However, the molecular biology of the microalgae has not been fully
explored yet. We argue that the implementation of novel bioinformatics
techniques will help to elucidate microalgal molecular mechanisms
with implications on their exploitability. The present virtual protein
interactomic study employed such novel bioinformatics methods to
the proteomes of five diverse microalgal organisms, including green
algae (V. carteri, C. reinhardtii, C. variabilis, O. lucimarinus), red algae
(C. merolae)anddiatoms(P. tricornutumand T. pseudonana). Overall
we have identified five fusion and fission events, thereby obtaining important
information on putative novel protein interactions. Interestingly,
three of the five events are involved in metabolic pathways. Moreover,
by employing homology modeling we predicted the three-dimensional
structures of the identified component proteins or complexes. Comparative
analysis of the evolutionary fate of the fusion and fission events
allowed us to propose hypotheses regarding the timing of these events.
We also indentified an incident of horizontal gene transfer in the bacterium
T. maritima. There is an urgent need for an in-depth understanding
of the molecular mechanisms of microalgal species for practical applica-
tions and the translation of this knowledge into anthropogenic as well as
complex natural ecosystems which are on the verge of unbalance. The
solution to this key challenge in this post-genomic era can be envisioned
through the application of systems biology approaches in order to enrich
the knowledge in the microalgal field. Bridging the gap between virtual
interactomics and structural bioinformatics with experimental findings
in microalgae can be achieved through high throughput profiling data
and in silico modeling and we can ideate their integration with observations
at the cellular scale in order to extend our understanding of
microalgal species beyond the analysis of experimental observations.
The power of utilizing bioinformatics methodology approaches in conjunction
with classical experimental procedures can expand the gained
insight into the underpinning of the microalgal molecular functions,
with an immediate effect on practical applications having socioeconomic
facets, as well as enabling the finer control of the natural
and antropogenic terrestrial and space ecosystems.
However, the molecular biology of the microalgae has not been fullyexplored yet. We argue that the implementation of novel bioinformaticstechniques will help to elucidate microalgal molecular mechanismswith implications on their exploitability. The present virtual proteininteractomic study employed such novel bioinformatics methods tothe proteomes of five diverse microalgal organisms, including greenalgae (V. carteri, C. reinhardtii, C. variabilis, O. lucimarinus), red algae(C. merolae)anddiatoms(P. tricornutumand T. pseudonana). Overallwe have identified five fusion and fission events, thereby obtaining importantinformation on putative novel protein interactions. Interestingly,three of the five events are involved in metabolic pathways. Moreover,by employing homology modeling we predicted the three-dimensionalstructures of the identified component proteins or complexes. Comparativeanalysis of the evolutionary fate of the fusion and fission eventsallowed us to propose hypotheses regarding the timing of these events.We also indentified an incident of horizontal gene transfer in the bacteriumT. maritima. There is an urgent need for an in-depth understandingof the molecular mechanisms of microalgal species for practical applica-tions and the translation of this knowledge into anthropogenic as well ascomplex natural ecosystems which are on the verge of unbalance. Thesolution to this key challenge in this post-genomic era can be envisionedthrough the application of systems biology approaches in order to enrich
the knowledge in the microalgal field. Bridging the gap between virtual
interactomics and structural bioinformatics with experimental findings
in microalgae can be achieved through high throughput profiling data
and in silico modeling and we can ideate their integration with observations
at the cellular scale in order to extend our understanding of
microalgal species beyond the analysis of experimental observations.
The power of utilizing bioinformatics methodology approaches in conjunction
with classical experimental procedures can expand the gained
insight into the underpinning of the microalgal molecular functions,
with an immediate effect on practical applications having socioeconomic
facets, as well as enabling the finer control of the natural
and antropogenic terrestrial and space ecosystems.
การแปล กรุณารอสักครู่..
