Oxidative stress (OS) has been associated with aging and age-related diseases in humans, as well as with the decline in economic trait performance in poultry and other domesticated animals. However, the potential effects of OS on the poultry immune system are not well understood. In addition, the impact of bird genetic variation on redox balance remains to be elucidated. Thus, the central hypothesis of this dissertation is: The bird's adaptive immunocompetence is impacted by their OS level, which is not only influenced by environmental factors, but also related to genetic phenotype of either mitochondrial DNA (mtDNA) or nuclear DNA (nDNA). In the first phase of this study, White Leghorn chickens were provided ethanol at different concentrations in drinking water to induce OS. Biomarkers including malondialdehyde (MDA), glutathione (GSH), and plasma uric acid (PUA) were measured to assess OS before and after ethanol treatment. The adaptive immune response during an OS event was measured by plasma IgG and IgM levels, major lymphoid organ weights, CD4+/CD8+ cell ratio, and histopathological analysis of the immune organs. Results showed that when OS was induced by 10% ethanol, chicken adaptive immune responses decreased; however, when birds were exposed to 2% ethanol, there was an enhancement in antioxidant defense and immune response; These results would suggest a negative correlation between OS level and chicken adaptive immune response. In the second phase of the study, subsets of chickens were selected based on their high (H)- or low (L)-OS to assess for variations in their genetic phenotypes. Using MDA levels, 36 chickens were chosen to scan a 2734-bp region of mtDNA, but no definitive SNP was detected. In another experiment, 40 chickens were conversely selected according to three biomarkers for OS. Although no variation was found at eight SNP loci tested across the mitochondrial genome, mtDNA damage measured by 8-hydroxy-2′-deoxy-guanosine was shown to increase with time, and at higher levels in the high OS birds (p < 0.05). Thses results suggest that long-term high OS levels in chickens may increase the somatic mutation of their mtDNA. In the final phase of this dissertation, the effect of nDNA on OS, measured via a genome-wide association study was performed with 18 H and 18 L chickens using the latest chicken 60k SNP microarray for genotyping. Among 56,483 SNPs successfully genotyped, 13 SNPs across five independent loci were associated with OS at significance level of p ≤ 0.001, and another 144 SNPs were also associated with OS (p ≤ 0.01). These results indicate new loci and related genes for their genetic influence upon redox balance. In general, experiments carried out on White Leghorn chickens here have shown that adaptive immune response is tightly related to changes of OS. Further, genetic variance in nDNA is associated with the risk of high OS or the ability to better resist it. / Ph. D.

Glucocorticoids (GCs) have been widely used as a therapeutic agent for diverse inflammatory ocular diseases. However, a high percentage of patients undergoing this treatment develop high intraocular pressure (IOP), which if left unsupervised may lead to glaucoma. It is believed that the IOP elevation in response to GC treatment has a genetic determinant. In order to test this hypothesis, we analyzed in 52 patients the presence of single nucleotide polymorphisms (SNPs) in the glucocorticoid receptor gene (GR), the principal mediator of GCs uptake by the cells. We studied six GR SNPs previously reported to be associated with sensitivity and resistance to GCs: GluArg22/23GluLys (codon 22-23), Asn363Ser (codon 363), IVS2+646C>G (intron 2/BclI), IVS3-46G>C (intron 3), IVS4-16G>T (intron 4), Asn766Asn (Codon 766). Nevertheless, the results of this preliminary study did not show any specific correlation between SNPs in the GR gene and IOP elevation. Therefore, we proceeded to perform a whole genome SNP screen with the DNA samples of these patients to search for possible target genes responsible for the elevated IOP after GC treatment. As a result, we identified forty-eight SNPs in thirty-three genes that correlate with the high IOP response. The gene showing the strongest association is a poorly known G-protein coupled receptor. In addition, four SNPs hit a single transporter gene. Other candidate genes identified are a translation elongation factor, an F-box protein, an oxysterol binding protein, and a solute carrier family gene. These results support our hypothesis that IOP elevation following GC treatment is a genetically determined response. GCs are a common treatment for innumerable medical conditions; we believe that a genetic association between GC treatment and its physiological response may be important for improving treatment management and drug development for retinal diseases as well as for other medical ailments. However, further studies need to be performed to analyze in depth the association between the candidate genes identified in this study and the steroid response.

L'Indonésie a été l'objet de la dispersion Austronésienne qui a débuté il y a environ 5000 ans depuis Taiwan, se propager à travers les Philippines et l'Indonésie, puis toucher l'Océanie à l'est, et à Madagascar à l'ouest. Malgré de nombreuses recherches en génétique sur la dispersion Austronésienne vers l'est, il y a très peu de données sur la dispersion vers l'ouest, laissant sans réponse de nombreuses questions, liées notamment au peuplement de Madagascar. Reposant sur l'analyse des données culturelles et biologiques, les populations d'Indonésie semblent avoir joué un rôle majeur dans la colonisation de Madagascar, le premier millénaire de notre ère. Cependant, le peu de populations Indonésiennes étudiées à ce jour n'a pas permis jusqu'à présent d'identifier la population indonésienne source. Dans ce présent travail, j'ai réalisé des études en génétique des populations de 12 populations Indonésiennes, qui à priori devraient éclairer l'histoire des migrations austronésiennes dans l'Océan Indien. Parmi elles sont inclus le Ma'anyan du sud-est de Bornéo qui sont les plus proches linguistiquement des Malgaches. En utilisant différents marqueurs génétiques, ma recherche a amélioré nos connaissances de la diversité génétique Indonésienne, et du lien génétique entre l'Indonésie et Madagascar. Résultats L'analyse des marqueurs uniparentaux (chr-Y et ADNmt) suggère que les Malgaches proviennent de plusieurs régions d'Indonésie, avec un lien privilégié avec le sud-est de Bornéo, le sud de Sulawesi et les îles de la Sonde. Etonnamment, les Ma'anyan partagent un nombre limité de lignées paternelles et maternelles avec les Malgaches, malgré leur proximité linguistique. Par ailleurs, en combinant l'analyse de fréquences des SNPs et l'analyse haplotypique à partir des données autosomales, il a été confirmé que la diversité génétique des Ma'anyan ne correspond pas à l'ancestralité asiatique des Malgaches. Cependant, en centrant l'analyse sur les populations du sud-est de Bornéo, l'origine de l'ancestralité asiatique des Malgaches est ancrée dans la population Banjar, un mélange de population Ma'anyan et Malaise, résultat des activités commerciales de l'empire Malais dans le sud-est de Bornéo, qui se sont poursuivies à travers l'océan Indien. Par ailleurs nos résultats ont aussi permis d'accroitre notre compréhension de la diversité génétique de l'Indonésie en identifiant (1) une nouvelle composante génétique austronésienne présente chez les Ma'anyan, et retrouvée à faible fréquence à travers l'Asie du Sud-Est, suggérant une plus grande complexité du modèle d'expansion austronésien dans la région et (2) le rôle joué par les nomades de la mer dans la structuration de la diversité génétique et les échanges entre populations dans l'Indonésie, soulignant l'histoire génétique complexe de populations suivant un mode de vie nomade. / Indonesia hosts a wide range of linguistic, ethnic and genetic diversity, comprising ~600 ethnic groups and 700 living languages. Indonesia has facilitated the last substantial wave of human migration was the Austronesian dispersal ~5,000 years ago, which is thought to have originated in Taiwan. Its influence spread through Philippines and Indonesia, ultimately impacting a wide geographical area, from Remote Oceania in the east and to Madagascar in the west. Despite considerable genetic research on the eastward Austronesian expansion, there is little equivalent research on the western edge, leaving major issues unresolved regarding the settlement of Madagascar. Based on cultural and biological studies, it has been suggested that Indonesian peoples played a major role in the colonization of Madagascar from around the mid-first millennium CE (Current Era). However, poor geographical coverage of Indonesian populations has prevented the Indonesian source populations from being identified. Here, I performed human population genetic studies on 12 new Indonesian populations, which were a priori expected to shed light on the westward migration of Austronesians across the Indian Ocean. This includes the Ma'anyan ethnic group from Southeast Borneo, who are the closest linguistic siblings to modern Malagasy. Using different genetic markers (Y-chromosome SNPs, mitochondrial DNA and genome-wide SNPs), my research has improved the description of Indonesian genetic diversity, and investigated the genetic links between Indonesia and Madagascar. Results Uniparental markers (Y-chromosome and mtDNA) analyses suggest that Malagasy derive from multiple regional sources in Indonesia, with a focus on southeastern Borneo, southern Sulawesi and the Lesser Sunda islands. Interestingly, the Ma'anyan share limited paternal and maternal lineages with the Malagasy, despite their linguistic connection. Furthermore, combining SNP frequency and haplotype-based analyses from autosomal genome-wide data, it was confirmed that the genetic diversity of the Ma'anyan does not match the Asian ancestry of the Malagasy. However, by focusing on Southeast Borneo populations, strong support was found for an origin of the Asian ancestry of Malagasy among the people of Banjar, an admixed population of Ma'anyan and Malay, likely resulting from trading activities by the Malay Empire in Southeast Borneo, and later continuing across the Indian Ocean arena. These results increase our understanding of genetic diversity across Indonesia by 1) identifying the unique and undiscovered Austronesian genetic component carried by the Ma'anyan, which occurs at low levels across Island Southeast Asia and suggests a more complex model for the Austronesian expansion in this region, and 2) describing the role played by sea-nomads in structuring genetic diversity and exchanges in central Indonesia, thus revealing the complex genetic history of populations living this rare nomadic lifestyle.

Introduction La traite transatlantique, du 15ième au 19ième siècle, a changé radicalement la démographie des Amériques. Des milliers d'esclaves africains ont réussi à échapper aux plantations des colonisateurs européens, et ont formé des colonies indépendantes de peuples libres (ou 'Marron'). Dans notre travail, nous étudions quatre communautés Noir Marron de la Guyane française et du Surinam, ainsi que d'autres populations ayant un héritage africain : Brésil et Colombie, ainsi que des populations d'Afrique de l'Ouest : Bénin, Côte-d'Ivoire et Mali. Afin de définir les différentes histoires démographiques, ces populations ont été caractérisées à l'aide de plusieurs marqueurs génétiques des lignées uniparentales: chromosome Y (17 Y-STR et 96 Y-SNP), ADN mitochondrial (génomes complet), et de données pan-génomiques (4,5 millions de SNP). Résultats Les ADN paternels et maternels ont mis en évidence différents modèles de biais sexuels dans les populations afro-brésiliennes et afro-colombiennes, ce qui suggère des comportements de mariages préférentiels. À l'opposé, les communautés Noir Marron présentent l'origine africaine la plus élevée pour tous les systèmes génétiques analysés (supérieure à 98%). Dans ces communautés, on note l'absence de flux génique avec les groupes non-africains, et également des coefficients de consanguinité très élevés. En accord avec les études linguistiques, les communautés Noir Marron montrent une origine géographique africaine associée aux royaumes historiques de l'Afrique de l'Ouest qui existaient au Bénin durant la traite des esclaves. En accord avec les études historiques, l'origine des afro-colombiens montre des liens génétiques avec la région de la Côte de l'Or, et celle des afro-brésiliens avec la région de l'Afrique centrale. Conclusions Cette étude fournit une importante information génétique sur les afro-américains et nous permet de reconstruire les liens brisés avec leur passé africain. Les communautés Noir Marron montrent une identité africaine très élevée, reliée au Golfe du Bénin. Les populations afro-brésiliennes et afro-colombiennes font apparaitre différentes histoires démographiques en raison de leur passé colonial différent. Confronté avec les études historiques, la génétique permet de mieux appréhender l'identité ethnique africaine sur les deux rives de l'Atlantique. / Background The transatlantic slave trade, from the 15th to the 19th centuries, changed dramatically the demography of the Americas. Thousands of enslaved Africans managed to escape from the plantations of European colonizers, and formed independent African settlements of free people (or 'Marron'). Here, we study four Noir Marron communities from French Guiana and Surinam, as well as other populations with noteworthy African heritage in Brazil and Colombia, and West African populations in Benin, Ivory Coast, and Mali. To uncover different population histories, these populations were specifically characterized using different genetic markers based on 17 Y-STRs, 96 Y-SNPs, whole mtDNA genome, and genome-wide SNP data (4.5 million autosomal SNP). Results Paternally and maternally inherited DNA highlighted different patterns of sex-biased gene flow in both Afro-Brazilian and Afro-Colombian populations that suggest different preferential marriage behaviours. In sharp contrast, the Noir Marron communities presented the highest African ancestry in all genetic systems analysed (above 98%). These communities have apparently a null gene flow with non-African groups, and also present elevated inbreeding coefficients. In good agreement with linguistic studies, the Noir Marron communities showed a biogeographical ancestry associated with historical West African Kingdoms that existed in modern Benin during the slave trade. Afro-Colombians indicated genetic ancestry linked with the Gold Coast region. While Afro-Brazilian genetic ancestry was linked with the West Central African region, also supported by historical research. Conclusions This study provides specific genetic information in African Americans and thereby helps us to reconstruct broken links with their African past. The Noir Marron communities revealed a remarkably high African identity, which is still linked to Bight of Benin region. The Afro-Brazilian and Afro-Colombian populations present different demographic histories because of their different colonial pasts. Within an appropriate historical framework, genetic ancestry can add further understanding of ethnicity in African populations throughout the Atlantic world.