Linked Life Data

19232359

Source:http://linkedlifedata.com/resource/pubmed/id/19232359

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2009-4-27
pubmed:abstractText
The pennate planktonic diatom Pseudo-nitzschia delicatissima is very common in temperate marine waters and often responsible for blooms. Due to its surrounding rigid silicate frustrule the diatom undergoes successive size reduction as its vegetative reproduction cycle proceeds. Since a long time the life cycle of diatoms has raised scientific interest and some years ago extensive samples of Pseudo-nitzschia have been taken from coastal waters. Mating and cell size reduction experiments were carried out and served us as a data basis for a probabilistic model of cell size reduction. We applied a homogenous non-stationary continuous-time Markov chain to model the development of individual diatoms from an initial size of about 80 microm until cell death which occurred when the size reached its low at about 18 microm. In contrast to conventional curve fitting models we are capable of calculating confidence intervals for estimates of the population ages as well as integrate the process of auxospore formation into the model. We thus propose a unique way to describe the stationary size distribution in a diatom population in terms of cell division and auxospore formation probabilities of its individuals.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1095-8541
pubmed:author
pubmed:issnType
Electronic
pubmed:day
21
pubmed:volume
258
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
316-22
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
A probabilistic model of cell size reduction in Pseudo-nitzschia delicatissima (Bacillariophyta).
pubmed:affiliation
Department of Bioinformatics, University of Würzburg, Am Hubland, 97074 Würzburg, Germany. roland.schwarz@biozentrum.uni-wuerzburg.de
pubmed:publicationType
Journal Article