several studies show that genomic instability is increased not only in the cancer cells but also in “normal” cells of cancer patients e.g. peripheral lymphocytes. This has for example been shown in uranium miners with bronchial carcinomas, but also in untreated head and neck cancer patients. The association between cancer and genomic instability is also found in individuals with a genetic predisposition for increased radiosensitivity. Several such syndromes have been found. In all cases, an increased genomic instability, cancer proneness and increased radiosensitivity coincide. In these syndromes, deficiencies in certain DNA-repair pathways occur as well as deregulations of the cell cycle. Especially, mutations are seen in genes encoding proteins, which are involved in the G₁/S-phase checkpoint. Genomic instability apparently promotes cancer development. In this context, it is interesting that hypoxia, increased genomic instability and cancer are also associated. All these processes are energy dependent. Some strong evidence exists that the structure and length of telomeres is connected to the development of genomic instability.     

Genomic differentiation and patterns of gene flow between two long‐tailed tit species (Aegithalos)

Patterns of heterogeneous genomic differentiation have been well documented between closely related species, with some highly differentiated genomic regions (“genomic differentiation islands”) spread throughout the genome. Differential levels of gene flow are proposed to account for this pattern, as genomic differentiation islands are suggested to be resistant to gene flow. Recent studies have also suggested that genomic differentiation islands could be explained by linked selection acting on genomic regions with low recombination rates. Here, we investigate genomic differentiation and gene‐flow patterns for autosomes using RAD‐seq data between two closely related species of long‐tailed tits (Aegithalos bonvaloti and A. fuliginosus) in both allopatric and contact zone populations. The results confirm recent or ongoing gene flow between these two species. However, there is little evidence that the genomic regions that were found to be highly differentiated between the contact zone populations are resistant to gene flow, suggesting that differential levels of gene flow is not the cause of the heterogeneous genomic differentiation. Linked selection may be the cause of genomic differentiation islands between the allopatric populations with no or very limited gene flow, but this could not account for the heterogeneous genomic differentiation between the contact zone populations, which show evidence of recent or ongoing gene flow.     

Distortion of quantitative genomic and expression hybridization by Cot-1 DNA: mitigation of this effect

Cross-hybridization of repetitive sequences in genomic and expression arrays is reported to be suppressed with repeat-blocking nucleic acids (C_ot-1 DNA). Contrary to expectation, we demonstrated that C_ot-1 also enhanced non-specific hybridization between probes and genomic targets. When added to target DNA, C_ot-1 enhanced hybridization (2.2- to 3-fold) to genomic probes containing conserved repetitive elements. In addition to repetitive sequences, C_ot-1 was found to be enriched for linked single copy (sc) sequences. Adventitious association between these sequences and probes distort quantitative measurements of the probes hybridized to desired genomic targets. Quantitative microarray hybridization studies using C_ot-1 DNA are also susceptible to these effects, especially for probes that map to genomic regions containing conserved repetitive sequences. Hybridization measurements with such probes are less reproducible in the presence of C_ot-1 than for probes derived from sc regions or regions containing divergent repeat elements, a finding with significant ramifications for genomic and expression microarray studies. We mitigated the requirement for C_ot-1 either by hybridizing with computationally defined sc probes lacking repeats or by substituting synthetic repetitive elements complementary to sequences in genomic probes.     

Relationship between spatial organization and biological function,analyzed using gene ontology and chromosome conformation capture of human and fission yeast genomes

Cells regulate functionally related genes cis- and trans-contacts in order to perform specific biological roles. To understand the cryptic spatial genomic contexts underlying these biological functions, we analyzed the gene association data from the gene ontology (GO) database and the genomic spatial organization data obtained by analysis of chromosome conformation capture (3C)-based data from the Sequence Read Archive, where GO and 3C-based data were used to measure functional similarity and spatial proximity, respectively, between genomic loci. In the human genome and the fission yeast genome, we observed that correlation between the two measures was statistically significant on a genome-wide scale. Specifically, it is also confirmed that the genomic spatial architecture is affected by functional similarity of genes by showing better correlation of functional similarities with spatial distances estimated by contact frequencies than those estimated by genomic distances for cis-contacts. Furthermore, we analyzed distances between the genomic segments sharing the same GO term using the two-sample t test, found that the genomic segments identified by various GO terms are spatially located closer than the average distance over statistically-valid contacts, and provided a list of the GO terms. The results suggested that genomic loci with similar biological functions are situated in close proximity to each other in the nuclear space by aggregating functionally related genes in a short spatial range.     

Linked selection,demography and the evolution of correlated genomic landscapes in birds and beyond

Selection has a deep impact on the distribution of genetic diversity and population differentiation along the genome (the genomic landscapes of diversity and differentiation), reducing diversity and elevating differentiation not only at the sites it targets, but also at linked neutral sites. Fuelled by the high‐throughput sequencing revolution, these genomic footprints of selection have been extensively exploited over the past decade with the aim to identify genomic regions involved in adaptation and speciation. However, while this research has shown that the genomic landscapes of diversity and differentiation are usually highly heterogeneous, it has also led to the increasing realization that this heterogeneity may evolve under processes other than adaptation or speciation. In particular, instead of being an effect of selective sweeps or barriers to gene flow, accentuated differentiation can evolve by any process reducing genetic diversity locally within the genome (Charlesworth, 1998 ), including purifying selection at linked sites (background selection). In particular, in genomic regions where recombination is infrequent, accentuated differentiation can evolve as a by‐product of diversity reductions unrelated to adaptation or speciation (Cruickshank & Hahn, 2014 ; Nachman & Payseur, 2012 ; Noor & Bennett, 2009 ). In such genomic regions, linkage extends over physically larger genome stretches, and selection affects a particularly high number of linked neutral sites. Even though the effects of selection on linked neutral diversity (linked selection) within populations are well documented (Cutter & Payseur, 2013 ), recent observations of diversity and differentiation landscapes that are highly correlated even among independent lineages suggest that the effects of long‐term linked selection may have a deeper impact on the evolution of the genomic landscapes of diversity and differentiation than previously anticipated. The study on Saxicola stonechats by Van Doren et al. ( 2017 ) reported in the current issue of Molecular Ecology lines in with a rapidly expanding body of evidence in this direction. Correlations of genomic landscapes extending from within stonechats to comparisons with Ficedula flycatchers add to recent insights into the timescales across which the effects of linked selection persist. Absent and inverted correlations of genomic landscapes in comparisons involving an island taxon, on the other hand, provide important empirical clues about the role of demographic constraints in the evolution of the genomic landscapes of diversity and differentiation.     

Multiple-Trait Genomic Selection Methods Increase Genetic Value Prediction Accuracy

Genetic correlations between quantitative traits measured in many breeding programs are pervasive. These correlations indicate that measurements of one trait carry information on other traits. Current single-trait (univariate) genomic selection does not take advantage of this information. Multivariate genomic selection on multiple traits could accomplish this but has been little explored and tested in practical breeding programs. In this study, three multivariate linear models (i.e., GBLUP, BayesA, and BayesCπ) were presented and compared to univariate models using simulated and real quantitative traits controlled by different genetic architectures. We also extended BayesA with fixed hyperparameters to a full hierarchical model that estimated hyperparameters and BayesCπ to impute missing phenotypes. We found that optimal marker-effect variance priors depended on the genetic architecture of the trait so that estimating them was beneficial. We showed that the prediction accuracy for a low-heritability trait could be significantly increased by multivariate genomic selection when a correlated high-heritability trait was available. Further, multiple-trait genomic selection had higher prediction accuracy than single-trait genomic selection when phenotypes are not available on all individuals and traits. Additional factors affecting the performance of multiple-trait genomic selection were explored.     

Mitochondrial dysfunction leads to telomere attrition and genomic instability

Mitochondrial dysfunction and oxidative stress have been implicated in cellular senescence, apoptosis, aging and aging-associated pathologies. Telomere shortening and genomic instability have also been associated with replicative senescence, aging and cancer. Here we show that mitochondrial dysfunction leads to telomere attrition, telomere loss, and chromosome fusion and breakage, accompanied by apoptosis. An antioxidant prevented telomere loss and genomic instability in cells with dysfunctional mitochondria, suggesting that reactive oxygen species are mediators linking mitochondrial dysfunction and genomic instability. Further, nuclear transfer protected genomes from telomere dysfunction and promoted cell survival by reconstitution with functional mitochondria. This work links mitochondrial dysfunction and genomic instability and may provide new therapeutic strategies to combat certain mitochondrial and aging-associated pathologies.     

DNA错配修复与癌症的发生及治疗

DNA错配修复是细胞复制后的一种修复机制,具有维持DNA复制保真度,控制基因变异的作用。DNA错配修复缺陷使整个基因组不稳定,最终会导致肿瘤和癌症的发生。DNA错配修复系统不仅通过矫正在DNA重组和复制过程中产生的碱基错配而保持基因组的稳定,而且通过诱导DNA损伤细胞的凋亡而消除由突变细胞生长形成的癌变。错配修复缺陷细胞的抗药性也引起了癌症化疗研究方面的关注。大多数情况下,错配修复健全型细胞对肿瘤化疗药物敏感,而错配修复缺陷细胞却有较高的抗性。DNA错配修复系统通过修复和诱导细胞凋亡维护基因组稳定的功能,显示了错配修复途径在癌症生物学和分子医学中的重要性。     

The genes for tumor necrosis factor (TNF-alpha) and lymphotoxin (TNF-beta) are tandemly arranged on chromosome 17 of the mouse

We have isolated clones containing the gene for tumor necrosis factor (TNF-alpha) from a mouse genomic library. Four out of five clones containing the TNF-alpha gene also hybridized to a human lymphotoxin (TNF-beta) probe. We constructed a restriction enzyme cleavage map of a 6.4 kb region from one of the genomic clones. From partial sequencing data and hybridizations with exon-specific oligonucleotide probes, we conclude that this region contains the mouse TNF-alpha and TNF-beta genes in a tandem arrangement, that they are separated by only about 1100 bases, and that their intron-exon structure is very similar to that seen in man. We probed genomic blots of DNA from human/mouse hybrids containing single mouse chromosomes for the presence of the mouse TNF genes. The results show that the genes are located on mouse chromosome 17, which also contains the major histocompatibility complex. Therefore, both the mouse and the human TNF genes are tandemly arranged and located on the same chromosome as the MHC.     

Across bacterial phyla, distantly-related genomes with similar genomic GC content have similar patterns of amino acid usage

The GC content of bacterial genomes ranges from 16% to 75% and wide ranges of genomic GC content are observed within many bacterial phyla, including both gram negative and gram positive phyla. Thus, divergent genomic GC content has evolved repeatedly in widely separated bacterial taxa. Since genomic GC content influences codon usage, we examined codon usage patterns and predicted protein amino acid content as a function of genomic GC content within eight different phyla or classes of bacteria. We found that similar patterns of codon usage and protein amino acid content have evolved independently in all eight groups of bacteria. For example, in each group, use of amino acids encoded by GC-rich codons increased by approximately 1% for each 10% increase in genomic GC content, while the use of amino acids encoded by AT-rich codons decreased by a similar amount. This consistency within every phylum and class studied led us to conclude that GC content appears to be the primary determinant of the codon and amino acid usage patterns observed in bacterial genomes. These results also indicate that selection for translational efficiency of highly expressed genes is constrained by the genomic parameters associated with the GC content of the host genome.     

Exploiting genomic patterns to discover new supramolecular protein assemblies

Bacterial microcompartments are supramolecular protein assemblies that function as bacterial organelles by compartmentalizing particular enzymes and metabolic intermediates. The outer shells of these microcompartments are assembled from multiple paralogous structural proteins. Because the paralogs are required to assemble together, their genes are often transcribed together from the same operon, giving rise to a distinctive genomic pattern: multiple, typically small, paralogous proteins encoded in close proximity on the bacterial chromosome. To investigate the generality of this pattern in supramolecular assemblies, we employed a comparative genomics approach to search for protein families that show the same kind of genomic pattern as that exhibited by bacterial microcompartments. The results indicate that a variety of large supramolecular assemblies fit the pattern, including bacterial gas vesicles, bacterial pili, and small heat‐shock protein complexes. The search also retrieved several widely distributed protein families of presently unknown function. The proteins from one of these families were characterized experimentally and found to show a behavior indicative of supramolecular assembly. We conclude that cotranscribed paralogs are a common feature of diverse supramolecular assemblies, and a useful genomic signature for discovering new kinds of large protein assemblies from genomic data.     

Polyploid formation in cotton is not accompanied by rapid genomic changes.

Recent work has demonstrated that allopolyploid speciation in plants may be associated with non-Mendelian genomic changes in the early generations following polyploid synthesis. To address the question of whether rapid genomic changes also occur in allopolyploid cotton (Gossypium) species, amplified fragment length polymorphism (AFLP) analysis was performed to evaluate nine sets of newly synthesized allotetraploid and allohexaploid plants, their parents, and the selfed progeny from colchicine-doubled synthetics. Using both methylation-sensitive and methylation-insensitive enzymes, the extent of fragment additivity in newly combined genomes was ascertained for a total of approximately 22,000 genomic loci. Fragment additivity was observed in nearly all cases, with the few exceptions most likely reflecting parental heterozygosity or experimental error. In addition, genomic Southern analysis on six sets of synthetic allopolyploids probed with five retrotransposons also revealed complete additivity. Because no alterations were observed using methylation-sensitive isoschizomers, epigenetic changes following polyploid synthesis were also minimal. These indications of genomic additivity and epigenetic stasis during allopolyploid formation provide a contrast to recent evidence from several model plant allopolyploids, most notably wheat and Brassica, where rapid and unexplained genomic changes have been reported. In addition, the data contrast with evidence from repetitive DNAs in Gossypium, some of which are subject to non-Mendelian molecular evolutionary phenomena in extant polyploids. These contrasts indicate polyploid speciation in plants is accompanied by a diverse array of molecular evolutionary phenomena, which will vary among both genomic constituents and taxa.     

Group additive regression models for genomic data analysis

One important problem in genomic research is to identify genomic features such as gene expression data or DNA single nucleotide polymorphisms (SNPs) that are related to clinical phenotypes. Often these genomic data can be naturally divided into biologically meaningful groups such as genes belonging to the same pathways or SNPs within genes. In this paper, we propose group additive regression models and a group gradient descent boosting procedure for identifying groups of genomic features that are related to clinical phenotypes. Our simulation results show that by dividing the variables into appropriate groups, we can obtain better identification of the group features that are related to the phenotypes. In addition, the prediction mean square errors are also smaller than the component-wise boosting procedure. We demonstrate the application of the methods to pathway-based analysis of microarray gene expression data of breast cancer. Results from analysis of a breast cancer microarray gene expression data set indicate that the pathways of metalloendopeptidases (MMPs) and MMP inhibitors, as well as cell proliferation, cell growth, and maintenance are important to breast cancer-specific survival.     

基因组选择在猪杂交育种中的应用

基因组选择是指在全基因组范围内通过基因组中大量的标记信息估计出个体全基因组范围的育种值,可进一步提升育种效率和准确性,目前在猪纯繁育种中得到广泛应用。但有研究表明,现有的基因组选择方法在猪杂交育种上的应用效果并不理想,在跨群体条件下预测准确性极低。杂交作为养猪业中最为广泛的育种手段之一,通过结合基因组选择理论进一步提升猪的生产性能,具有重要的经济和研究价值。本文综述了基因组选择的发展及其在猪育种中的应用现状,并结合国内外猪杂交育种的方式,分析了目前基因组选择方法在猪杂交育种应用方面的不足,旨在为未来基因组选择在猪杂交育种中的合理应用提供参考。     

RAPD分析氮离子注入甜菊种子后的幼苗基因组DNA变异

应用ＲＡＰＤ 技术检测经低能氮离子注入甜菊纯系种子引起的幼苗基因组ＤＮＡ 变异。筛选出ＯＰＪ系列中的１５ 种引物对实验及对照基因组ＤＮＡ 进行了ＰＣＲ 扩增,共获扩增片段１０３ 条,分子量在０．３ － ３ｋｂ 之间,其中５ 种引物ＯＰＪ－ １ ,７ ,９,１１ ,１２ 扩增出差异片段１２ 条。结果表明,低能氮离子注入甜菊种子可引起体内基因组ＤＮＡ 发生突变;ＲＡＰＤ 技术是检测基因组ＤＮＡ 发生诱变的一种简便、有效方法。本文同时探讨了离子强度和Ｔａｇ ＤＮＡ 聚合酶用量对甜菊ＲＡＰＤ 分析结果的影响,以及氮离子注入诱变效应的可能机制。     

The encapsidated genome of Microplitis demolitor bracovirus integrates into the host Pseudoplusia includens

Polydnaviruses (PDVs) are symbionts of parasitoid wasps that function as gene delivery vehicles in the insects (hosts) that the wasps parasitize. PDVs persist in wasps as integrated proviruses but are packaged as circularized and segmented double-stranded DNAs into the virions that wasps inject into hosts. In contrast, little is known about how PDV genomic DNAs persist in host cells. Microplitis demolitor carries Microplitis demolitor bracovirus (MdBV) and parasitizes the host Pseudoplusia includens. MdBV infects primarily host hemocytes and also infects a hemocyte-derived cell line from P. includens called CiE1 cells. Here we report that all 15 genomic segments of the MdBV encapsidated genome exhibited long-term persistence in CiE1 cells. Most MdBV genes expressed in hemocytes were persistently expressed in CiE1 cells, including members of the glc gene family whose products transformed CiE1 cells into a suspension culture. PCR-based integration assays combined with cloning and sequencing of host-virus junctions confirmed that genomic segments J and C persisted in CiE1 cells by integration. These genomic DNAs also rapidly integrated into parasitized P. includens. Sequence analysis of wasp-viral junction clones showed that the integration of proviral segments in M. demolitor was associated with a wasp excision/integration motif (WIM) known from other bracoviruses. However, integration into host cells occurred in association with a previously unknown domain that we named the host integration motif (HIM). The presence of HIMs in most MdBV genomic DNAs suggests that the integration of each genomic segment into host cells occurs through a shared mechanism.