A Floresta Ombrófila Mista também chamada de Floresta de Araucária representa um dos mais ricos remanescentes de florestas pluviais subtropicais brasileiras, tendo como principal representante a Araucaria angustifolia, espécie considerada ameaçada de extinção. A diversidade microbiana possui um importante papel no funcionamento e manutenção do equilíbrio dos ecossistemas florestais, mas é desconhecida em solos com araucária. O presente estudo teve como objetivo avaliar a diversidade, funcionalidade e estrutura das comunidades microbianas em florestas de Araucaria angustifolia natural, introduzida e impactada pela queima acidental. O estudo foi realizado no Parque Estadual de Campos de Jordão, SP, tendo como áreas de estudo: floresta nativa com predomínio de araucária (FN), reflorestamento de araucária (RF), e reflorestamento de araucária com queima acidental em julho de 2001 (RQ). Em cada área, foram escolhidas ao acaso dez árvores de araucária e ao redor de cada árvore coletou-se uma amostra composta de três subamostras. Foram avaliados atributos químicos, microbiológicos, estrutura das comunidades de Bacteria e Archaea por PCR-DGGE e seqüenciamento parcial do gene rRNA 16S de Bacteria, análise da capacidade de utilização de substratos de carbono (Biolog) e perfis de ácidos graxos ligados a ésteres de fosfolipídios (PLFAs). As áreas são caracterizadas por solos ácidos, com elevado conteúdo de matéria orgânica (MO) e baixa disponibilidade de cátions metálicos básicos. A área FN apresentou maiores teores de carbono da biomassa microbiana (CBM), atividade respiratória basal (C-CO2) e relação carbono da biomassa microbiana: carbono orgânico total (CBM:COT), comparada ao RF e RQ. Os maiores valores de quociente metabólico (qCO2) foram encontrados no RQ quando comparado a FN e RF. A análise canônica discriminante identificou o atributo microbiano qCO2 e químicos, Mg e pH, como sendo responsáveis pela discriminação das áreas, seguidos do teor de P. A análise de PCRDGGE revelou que as estruturas das comunidades bacterianas de FN e RQ foram mais similares entre si do que em RF. A análise de escala multidimensional (NMDS) com ANOSIM baseada nos perfis de amplicons de Bacteria mostrou que as três áreas são diferentes entre si, enquanto para Archaea não houve diferença entre as áreas estudadas. A afiliação taxonômica das seqüências de clones do gene rRNA 16S mostrou que o solo de FN apresenta uma maior diversidade de táxons. Os filos Proteobacteria e Actinobacteria foram os mais freqüentes nas três áreas. A maior diversidade estimada pelo índice de Shannon foi encontrada em RQ, em comparação a FN e RF. A análise por Biolog mostrou que área FN apresenta a maior taxa de utilização de substratos, em relação RF e RQ, as quais não diferiram entre si. Os perfis de PLFAs não apresentaram diferenças entre as áreas estudadas. Observou-se uma maior biomassa bacteriana, principalmente de Gram-positivas, quando comparada a biomassa fúngica de PLFAs das áreas estudadas. As análises multivariadas apresentaram-se como importantes ferramentas no estudo de diversidade microbiana, sendo os atributos químicos e microbiológicos do solo úteis para a interpretação dos resultados obtidos. / The Ombrophilic Mixed Forest, also called Araucaria Forest, represents one of the richest remainders of subtropical pluvial forests in Brazil. Its main representative species is the endangered Araucaria angustifolia. The microbial diversity plays an important role in functioning of forest ecosystems. However, the microbial diversity in soils with araucaria forests is mostly unknown. The aim of this work was to evaluate the diversity, structure of microbial communities in their possible functions in a natural preserved araucaria forest (FN), a planted araucaria forest (RF) and a planted araucaria forest impacted by accidental fire (RQ). The study was carried out at the State Park of Campos of Jordão (SP). For each area, ten araucaria trees were randomly selected and a sample composed of three sub-samples was collected at approximately one meter from the trunk of each tree. Chemical and microbiological attributes, as well as structures of bacterial and archaeal communities were evaluated using PCR-DGGE and the partial sequencing of the 16S rRNA gene from Bacteria, community level physiological profiles using Biolog, the phospholipid fatty acids profiles (PLFAs). The studied areas were characterized by acidic soils, with high content of organic matter (OM) and low availability of basic metallic cations. The area FN presented the highest contents of carbon in the microbial biomass (CBM), higher basal respiration activity (C-CO2) and higher microbial biomass carbon: total organic carbon ratio (CBM:TOC), compared to RF and RQ. The highest values of metabolic quotient (qCO2) were observed in RQ, when compared to FN and RF. Using canonical discriminant analysis (CDA), qCO2, Mg concentration and pH were identified as the main attributes responsible for the discrimination of the areas, followed by the P concentration. The PCR-DGGE analysis revealed that the bacterial community structures in FN and RQ share higher levels of similarity, as compared to RF. Non-metric multidimensional scale analysis (NMDS) and ANOSIM based on the profiles of bacterial 16S rRNA gene amplicons showed that the all three areas had different bacterial communities, whereas archaeal communities were similar, based on 16S rRNA genes amplicon profiles. The phylogenetic affiliation of 16S rRNA gene clone sequences showed that soil from FN presents higher taxa diversity, as compared to RF and RQ. The phyla Proteobacteria and Actinobacteria were the most frequent in the three areas studied. Higher Shannon index was observed in RQ soil than FN and RF soils. Biolog analysis showed that FN has the highest substrate utilization rates, when compared to RF and RQ, which did not show significant differences. In general, PLFAs profiles did not show differences for the areas studied. Estimated bacterial biomass was higher than fugal biomass, with predominance of Gram-positive bacteria. Integration of chemical and microbial attributes through multivariate analyses is essential for identifying the factors determining microbial community structure in forest soils.

[Truncated abstract] In Australia, there is pressure to reduce the amount of methane produced by ruminant livestock because they are the single largest source of methane emitted from anthropogenic sources, accounting for 70.7% of agricultural methane emissions. In addition, methane production represents a loss of gross energy intake to the animal. The organisms that are responsible for methane production in the animal gut are a distinct group of Archaea called methanogens. Methanogens occupy three different niches within the rumen. Some live freely in the rumen digesta (planktonic), others are attached to the outer surface of the rumen ciliates (ectosymbiotic), and some reside within the ciliates (endosymbiotic). The types and number of methanogens, as well as rumen ciliates and their symbiotic interactions, influence the amount of methane produced from the rumen. These factors in turn are affected by many factors, including diet and ruminal retention time. In this thesis, I tested the general hypothesis that increasing the amount of grain in the diet and reducing the retention time would affect the abundance and diversity of methanogens in their different niches, including their association with ruminal ciliates. Twenty-four fistulated sheep were used in a complete factorial design with the sheep randomly divided into four groups. ... The change in DGGE banding patterns and Shannon indices when sheep were fed grain indicated that the types of methanogens changed when sheep were fed low and high grain diets, but their diversity did not. In contrast, the diversity of rumen ciliates decreased when sheep were fed a high grain diet. A total of 18 bands from the DGGE analysis of the ciliates were sequenced. All except one, which was 98% similar to Cycloposthium sp. not found previously in the rumen, matched the sequences for previously identified rumen ciliates. Some of the rumen ciliates identified were not present in sheep fed the high grain diet. On a high grain diet, methanogens associate endosymbiotically with rumen ciliates to get better access to hydrogen. It appears that the association between methanogens and rumen ciliates is dictated by the availability of hydrogen in the rumen and not the generic composition of the ciliate population. Furthermore, endosymbiotic methanogens appear to produce less methane than methanogens in other niches. The pot scrubbers did not change ruminal retention time but they did reduce the acetate/propionate measurements observed in sheep on the high grain treatment. The reason why pot scrubbers had this effect remains unknown, but it is interesting to consider that some physical interaction has occurred between the pot scrubbers, the grain and the sheep that has improved the fermentation parameters in sheep fed a high grain diet. The results from this study have advanced our understanding of the interaction between methanogens and ruminal ciliates, and methanogenesis in the rumen in response to dietary changes and mechanical challenges. Extending this work to look more specifically at the species of methanogens that are most closely linked to high methane production and how they interact with the ruminal ciliates will be critical for manipulating enteric greenhouse gas emissions.

This thesis describes the characterization of SsoPox, a lactonase with promiscuous phosphotriesterase activity from the hyperthermophilic archaeon, Sulfolobus solfataricus, and the potential of the phosphotriesterase from Brevundimonas diminuta (PTEBd) to function as an organophosphate sensor. Arg-223 and Tyr-99 of SsoPox are not essential for lactonase activity, however substitution of a phenylalanine in place of Tyr-97 abolished lactonase activity while reducing paraoxonase activity by 20-fold. Substrate specificity of SsoPox can be modulated through the partial blockage of the hydrophobic binding tunnel adjacent to the active site. The specificity constant for N-(3-oxo-decanoyl)-L-homoserine lactone decreased 37-fold when a phenylalanine was introduced in place of Leu-226. PTEBd was expressed and purified from Pseudomonas putida and, like SsoPox, can be immobilized to Disruptor paper. The immobilized enzyme can be used to detect five organophosphates at concentrations as low as 50 μM. Incubation of PTEBd-immobilized sensors at different temperatures proved that the enzyme is stable for at least 40 days at 23.5 degrees Celsius without any detectable change in activity.

Les transferts horizontaux de gènes (THG) ont été démontrés pour jouer un rôle important dans l'évolution des procaryotes. Leur impact a été le sujet de débats intenses, ceux-ci allant même jusqu'à l'abandon de l'arbre des espèces. Selon certaines études, un signal historique dominant est présent chez les procaryotes, puisque les transmissions horizontales stables et fonctionnelles semblent beaucoup plus rares que les transmissions verticales (des dizaines contre des milliards). Cependant, l'effet cumulatif des THG est non-négligeable et peut potentiellement affecter l'inférence phylogénétique. Conséquemment, la plupart des chercheurs basent leurs inférences phylogénétiques sur un faible nombre de gènes rarement transférés, comme les protéines ribosomales. Ceux-ci n'accordent cependant pas autant d'importance au modèle d'évolution utilisé, même s'il a été démontré que celui-ci est important lorsqu'il est question de résoudre certaines divergences entre ancêtres d'espèces, comme pour les animaux par exemple. Dans ce mémoire, nous avons utilisé des simulations et analyser des jeux de données d'Archées afin d'étudier l'impact relatif des THG ainsi que l'impact des modèles d'évolution sur la précision phylogénétique. Nos simulations prouvent que (1) les THG ont un impact limité sur les phylogénies, considérant un taux de transferts réaliste et que (2) l'approche super-matrice est plus précise que l'approche super-arbre. Nous avons également observé que les modèles complexes expliquent non seulement mieux les données que les modèles standards, mais peuvent avoir un impact direct sur différents groupes phylogénétiques et sur la robustesse de l'arbre obtenu. Nos résultats contredisent une publication récente proposant que les Thaumarchaeota apparaissent à la base de l'arbre des Archées. / Horizontal gene transfer (HGT) had been demonstrated to play an important role in the evolution of prokaryotes. Their impact on phylogeny was the subject of a heated debate, with some proposing that the concept of a species tree should be abandoned. The phylogeny of prokaryotes does contain a major part of the historical signal, because stable and functional horizontal transmissions appear to be by far rarer than vertical transmissions (tens versus billions). However, the cumulative effect of HGT is non-negligible and can potentially affect phylogenetic inference. Therefore, most researchers base their phylogenetic inference on a low number of rarely transferred genes such as ribosomal proteins, but they assume the selection of the model of evolution as less important, this despite the fact that it has been shown of prime importance for much less deep divergences, e.g. like animals. Here, we used a combination of simulations and of real data from Archaea to study the relative impact of HGT and of the inference methods on the phylogenetic accuracy. Our simulations prove that (1) HGTs have a limited impact on phylogeny, assuming a realistic rate and (2) the supermatrix is much more accurate than the supertree approach. We also observed that more complex models of evolution not only have a better fit to the data, but can also have a direct impact on different phylogenetic groups and on the robustness of the tree. Our results are in contradiction to a recent publication proposing that the Thaumarchaeota are at the base of the Archaeal tree.

En 1977, Carl Woese sépare les procaryotes en deux grands groupes en proposant une nouvelle classification basée sur des critères phylogénétiques. Les Archaea deviennent ainsi un domaine à part entière aux cotés des Bacteria et des Eucarya. Depuis, la compréhension de ce nouveau groupe et de ses relations avec les deux autres domaines, essentielles pour comprendre l'évolution ancienne du vivant, est largement passée par l'étude de leur phylogénie. Presque 40 ans de recherche sur les archées ont permis de faire évoluer leur image : de bactéries vivant dans des milieux spécialisés, souvent extrêmes, on est passé à un domaine indépendant, très diversifié aussi bien génétiquement, métaboliquement ou encore écologiquement. Ces dernières années la barre symbolique de cent génomes complets d'archées séquencés a été franchie et, parallèlement, les projets génomiques et métagénomiques sur des groupes peu caractérisés ou de nouvelles lignées de haut rang taxonomique (e.g. Nanohaloarchaea, Thaumarchaeota, ARMAN, Aigarchaeota, groupe MGC, groupe II des Euryarchaeota, etc.) se sont multipliés. Tout ceci apporte un matériel sans précédent pour l'étude de l'histoire évolutive et de la diversité des Archaea. Les protéines ribosomiques ont été utilisées de façon courante pour inférer la position phylogénétique des nouvelles lignées d'Archaea. Néanmoins, les phylogénies résultantes ne sont pas complètement résolues, laissant des interrogations concernant d'importantes relations de parenté. La recherche de nouveaux marqueurs est donc cruciale et c'est dans ce contexte que mon projet de thèse s'inscrit. À partir de l'analyse des génomes de deux Thaumarchaeota et d'une Aigarchaeota, nous avons identifié 200 protéines conservées et bien représentées dans les différents phyla d'archées. Ces protéines sont impliquées dans de nombreux processus cellulaires, ce qui peut apporter un signal phylogénétique complémentaire à celui des marqueurs de type informationnel utilisés par le passé. En plus de confirmer la plupart des relations phylogénétiques inférées à partir de ces derniers (i.e., protéines ribosomiques et sous unités de l'ARN polymérase), l'analyse phylogénétique de ces nouveaux marqueurs apporte un signal permettant une meilleure résolution de la phylogénie des archées et la clarification de certaines relations jusqu'ici confuses. Un certain nombre de ces nouveaux marqueurs sont aussi présents chez les bactéries. Les relations entre les grands phyla d'archées restant encore non résolues, nous avons utilisé ces protéines pour essayer de placer la racine de l'arbre des Archaea en utilisant comme groupe extérieur les bactéries. Nous avons ainsi pu identifier 38 protéines, parmi les 200 sélectionnées précédemment, ayant un signal phylogénétique suffisamment fiable pour cette étude, auxquelles nous avons ajouté 32 protéines ribosomiques universelles. L'utilisation conjointe de ces données nous a permis de placer la racine entre les Euryarchaeota, d'une part, et un groupe rassemblant les Thaumarchaeota, les Aigarchaeota, les Korarchaeota et les Crenarchaeota, d'autre part. Ce nouvel éclairage sur l'évolution ancienne des archées nous a amené à proposer une révision de leur taxonomie avec, principalement, la création du nouveau phylum "Proteoarchaeota" contenant les quatre phyla actuels que nous proposons de rétrograder en classes : Thaumarchaea, Aigarchaea, Korarchaea et Crenarchaea.Finalement, l'analyse des protéines codées dans les trois génomes qui ont servi de point de départ de ma thèse nous a permis de générer une masse considérable de données qui ont révélé des traits particuliers ou encore des histoires évolutives inattendues. Un exemple est l'histoire du complexe formé par la chaperonne DnaK et de ses co-chaperonnes GrpE, DnaJ, et DnaJ-Fer chez les Thaumarchaeota, impliquant plusieurs transferts horizontaux entre les trois domaines du vivant.

A Floresta Ombrófila Mista também chamada de Floresta de Araucária representa um dos mais ricos remanescentes de florestas pluviais subtropicais brasileiras, tendo como principal representante a Araucaria angustifolia, espécie considerada ameaçada de extinção. A diversidade microbiana possui um importante papel no funcionamento e manutenção do equilíbrio dos ecossistemas florestais, mas é desconhecida em solos com araucária. O presente estudo teve como objetivo avaliar a diversidade, funcionalidade e estrutura das comunidades microbianas em florestas de Araucaria angustifolia natural, introduzida e impactada pela queima acidental. O estudo foi realizado no Parque Estadual de Campos de Jordão, SP, tendo como áreas de estudo: floresta nativa com predomínio de araucária (FN), reflorestamento de araucária (RF), e reflorestamento de araucária com queima acidental em julho de 2001 (RQ). Em cada área, foram escolhidas ao acaso dez árvores de araucária e ao redor de cada árvore coletou-se uma amostra composta de três subamostras. Foram avaliados atributos químicos, microbiológicos, estrutura das comunidades de Bacteria e Archaea por PCR-DGGE e seqüenciamento parcial do gene rRNA 16S de Bacteria, análise da capacidade de utilização de substratos de carbono (Biolog) e perfis de ácidos graxos ligados a ésteres de fosfolipídios (PLFAs). As áreas são caracterizadas por solos ácidos, com elevado conteúdo de matéria orgânica (MO) e baixa disponibilidade de cátions metálicos básicos. A área FN apresentou maiores teores de carbono da biomassa microbiana (CBM), atividade respiratória basal (C-CO2) e relação carbono da biomassa microbiana: carbono orgânico total (CBM:COT), comparada ao RF e RQ. Os maiores valores de quociente metabólico (qCO2) foram encontrados no RQ quando comparado a FN e RF. A análise canônica discriminante identificou o atributo microbiano qCO2 e químicos, Mg e pH, como sendo responsáveis pela discriminação das áreas, seguidos do teor de P. A análise de PCRDGGE revelou que as estruturas das comunidades bacterianas de FN e RQ foram mais similares entre si do que em RF. A análise de escala multidimensional (NMDS) com ANOSIM baseada nos perfis de amplicons de Bacteria mostrou que as três áreas são diferentes entre si, enquanto para Archaea não houve diferença entre as áreas estudadas. A afiliação taxonômica das seqüências de clones do gene rRNA 16S mostrou que o solo de FN apresenta uma maior diversidade de táxons. Os filos Proteobacteria e Actinobacteria foram os mais freqüentes nas três áreas. A maior diversidade estimada pelo índice de Shannon foi encontrada em RQ, em comparação a FN e RF. A análise por Biolog mostrou que área FN apresenta a maior taxa de utilização de substratos, em relação RF e RQ, as quais não diferiram entre si. Os perfis de PLFAs não apresentaram diferenças entre as áreas estudadas. Observou-se uma maior biomassa bacteriana, principalmente de Gram-positivas, quando comparada a biomassa fúngica de PLFAs das áreas estudadas. As análises multivariadas apresentaram-se como importantes ferramentas no estudo de diversidade microbiana, sendo os atributos químicos e microbiológicos do solo úteis para a interpretação dos resultados obtidos. / The Ombrophilic Mixed Forest, also called Araucaria Forest, represents one of the richest remainders of subtropical pluvial forests in Brazil. Its main representative species is the endangered Araucaria angustifolia. The microbial diversity plays an important role in functioning of forest ecosystems. However, the microbial diversity in soils with araucaria forests is mostly unknown. The aim of this work was to evaluate the diversity, structure of microbial communities in their possible functions in a natural preserved araucaria forest (FN), a planted araucaria forest (RF) and a planted araucaria forest impacted by accidental fire (RQ). The study was carried out at the State Park of Campos of Jordão (SP). For each area, ten araucaria trees were randomly selected and a sample composed of three sub-samples was collected at approximately one meter from the trunk of each tree. Chemical and microbiological attributes, as well as structures of bacterial and archaeal communities were evaluated using PCR-DGGE and the partial sequencing of the 16S rRNA gene from Bacteria, community level physiological profiles using Biolog, the phospholipid fatty acids profiles (PLFAs). The studied areas were characterized by acidic soils, with high content of organic matter (OM) and low availability of basic metallic cations. The area FN presented the highest contents of carbon in the microbial biomass (CBM), higher basal respiration activity (C-CO2) and higher microbial biomass carbon: total organic carbon ratio (CBM:TOC), compared to RF and RQ. The highest values of metabolic quotient (qCO2) were observed in RQ, when compared to FN and RF. Using canonical discriminant analysis (CDA), qCO2, Mg concentration and pH were identified as the main attributes responsible for the discrimination of the areas, followed by the P concentration. The PCR-DGGE analysis revealed that the bacterial community structures in FN and RQ share higher levels of similarity, as compared to RF. Non-metric multidimensional scale analysis (NMDS) and ANOSIM based on the profiles of bacterial 16S rRNA gene amplicons showed that the all three areas had different bacterial communities, whereas archaeal communities were similar, based on 16S rRNA genes amplicon profiles. The phylogenetic affiliation of 16S rRNA gene clone sequences showed that soil from FN presents higher taxa diversity, as compared to RF and RQ. The phyla Proteobacteria and Actinobacteria were the most frequent in the three areas studied. Higher Shannon index was observed in RQ soil than FN and RF soils. Biolog analysis showed that FN has the highest substrate utilization rates, when compared to RF and RQ, which did not show significant differences. In general, PLFAs profiles did not show differences for the areas studied. Estimated bacterial biomass was higher than fugal biomass, with predominance of Gram-positive bacteria. Integration of chemical and microbial attributes through multivariate analyses is essential for identifying the factors determining microbial community structure in forest soils.

La reconstruction et la résurrection moléculaire de protéines ancestrales est au coeur de cette thèse. Alors que les données moléculaires fossiles sont quasi inexistantes, il est possible d'estimer quelles étaient les séquences ancestrales les plus probables le long d'un arbre phylogénétique décrivant les relations de parentés entre séquences actuelles. Avoir accès à ces séquences ancestrales permet alors de tester de nombreuses hypothèses biologiques, de la fonction des protéines ancestrales à l'adaptation des organismes à leur environnement. Cependant, ces inférences probabilistes de séquences ancestrales sont dépendantes de modèles de substitution fournissant les probabilités de changements entre acides aminés. Ces dernières années ont vu le développement de nouveaux modèles de substitutions d'acides aminés, permettant de mieux prendre en compte les phénomènes biologiques agissant sur l'évolution des séquences protéiques. Classiquement, les modèles supposent que le processus évolutif est à la fois le même pour tous les sites d'un alignement protéique et qu'il est resté constant au cours du temps lors de l'évolution des lignées. On parle alors de modèle homogène en temps et en sites. Les modèles récents, dits hétérogènes, ont alors permis de lever ces contraintes en permettant aux sites et/ou aux lignées d'évoluer selon différents processus. Durant cette thèse, de nouveaux modèles hétérogènes en temps et sites ont été développés en Maximum de Vraisemblance. Il a notamment été montré qu'ils permettent d'améliorer considérablement l'ajustement aux données et donc de mieux prendre en compte les phénomènes régissant l'évolution des séquences protéiques afin d'estimer de meilleurs séquences ancestrales. A l'aide de ces modèles et de reconstruction ou résurrection de protéines ancestrales en laboratoire, il a été montré que l'adaptation à la température est un déterminant majeur de la variation des taux évolutifs entre lignées d'Archées. De même, en appliquant ces modèles hétérogènes le long de l'arbre universel du vivant, il a été possible de mieux comprendre la nature du signal évolutif informant de manière non-parcimonieuse un ancêtre universel vivant à plus basse température que ses deux descendants, à savoir les ancêtres bactériens et archéens. Enfin, il a été montré que l'utilisation de tels modèles pouvait permettre d'améliorer la fonctionnalité des protéines ancestrales ressuscitées en laboratoire, ouvrant la voie à une meilleure compréhension des mécanismes évolutifs agissant sur les séquences biologiques / The molecular reconstruction and resurrection of ancestral proteins is the major issue tackled in this thesis manuscript. While fossil molecular data are almost nonexistent, phylogenetic methods allow to estimate what were the most likely ancestral protein sequences along a phylogenetic tree describing the relationships between extant sequences. With these ancestral sequences, several biological hypotheses can be tested, from the evolution of protein function to the inference of ancient environments in which the ancestors were adatapted. These probabilistic estimations of ancestral sequences depend on substitution models giving the different probabilities of substitution between all pairs of amino acids. Classicaly, substitution models assume in a simplistic way that the evolutionary process remains homogeneous (constant) among sites of the multiple sequence alignment or between lineages. During the last decade, several methodological improvements were realised, with the description of substitution models allowing to account for the heterogeneity of the process among sites and in time. During my thesis, I developed new heterogeneous substitution models in Maximum Likelihood that were proved to better fit the data than any other homogeneous or heterogeneous models. I also demonstrated their better performance regarding the accuracy of ancestral sequence reconstruction. With the use of these models to reconstruct or resurrect ancestral proteins, my coworkers and I showed the adapation to temperature is a major determinant of evolutionary rates in Archaea. Furthermore, we also deciphed the nature of the phylogenetic signal informing substitution models to infer a non-parsimonious scenario for the adaptation to temperature during early Life on Earth, with a non-hyperthermophilic last universal common ancestor living at lower temperatures than its two descendants. Finally, we showed that the use of heterogeneous models allow to improve the functionality of resurrected proteins, opening the way to a better understanding of evolutionary mechanisms acting on biological sequences

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