H2020Индивидуална стипендия2021–2023

HOPE-4-BEST · The Annotation and Functional Description of Non-Model Bacterial Organisms for Bio-based Engineering and Industry

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2021-10-01 → 2023-10-14
Финансиране от ЕС: 174 806 €
Участници: 1
Схема: MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Компютърни инструменти за анализ на малко познати бактерии ще помогнат за описанието на техните функции и генетични пътища. Това е важно, за да се намали зависимостта от изкопаеми горива чрез създаване на устойчиви биоматериали и химикали.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

The Annotation and Functional Description of Non-Model Bacterial Organisms for Bio-based Engineering and Industry

The growing human population causes numerous global challenges for modern society such as rapid depletion of non-renewable resources, increasing environmental pressure, and climate change. Hence, at least a partial transition from fossil oil-based to bio-based economy is generally considered to be an inevitable step. In this context, industrial (or white) biotechnology aims at profiting from the chemo-synthetic potential of microorganisms, especially bacteria, to convert various renewable resources into a wide range of bulk chemicals and other materials, also referred to as value added chemicals. This represents an up-and-coming approach to decrease humankind’s dependence on limited fossil feedstock. This initiative is taken very seriously in EU mainly by increasing bio-based industry sector and strategy to shift European economy towards sustainable resources and circular economy. Traditional biotechnologies nonetheless suffer from the real limitation lying in a lack of fundamental knowledge regarding regulatory and signalling pathways of various bacteria, preventing the use of novel targeted genetic modifications or other interventions of metabolic engineering necessary to establish economically feasible processes. A computational pipeline for comprehensive description of non-model bacteria and inference of biological knowledge presents the crucial step for future engineering of these microorganisms by the means of synthetic biology and their utilization in industrial biotechnology. The development of computational tools processing data from various experiments that would be utilizable in such pipeline is the overall objective of the project. Project concludes that by relatively simple adjustments of current algorithms we can perform analyses of poorly understood non-model organism that we so far possible only for well-studied model organism. Moreover, it provides a novel tool for precise functional annotation of bacterial genomes and a tool to infer how particular annotated elements interact within regulatory mechanisms present in particular bacterial cells.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The project “The Annotation and Functional Description of Non-Model Bacterial Organisms for Bio-based Engineering and Industry (HOPE-4-BEST)” aims to bring new bioinformatics and systems biology tools for a comprehensive description of little studied microorganisms and inference of biological knowledge further utilizable in synthetic biology for engineering of industrially utilizable bacterial strains. Bacteria form the largest group of organisms in the world. Since the DNA and RNA sequencing became widely available, they begun to be often studied on molecular level for their exceptional biological properties, e.g. ability to produce fuels or plastics from waste. Unfortunately, previous lack of interest in their research is the source of many obstacles in bioinformatics and systems biology data processing as current tools, designed primarily for eukaryotic model organisms, cannot be easily used for processing data gathered from non-model bacterial organisms. Inference of biological knowledge presumes identification of regulated genes and annotation of their molecular function so involved biological processes could be captured. The project addresses two important questions, how to assemble a comprehensive functional annotation for non-model organisms and how it affects inferred biological knowledge. This will be achieved by designing novel pipeline utilizing transcriptome wide analysis based on comparison of samples under various conditions while considering data bias, e.g. multimapping reads or overlapping genes, and its combination with annotation build by extensive database searching. Eventually, the successful solution of the project will not only substantially contribute to our understanding how various parameters of bioinformatics data processing and annotation affect resulting biological knowledge, but will provide ready-to-use solution for wide scientific community.

Оригинален текст от CORDIS (на английски).

Участници

LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN · PlaneggКоординаторГермания