scholarly journals Computational analysis of the Plasmodiophora brassicae genome: mitochondrial sequence description and metabolic pathway database design

Genomics ◽  
2019 ◽  
Vol 111 (6) ◽  
pp. 1629-1640 ◽  
Author(s):  
Stéphanie Daval ◽  
Arnaud Belcour ◽  
Kévin Gazengel ◽  
Ludovic Legrand ◽  
Jérôme Gouzy ◽  
...  
2018 ◽  
Author(s):  
S. Daval ◽  
A. Belcour ◽  
K. Gazengel ◽  
L. Legrand ◽  
J. Gouzy ◽  
...  

AbstractPlasmodiophora brassicae is an obligate biotrophic pathogenic protist responsible for clubroot, a root gall disease of Brassicaceae species. In addition to the reference genome of the P. brassicae European e3 isolate and the draft genomes of Canadian or Chinese isolates, we present the genome of eH, a second European isolate. Refinement of the annotation of the eH genome led to the identification of the mitochondrial genome sequence, which was found to be bigger than that of Spongospora subterranea, another plant parasitic Plasmodiophorid phylogenetically related to P. brassicae. New pathways were also predicted, such as those for the synthesis of spermidine, a polyamine up-regulated in clubbed regions of roots. A P. brassicae pathway genome database was created to facilitate the functional study of metabolic pathways in transcriptomics approaches. These available tools can help in our understanding of the regulation of P. brassicae metabolism during infection and in response to diverse constraints.


2011 ◽  
Vol 31 (4) ◽  
pp. 882-884
Author(s):  
Li-hua YUE ◽  
Qi-zhou WANG ◽  
Rong-feng CAI

TECHNOLOGY ◽  
2016 ◽  
Vol 04 (01) ◽  
pp. 9-14
Author(s):  
Justin R. Klesmith ◽  
Timothy A. Whitehead

A central challenge in the field of metabolic engineering is the efficient identification of a metabolic pathway genotype that maximizes specific productivity over a robust range of process conditions. Here we review current methods for optimizing specific productivity of metabolic pathways in living cells. New tools for library generation, computational analysis of pathway sequence-flux space, and high-throughput screening and selection techniques are discussed.


2016 ◽  
Vol 7 ◽  
Author(s):  
Sushma Naithani ◽  
Christina M. Partipilo ◽  
Rajani Raja ◽  
Justin L. Elser ◽  
Pankaj Jaiswal

Author(s):  
Eleanor C. Saunders ◽  
James I. MacRae ◽  
Thomas Naderer ◽  
Milica Ng ◽  
Malcolm J. McConville ◽  
...  

F1000Research ◽  
2014 ◽  
Vol 3 ◽  
pp. 152
Author(s):  
Martina Kutmon ◽  
Samad Lotia ◽  
Chris T Evelo ◽  
Alexander R Pico

In this paper we present the open-source WikiPathways app for Cytoscape (http://apps.cytoscape.org/apps/wikipathways) that can be used to import biological pathways for data visualization and network analysis. WikiPathways is an open, collaborative biological pathway database that provides fully annotated pathway diagrams for manual download or through web services. The WikiPathways app allows users to load pathways in two different views: as an annotated pathway ideal for data visualization and as a simple network to perform computational analysis. An example pathway and dataset are used to demonstrate the functionality of the WikiPathways app and how they can be combined and used together with other apps. More than 2000 downloads between its first release in August 2013 and the submission of the paper in May 2014 highlight the importance and adoption of the app in the network biology field.


2008 ◽  
Vol 9 (S10) ◽  
Author(s):  
Bridget Chukualim ◽  
Nick Peters ◽  
Christiane Hertz Fowler ◽  
Matthew Berriman

2010 ◽  
Vol 153 (4) ◽  
pp. 1479-1491 ◽  
Author(s):  
Peifen Zhang ◽  
Kate Dreher ◽  
A. Karthikeyan ◽  
Anjo Chi ◽  
Anuradha Pujar ◽  
...  

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