کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4496286 1623867 2014 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A bioinformatics approach to the determination of genes involved in endophytic behavior in Burkholderia spp.
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم کشاورزی و بیولوژیک (عمومی)
پیش نمایش صفحه اول مقاله
A bioinformatics approach to the determination of genes involved in endophytic behavior in Burkholderia spp.
چکیده انگلیسی


• A bioinformatics approach was used to predict the genes responsible for endophytic behavior.
• Using this approach, we report forty individual bacterial genes with the highest possibility of being involved in endophytic behavior.
• Nearly all of the 40 above-mentioned genes have previously been suggested to have some involvement in bacterial endophytic behavior.

The vast majority of plants harbor endophytic bacteria that colonize a portion of the plant's interior tissues without harming the plant. Like plant pathogens, endophytes gain entry into their plants hosts through various mechanisms. Bacterial endophytes display a broad range of symbiotic interactions with their host plants. The molecular bases of these plant-endophyte interactions are currently not fully understood. In the present study, a set of genes possibly responsible for endophytic behavior for genus Burkholderia was predicted and then compared and contrasted with a number (nine endophytes from different genera) of endophytes by comparative genome analysis. The nine endophytes included Burkholderia phytofirmans PsJN, Burkholderia spp. strain JK006, Azospirillum lipoferum 4B, Enterobacter cloacae ENHKU01, Klebsiella pneumoniae 342, Pseudomonas putida W619, Enterobacter spp. 638, Azoarcus spp. BH72, and Serratia proteamaculans 568. From the genomes of the analyzed bacterial strains, a set of bacterial genes orthologs was identified that are predicted to be involved in determining the endophytic behavior of Burkholderia spp. The genes and their possible functions were then investigated to establish a potential connection between their presence and the role they play in bacterial endophytic behavior. Nearly all of the genes identified by this bioinformatics procedure encode function previously suggested in other studies to be involved in endophytic behavior.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Theoretical Biology - Volume 343, 21 February 2014, Pages 193–198
نویسندگان
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