Stable Inheritance of Bacterial Plasmids: Practical Considerations in the Release of Organisms into the Environment

1988 ◽  
pp. 97-104
Author(s):  
Stanley N. Cohen ◽  
Christine A. Miller ◽  
Serge Beaucage ◽  
Donald P. Biek
Keyword(s):  
Bacterial Plasmids

The effect of bacterial plasmids on mutagenesis

1978 ◽  
Vol 53 (2) ◽  
pp. 231-232
Author(s):  
C. Monti-Bragadin ◽  
N. Babudri ◽  
M. Tamaro ◽  
M. Cinco ◽  
A.M. Molina
Keyword(s):  
Bacterial Plasmids

Partition-mediated incompatibility of bacterial plasmids

Cell ◽  
1990 ◽  
Vol 60 (3) ◽  
pp. 351-354 ◽  
Author(s):  
Stuart Austin ◽  
Kurt Nordström
Keyword(s):  
Bacterial Plasmids

Poliovirus cDNA Cloned in Bacterial Plasmids

1985 ◽  
pp. 223-244
Author(s):  
Marc Girard ◽  
Michel Dreano ◽  
Helena Kopecka ◽  
Daniele Benichou ◽  
Sylvie Van Der Werf
Keyword(s):  
Bacterial Plasmids

scholarly journals Using Protein Clusters from Whole Proteomes to Construct and Augment a Dendrogram

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Yunyun Zhou ◽  
Douglas R. Call ◽  
Shira L. Broschat
Keyword(s):  
Open Source Software ◽  
Protein Profile ◽  
Correlation Filter ◽  
New Taxon ◽  
Optimal Alignment ◽  
Gram Negative ◽  
Protein Clusters ◽  
Bacterial Plasmids ◽  
Insertion Algorithm ◽  
Ab Initio Approach

In this paper we present a new ab initio approach for constructing an unrooted dendrogram using protein clusters, an approach that has the potential for estimating relationships among several thousands of species based on their putative proteomes. We employ an open-source software program called pClust that was developed for use in metagenomic studies. Sequence alignment is performed by pClust using the Smith-Waterman algorithm, which is known to give optimal alignment and, hence, greater accuracy than BLAST-based methods. Protein clusters generated by pClust are used to create protein profiles for each species in the dendrogram, these profiles forming a correlation filter library for use with a new taxon. To augment the dendrogram with a new taxon, a protein profile for the taxon is created using BLASTp, and this new taxon is placed into a position within the dendrogram corresponding to the highest correlation with profiles in the correlation filter library. This work was initiated because of our interest in plasmids, and each step is illustrated using proteomes from Gram-negative bacterial plasmids. Proteomes for 527 plasmids were used to generate the dendrogram, and to demonstrate the utility of the insertion algorithm twelve recently sequenced pAKD plasmids were used to augment the dendrogram.

scholarly journals The Population Biology of Bacterial Plasmids: A Hidden Markov Model Approach

Genetics ◽  
2006 ◽  
Vol 176 (2) ◽  
pp. 957-968 ◽  
Author(s):  
José M. Ponciano ◽  
Leen De Gelder ◽  
Eva M. Top ◽  
Paul Joyce
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Population Biology ◽  
Hidden Markov ◽  
Bacterial Plasmids ◽  
Model Approach
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