CBL - Campus del Baix Llobregat

Projecte llegit

Títol: Estudio de la distribución estacional de comunidades microbianas

Estudiant que ha llegit aquest projecte:

Tutor/a o Cotutor/a: PRATS SOLER, CLARA

Departament: FIS

Títol: Estudio de la distribución estacional de comunidades microbianas

Data inici oferta: 29-01-2024      Data finalització oferta: 29-02-2024

Estudis d'assignació del projecte:
    GR ENG SIS BIOLÒG 23

Lloc de realització:


En empresa (cal signar un conveni de cooperació)

        Tutor/a Extern: Nestor Arandia Gorostidi
        Institució/Empresa: Institut de Ciències del Mar

Segon tutor/a (UPC): LOPEZ CODINA, DANIEL

Paraules clau:
Bacteris marins, bioinformàtica, sèries temporals, distribució estacional, xarxes ecològiques

Descripció del contingut i pla d'activitats:
La estudiante analizará la distribución temporal de comunidades microbianas marinas para comprender las condiciones ambientales que determinan la presencia de distintas bacterias marinas. Para ello la estudiante utilizará técnicas de programación y bioinformática.

Overview (resum en anglès): Marine microorganisms, essential for oceanic ecosystems, constitute 70% of marine biomass and play a key role in the biogeochemical cycle. Heterotrophic bacteria consume around 50% of the carbon fixed by marine autotrophic organisms, which are responsible for a significant portion of oceanic primary production; in addition, heterotrophic bacteria participate in the transformation of dissolved organic carbon (DOC) and other nutrients, thus contributing to the maintenance of the ecological balance of the oceans. Due to their abundance and diversity, marine bacteria can establish a myriad of interactions among themselves. These microbial interactions include commensalism, mutualism, and parasitism, affecting the ecology and dynamics of the oceans. However, their study is overly complex, as only a minuscule proportion of marine bacteria have been cultured, making it difficult to carry out experimental studies on microbial interactions. For this reason, different computational techniques have been developed in recent years to study microbial interactions. Ecological networks represent an optimal approach to infer these interactions, based on the relative abundances of distinct groups of bacteria. This study focuses on the study of potential microbial interactions using data from the Microbial Observatory of the bay of Blanes. Using taxonomic abundance data of different microbial groups and applying ecological network techniques through different programming languages (such as R and Julia), we analyse potential microbial interactions in the bay of Blanes and compare the results obtained with previous studies. The results reveal a complex network of interactions among marine bacteria, with a predominance of mutualistic and commensal relationships. These findings highlight the importance of advanced computational techniques in understanding marine microbial networks, laying the groundwork for future ecological and conservation studies.

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