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Enregistrement W2150522850 · doi:10.1093/biosci/biv036

Bacteria: Master Microbial Colonizers

2015· article· it· W2150522850 sur OpenAlexaff
Marcia Stone

Notice bibliographique

RevueBioScience · 2015
Typearticle
Langueit
DomaineEnvironmental Science
ThématiqueMicrobial Community Ecology and Physiology
Établissements canadiensWorld Federation of Science Journalists
Organismes subventionnairesnon disponible
Mots-clésBacteriaBiologyMicrobiologyGenetics

Résumé

récupéré en direct d'OpenAlex

In what some researchers believe to be one of the biggest cellular migrations in the 3.5-billion-year history of Earth, cyanobacteria armed with unique photosynthesizing capabilities used their predators as vehicles to carry them beyond the planet’s ancient oceans onto land, where, together with their hosts, they gave rise to plants. Cyanobacteria are now every place you look, coloring plant leaves green on land and floating wild in the seas. Today, bacteria not only travel far and wide, but they also go deep. For example, a diverse array of these biochemically clever little cells, along with their sister prokaryotes, the Archaea, have recently been discovered alive and well in a subglacial lake 800 meters below the West Antarctic Ice Sheet. “We don’t know the absolute age of the ecosystem, but the lake has been there for at least centuries,” says Brent Christner at Louisiana State University, in Baton Rouge. Christner and 26 colleagues from around the world used direct sequencing and other approaches to characterize the ecology of water and sediments from subglacial Lake Whillans and revealed a previously hidden microbial community, as they described in the 21 August 2014 issue of Nature. “Water enters and exits the lake so microbes and nutrients are continuously available. Although the lake may be isolated from the atmosphere, it has ample opportunity to interact with the hydrologic and sedimentary systems beneath the Antarctic ice sheet,” Christner explains. “This work provides a glimpse of the [rich] microbial life that lurks under more than 5 million square miles of ice,” he adds. The results of another innovative study using deep sequencing show that modern bacteria are able to colonize new—albeit considerably smaller— spaces within days, not decades. Jack A. Gilbert, at the University of Chicago, in Chicago, Illinois, leading an international scientific team, recently tracked the microbiology of seven ethnically diverse families and their homes over a 6-week period. Indoor environments harbor distinct microbial fingerprints that reflect the microbiomes of their occupants, report the researchers. They also discovered that a bacterial takeover occurred within a day or two of a change in human tenants: The new microbiomes quickly superseded any existing competitive microbial colonization, according to Gilbert. “Bacteria are experts at adapting to just about any ecological niche and thriving despite overwhelming adversity,” Jiadong Chen and Susan Gottesman wrote in the 22 August 2014 issue of Science magazine. “The successful bacterium doesn’t waste valuable resources such as RNA and protein for unnecessary processes and this requires the ability to sense and respond to changing conditions,” they noted. RNA-based regulation plays an important role in this sensing ability of bacteria, according to Danielle A. Garsin, at the University of Texas Health Center at Houston. Garsin and her colleagues have spent the past eight years working out the biochemical and genetic mechanisms of an integrated RNA-based bacterial switching system that turns the pathway for the use of a nutrient called ethanolamine on and off. When ethanolamine is sensed in the environment, a regulatory protein turns the nutrient’s degrading system on, and its bits and pieces are used as food. However, when coenzyme B12, a vitamin derivative that helps degrade ethanolamine, is not available but the nutrient itself is, a small regulatory RNA (sRNA) blocks the synthesis of ethanolamine-degrading proteins (which without a coenzyme to help would be a waste) and acts as an off switch, according to Garsin. It also appears that, when B12 is available, it binds to the sRNA and shortens it. The shortened sRNA can no longer block expression of ethanolamine-degradation genes; “thus, the proteins that degrade ethanolamine are generated,” Garsin explains. Such multiple levels of RNA regulation are not unexpected, conclude Chen and Gottesman, who expect many more to be found. RNAist Ronald Breaker at Yale University explains that, in contrast to other known noncoding RNAs, riboswitches form binding pockets that hold specific metabolites tight. However, he notes that “today’s riboswitches compete for binding with proteins which are very common and also can have higher affinity and greater specificity, making them an excellent option for evolving new sensors. Thus, a protein rather than RNA will most likely be tapped by a cell when a new metabolite-sensing factor is needed for gene control.” The fact that metabolic-binding riboswitches are widespread in the face of fierce competition from proteins is evidence that RNA evolved first, making it likely that cyanobacteria as well as all the other bacteria colonizing Earth today inherited some of their most sophisticated biochemical skills from long-ago ancestors in the RNA world. “Thus, it’s not only possible, it’s probable, that the riboswitches we see in modern cells are distant relatives of the metabolite-binding RNAs present before the evolution of proteins,” Breaker asserts.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,848
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,002
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0100,011

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,046
Tête enseignante GPT0,240
Écart entre enseignants0,194 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2015
Routes d'admission1
Résumé présentoui

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