Avian comparative genomics: reciprocal chromosome painting between domestic chicken (Gallus gallus) and the stone curlew (Burhinus oedicnemus, Charadriiformes) - An atypical species with low diploid number

The chicken is the most extensively studied species in birds and thus constitutes an ideal reference for comparative genomics in birds. Comparative cytogenetic studies indicate that the chicken has retained many chromosome characters of the ancestral avia

Comparative genomics of Bifidobacteria

Chapter 2 of this thesis describes the sequence analysis of 14 bifidobacterial genomes from various species of the genus Bifidobacterium, and the determination of their open pan-genome trend. This analysis first determined the total number of genes to be considered as the reservoir of functions available to representatives of this genus. Many identified genes are still uncharacterized, but may be involved in the adaptation to the gut environment. This comparative genomic analysis also determined a pool of ortholog functions used to infer their phylogenetic relationship, thereby providing a more robust approach compared to that based solely on the16S rRNA-encoding gene. The genome sequence of an isolate from the insect hindgut Bifidobacterium asteroides PRL2011 was fully characterized in Chapter 3, surprisingly revealing a putative respiratory metabolism, which was also found to be present in other insect isolates, suggesting that respiration was an ancient feature of this genus, but also an adaptative trait to different atmosferic oxygen levels. Chapter 4 of this thesis outlines a comparative study which focused on the analysis of representatives of the Bifidobacterium breve species, revealing that the genetic variability among members of this species principally consists of genes with a role in adaptation to host environment and gut colonization. Finally, Chapter 5 describes the analysis of the genome sequence of Bifidobacterium animalis subsp. lactis BLC1, a probiotic bacterium widely used in food industries as an ingredient of functional foods, providing information that will allow future investigations of this species.

Identification of microRNAs expressed in two mosquito vectors, Aedes albopictus and Culex quinquefasciatus.

BACKGROUND: MicroRNAs (miRNAs) are small non-coding RNAs that post-transcriptionally regulate gene expression in a variety of organisms, including insects, vertebrates, and plants. miRNAs play important roles in cell development and differentiation as well as in the cellular response to stress and infection. To date, there are limited reports of miRNA identification in mosquitoes, insects that act as essential vectors for the transmission of many human pathogens, including flaviviruses. West Nile virus (WNV) and dengue virus, members of the Flaviviridae family, are primarily transmitted by Aedes and Culex mosquitoes. Using high-throughput deep sequencing, we examined the miRNA repertoire in Ae. albopictus cells and Cx. quinquefasciatus mosquitoes. RESULTS: We identified a total of 65 miRNAs in the Ae. albopictus C7/10 cell line and 77 miRNAs in Cx. quinquefasciatus mosquitoes, the majority of which are conserved in other insects such as Drosophila melanogaster and Anopheles gambiae. The most highly expressed miRNA in both mosquito species was miR-184, a miRNA conserved from insects to vertebrates. Several previously reported Anopheles miRNAs, including miR-1890 and miR-1891, were also found in Culex and Aedes, and appear to be restricted to mosquitoes. We identified seven novel miRNAs, arising from nine different precursors, in C7/10 cells and Cx. quinquefasciatus mosquitoes, two of which have predicted orthologs in An. gambiae. Several of these novel miRNAs reside within a ~350 nt long cluster present in both Aedes and Culex. miRNA expression was confirmed by primer extension analysis. To determine whether flavivirus infection affects miRNA expression, we infected female Culex mosquitoes with WNV. Two miRNAs, miR-92 and miR-989, showed significant changes in expression levels following WNV infection. CONCLUSIONS: Aedes and Culex mosquitoes are important flavivirus vectors. Recent advances in both mosquito genomics and high-throughput sequencing technologies enabled us to interrogate the miRNA profile in these two species. Here, we provide evidence for over 60 conserved and seven novel mosquito miRNAs, expanding upon our current understanding of insect miRNAs. Undoubtedly, some of the miRNAs identified will have roles not only in mosquito development, but also in mediating viral infection in the mosquito host.

Extremely Complex Populations of Small RNAs in the Mouse Retina and RPE/Choroid

Purpose: MicroRNAs (miRNAs) are small non-coding RNAs of ~18-22 nucleotides in length that regulate gene expression. They are widely expressed in the retina, being both required for its normal development and perturbed in disease. The aim of this study was to apply new high-throughput sequencing techniques to more fully characterise the microRNAs and other small RNAs expressed in the retina and retinal pigment epithelium (RPE)/choroid of the mouse.

Methods: Retina and RPE/choroid were dissected from eyes of 3 month-old C57BL/6J mice. Small RNA libraries were prepared and deep sequencing performed on a Genome Analyzer (Illumina). Reads were annotated by alignment to miRBase, other non-coding RNA databases and the mouse genome.

Results: Annotation of 9 million reads to 320 microRNAs in retina and 340 in RPE/choroid provides the most comprehensive profiling of microRNAs to date. Two novel microRNAs were identified in retina. Members of the sensory organ specific miR-183,-182,-96 cluster were amongst the most highly expressed, retina-enriched microRNAs. Remarkably, microRNA 'isomiRs', which vary slightly in length and are differentially detected by Taqman RT-PCR assays, existed for all the microRNAs identified in both tissues. More variation occurred at the 3' ends, including non-templated additions of T and A. Drosha-independent mirtron microRNAs and other small RNAs derived from snoRNAs were also detected.

Conclusions: Deep sequencing has revealed the complexity of small RNA expression in the mouse retina and RPE/choroid. This knowledge will improve the design and interpretation of future functional studies of the role of microRNAs and other small RNAs in retinal disease.

Language impairment in a case of a complex chromosomal rearrangement with a breakpoint downstream of FOXP2

BACKGROUND: We report on a young female, who presents with a severe speech and language disorder and a balanced de novo complex chromosomal rearrangement, likely to have resulted from a chromosome 7 pericentromeric inversion, followed by a chromosome 7 and 11 translocation. RESULTS: Using molecular cytogenetics, we mapped the four breakpoints to 7p21.1-15.3 (chromosome position: 20,954,043-21,001,537, hg19), 7q31 (chromosome position: 114,528,369-114,556,605, hg19), 7q21.3 (chromosome position: 93,884,065-93,933,453, hg19) and 11p12 (chromosome position: 38,601,145-38,621,572, hg19). These regions contain only non-coding transcripts (ENSG00000232790 on 7p21.1 and TCONS_00013886, TCONS_00013887, TCONS_00014353, TCONS_00013888 on 7q21) indicating that no coding sequences are directly disrupted. The breakpoint on 7q31 mapped 200 kb downstream of FOXP2, a well-known language gene. No splice site or non-synonymous coding variants were found in the FOXP2 coding sequence. We were unable to detect any changes in the expression level of FOXP2 in fibroblast cells derived from the proband, although this may be the result of the low expression level of FOXP2 in these cells. CONCLUSIONS: We conclude that the phenotype observed in this patient either arises from a subtle change in FOXP2 regulation due to the disruption of a downstream element controlling its expression, or from the direct disruption of non-coding RNAs.

The Role of Small RNAs and Ribonucleases in the Control of Gene Expression in Salmonella Typhimurium

Dissertation presented to obtain the Ph.D degree in Biology

Interplay of Exoribonucleases, Hfq and Small RNAs Structural Determinants in the Control of Gene Expression

Dissertation presented to obtain the Ph.D degree in Biology

Annotation des ARN non codants du génome de Candida albicans par méthode bioinformatique

La bio-informatique est un champ pluridisciplinaire qui utilise la biologie, l’informatique, la physique et les mathématiques pour résoudre des problèmes posés par la biologie. L’une des thématiques de la bio-informatique est l’analyse des séquences génomiques et la prédiction de gènes d’ARN non codants. Les ARN non codants sont des molécules d’ARN qui sont transcrites mais pas traduites en protéine et qui ont une fonction dans la cellule. Trouver des gènes d’ARN non codants par des techniques de biochimie et de biologie moléculaire est assez difficile et relativement coûteux. Ainsi, la prédiction des gènes d’ARNnc par des méthodes bio-informatiques est un enjeu important. Cette recherche décrit un travail d’analyse informatique pour chercher des nouveaux ARNnc chez le pathogène Candida albicans et d’une validation expérimentale. Nous avons utilisé comme stratégie une analyse informatique combinant plusieurs logiciels d’identification d’ARNnc. Nous avons validé un sous-ensemble des prédictions informatiques avec une expérience de puces à ADN couvrant 1979 régions du génome. Grace à cette expérience nous avons identifié 62 nouveaux transcrits chez Candida albicans. Ce travail aussi permit le développement d’une méthode d’analyse pour des puces à ADN de type tiling array. Ce travail présente également une tentation d’améliorer de la prédiction d’ARNnc avec une méthode se basant sur la recherche de motifs d’ARN dans les séquences.

Rôle du régulateur Fur et des petits ARN non codants RfrA et RfrB dans l’homéostasie du fer et la virulence de Salmonella

La régulation de l’homéostasie du fer est cruciale chez les bactéries. Chez Salmonella, l’expression des gènes d’acquisition et du métabolisme du fer au moment approprié est importante pour sa survie et sa virulence. Cette régulation est effectuée par la protéine Fur et les petits ARN non codants RfrA et RfrB. Le rôle de ces régulateurs est d’assurer que le niveau de fer soit assez élevé pour la survie et le métabolisme de Salmonella, et assez faible pour éviter l’effet toxique du fer en présence d’oxygène. Les connaissances concernant le rôle de ces régulateurs ont été principalement obtenues par des études chez S. Typhimurium, un sérovar généraliste causant une gastro-entérite chez les humains. Très peu d’informations sont connues sur le rôle de ces régulateurs chez S. Typhi, un sérovar humain-spécifique responsable de la fièvre typhoïde. Le but de cette étude était de déterminer les rôles de Fur, RfrA et RfrB dans l’homéostasie du fer et la virulence de Salmonella, et de démontrer qu’ils ont une implication distincte chez les sérovars Typhi et Typhimurium. Premièrement, Fur, RfrA et RfrB régulent l’homéostasie du fer de Salmonella. Les résultats de cette étude ont démontré que Fur est requis pour la résistance au stress oxydatif et pour une croissance optimale dans différentes conditions in vitro. La sensibilité du mutant fur est due à l’expression des petits ARN RfrA et RfrB, et cette sensibilité est beaucoup plus importante chez S. Typhi que chez S. Typhimurium. Également, Fur inhibe la transcription des gènes codant pour les sidérophores en conditions riches en fer, tandis que les petits ARN RfrA et RfrB semblent être importants pour la production d’entérobactine et de salmochélines chez S. Typhi lors de conditions pauvres en fer. Ensuite, ces régulateurs affectent la virulence de Salmonella. Fur est important pour la motilité de Salmonella, particulièrement chez S. Typhi. Fur est nécessaire pour l’invasion des deux sérovars dans les cellules épithéliales, et pour l’entrée et la survie de S. Typhi dans les macrophages. Chez S. Typhimurium, Fur ne semble pas impliqué dans l’interaction avec les macrophages. De plus, les petits ARN RfrA et RfrB sont importants pour la multiplication intracellulaire de Salmonella dans les macrophages pour les deux sérovars. Finalement, la protéine Fur et les petits ARN RfrA et RfrB régulent l’expression de l’opéron fimbriaire tcf, absent du génome de S. Typhimurium. Un site de liaison putatif de la protéine Fur a été identifié dans la région promotrice de tcfA chez S. Typhi, mais une régulation directe n’a pas été confirmée. L’expression de tcf est induite par le fer et par Fur, et est inhibée par les petits ARN RfrA et RfrB. Ainsi, ces régulateurs affectent des gènes de virulence qui sont retrouvés spécifiquement chez S. Typhi. En somme, ce projet a permis de démontrer que les régulateurs de l’homéostasie du fer de Salmonella peuvent affecter la résistance de cette bactérie pathogène à différents stress, notamment le stress oxydatif, la croissance en conditions de carence en fer ainsi que la virulence. Ces régulateurs jouent un rôle distinct chez les sérovars Typhi et Typhimurium.

A process for analysis of microarray comparative genomics hybridisation studies for bacterial genomes

Background: Microarray based comparative genomic hybridisation (CGH) experiments have been used to study numerous biological problems including understanding genome plasticity in pathogenic bacteria. Typically such experiments produce large data sets that are difficult for biologists to handle. Although there are some programmes available for interpretation of bacterial transcriptomics data and CGH microarray data for looking at genetic stability in oncogenes, there are none specifically to understand the mosaic nature of bacterial genomes. Consequently a bottle neck still persists in accurate processing and mathematical analysis of these data. To address this shortfall we have produced a simple and robust CGH microarray data analysis process that may be automated in the future to understand bacterial genomic diversity. Results: The process involves five steps: cleaning, normalisation, estimating gene presence and absence or divergence, validation, and analysis of data from test against three reference strains simultaneously. Each stage of the process is described and we have compared a number of methods available for characterising bacterial genomic diversity, for calculating the cut-off between gene presence and absence or divergence, and shown that a simple dynamic approach using a kernel density estimator performed better than both established, as well as a more sophisticated mixture modelling technique. We have also shown that current methods commonly used for CGH microarray analysis in tumour and cancer cell lines are not appropriate for analysing our data. Conclusion: After carrying out the analysis and validation for three sequenced Escherichia coli strains, CGH microarray data from 19 E. coli O157 pathogenic test strains were used to demonstrate the benefits of applying this simple and robust process to CGH microarray studies using bacterial genomes.