46 research outputs found
Towards a Processual Microbial Ontology
Get PDFtypes: ArticleStandard microbial evolutionary ontology is organized according to a
nested hierarchy of entities at various levels of biological organization. It typically
detects and defines these entities in relation to the most stable aspects of evolutionary
processes, by identifying lineages evolving by a process of vertical inheritance
from an ancestral entity. However, recent advances in microbiology indicate
that such an ontology has important limitations. The various dynamics detected
within microbiological systems reveal that a focus on the most stable entities (or
features of entities) over time inevitably underestimates the extent and nature of
microbial diversity. These dynamics are not the outcome of the process of vertical
descent alone. Other processes, often involving causal interactions between entities
from distinct levels of biological organisation, or operating at different time scales,
are responsible not only for the destabilisation of pre-existing entities, but also for
the emergence and stabilisation of novel entities in the microbial world. In this
article we consider microbial entities as more or less stabilised functional wholes,
and sketch a network-based ontology that can represent a diverse set of processes
including, for example, as well as phylogenetic relations, interactions that stabilise
or destabilise the interacting entities, spatial relations, ecological connections, and
genetic exchanges. We use this pluralistic framework for evaluating (i) the existing
ontological assumptions in evolution (e.g. whether currently recognized entities are
adequate for understanding the causes of change and stabilisation in the microbial
world), and (ii) for identifying hidden ontological kinds, essentially invisible from
within a more limited perspective. We propose to recognize additional classes of
entities that provide new insights into the structure of the microbial world, namely ‘‘processually equivalent’’ entities, ‘‘processually versatile’’ entities, and ‘‘stabilized’’
entities.Economic and Social Research Council, U
High Confidence Prediction of Essential Genes in Burkholderia Cenocepacia
Get PDFBACKGROUND: Essential genes are absolutely required for the survival of an organism. The identification of essential genes, besides being one of the most fundamental questions in biology, is also of interest for the emerging science of synthetic biology and for the development of novel antimicrobials. New antimicrobial therapies are desperately needed to treat multidrug-resistant pathogens, such as members of the Burkholderia cepacia complex.
METHODOLOGY/PRINCIPAL FINDINGS: We hypothesize that essential genes may be highly conserved within a group of evolutionary closely related organisms. Using a bioinformatics approach we determined that the core genome of the order Burkholderiales consists of 649 genes. All but two of these identified genes were located on chromosome 1 of Burkholderia cenocepacia. Although many of the 649 core genes of Burkholderiales have been shown to be essential in other bacteria, we were also able to identify a number of novel essential genes present mainly, or exclusively, within this order. The essentiality of some of the core genes, including the known essential genes infB, gyrB, ubiB, and valS, as well as the so far uncharacterized genes BCAL1882, BCAL2769, BCAL3142 and BCAL3369 has been confirmed experimentally in B. cenocepacia.
CONCLUSIONS/SIGNIFICANCE: We report on the identification of essential genes using a novel bioinformatics strategy and provide bioinformatics and experimental evidence that the large majority of the identified genes are indeed essential. The essential genes identified here may represent valuable targets for the development of novel antimicrobials and their detailed study may shed new light on the functions required to support life
3DdSiPM - Digital Photon Counting Microsystem Based on 3D Integration: Architechture and Measurements on 1st Prototype
No full textInternational audienc
3DdSiPM - Digital Photon Counting Microsystem Based on 3D Integration: Architechture and Measurements on 1st Prototype
No full textInternational audienc
