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Prediction and Classification of ABC Transporters in Geobacter sulfurreducens PCA Using Computational Approaches r

机译:使用计算方法对还原性土壤杆菌PCA中的ABC转运蛋白进行预测和分类

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Geobacter sulfurreducens PCA plays an important role in electricity production and bioremediation,as it can reduce uranium to an insoluble form, and uses organic compounds as electron donors. ATP-binding cassette (ABC) transporters are important as they regulate respiration and biofilm formation, which in turn affect the rate of electricity production and bioremediation. Thus we focused on identifying ABC transporters by functional genomic re-annotation, KEGG pathway analysis,and phylogenetic analysis of hypothetical proteins of G. sulfurreducens PCA. Our prediction is based on five 1-dimensional tools including BLAST, family, domain, orthologous groups and signature recognition search. We define a prediction of gene function with high confidence, when 3 or more functional prediction tools indicated the same function for a given hypothetical gene. From our integrated re-annotation approach, we predicted eleven new ABC transporters and phylogenetically sub-classified these genes based on sequence similarity with known sub-classes of ABC transporters. These eleven new ABC transporters were also identified by KEGG pathway analysis. Overall, these 11 newly predicted ABC proteins can be sub-classified as five ABC transporter substrate binding proteins, three ABC-2 type transporters, 2 permeases, and 1 phosphate transporter.
机译:降低土壤中的硫含量的PCA在电力生产和生物修复中起着重要作用,因为它可以将铀还原成不溶形式,并使用有机化合物作为电子供体。 ATP结合盒(ABC)转运蛋白很重要,因为它们调节呼吸作用和生物膜形成,进而影响电力生产和生物修复的速度。因此,我们着重于通过功能基因组重新注释,KEGG途径分析以及假单胞菌硫还原菌PCA的假设蛋白的系统发育分析来鉴定ABC转运蛋白。我们的预测基于五个一维工具,包括BLAST,家族,域,直系同源群和签名识别搜索。当3个或更多功能预测工具针对给定的假设基因指示相同功能时,我们以高可信度定义对基因功能的预测。通过我们的综合重新注释方法,我们预测了11个新的ABC转运蛋白,并根据与已知ABC转运蛋白亚类的序列相似性在系统发育上对这些基因进行了亚分类。 KEGG途径分析还鉴定了这11种新的ABC转运蛋白。总体而言,这11种新预测的ABC蛋白可细分为5种ABC转运蛋白底物结合蛋白,3种ABC-2型转运蛋白,2种通透酶和1种磷酸盐转运蛋白。

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