Magnetotactic Bacteria: Isolation, Imaging, and Biomineralization
Notice bibliographique
Résumé
Magnetotactic bacteria (MTB) are a specialized group of bacteria that produce very small magnets inside their cells.There are a number of reasons that I decided to study these particular microorganisms.MTB are universally found in aquatic environments and they can be isolated with a simple magnet.These bacteria have the distinct ability to synthesize nanometer-scale crystals of magnetite (Fe 3 O 4 ) or greigite (Fe 3 S 4 ) inside their cells.This type of biomineralization serves as a model for mineral formation in more complex organisms such as birds, bees, and fish.The magnetite from MTB can be used as a biomarker, called magnetofossils, for past life on earth as well as possible extraterrestrial life forms (e.g., putative magnetofossils in Martian meteorites such as the Allan Hills meteorite).Magnetofossils are novel biomarkers because the magnetite from MTB has a specific crystal shape, narrow size range, and flawless chemical composition, which make them easily identified as biological origin.These same crystallographic attributes could also be exploited in biomimicry.For example, in vitro synthesis of magnetic crystals could have applications in medicine, electronic storage devices, and even environmental remediation.The work in this dissertation touches on all of these concepts.For the environmental isolation of MTB, I collected water samples from two field sites, an arsenic-rich hot spring in Oregon (Mickey Hot Spring) and a freshwater, microbialite-containing lake in British Columbia, Canada (Pavilion Lake).These sites were selected because MTB have never been isolated from these locations, and these two iii sites are often used as proxies for conditions on the early Earth or extraterrestrial bodies.To isolate MTB from these two samples, I used a relatively simple method that takes advantage of a bar magnet and capillary racetrack created using a cotton-plugged glass pipette.The MTB from Mickey Hot Spring in Oregon were rod to vibrioid-shaped cells that were 2.2 (± 0.6) µm long and 0.62 (± 0.1) µm wide.The magnetosomes were composed of bullet-shaped crystals of magnetite that were 84 (± 17) nm long and 39 (± 8) nm wide.These magnetosomes from the Mickey Hot Spring specimens were usually arranged in a single chain.The 16S rRNA gene sequence analysis identified the Mickey Hot Spring specimens as part of the Nitrospirae phylum.MTB isolated from Lake Pavilion in British Columbia were spirillum-shaped cells that were 2.9 (± 0.6) µm long 0.34 (± 0.02) µm wide (n = 7).Their magnetite crystals were 47 (± 5) nm long and 44 (± 5) nm wide.The magnetosomes were arranged in a single chain.The 16S rRNA analysis showed that the Lake Pavilion cells were from the Alphaproteobacteria phylum.After isolating MTB from two different environments, I turned my attention to the biomineralization of magnetite within MTB.For this portion of my dissertation, I examined a protein called Mms-6, which has recently been shown to play a key role in the nucleation and/or growth of magnetite.I used high-resolution transmission electron microscopy (TEM) to examine gold-conjugated, immunolabeled Mms-6 in thin sections of Magnetospirillum magneticum AMB-1.I found that the Mms-6 proteins are not located on the cell membrane or within the cytoplasm, but are only clustered on the magnetosome membrane.This was confirmed by using confocal laser scanning microscopy on Mms-6 proteins labeled with green fluorescence proteins in cells of M. after 75 months of doing my PhD it is hard to remember everyone.Steven Lower and Brian Lower for advising me, providing me with support and giving me the opportunity
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».