A review on bacterial redox dependent iron transporters and their evolutionary relationship
A review on bacterial redox dependent iron transporters and their evolutionary relationship
复制标题
细菌氧化还原依赖性铁转运蛋白及其进化关系的综述
DOI：
10.1016/j.jinorgbio.2022.111721
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发表时间：
2022
影响因子：
3.9
通讯作者：
Martin, Daniel W.
中科院分区：
文献类型：
--
作者：
Banerjee, Sambuddha;Chanakira, Mina N.;Hall, Jonathan;Kerkan, Alexa;Dasgupta, Saumya;Martin, Daniel W.
铁是一种必需但有毒的微量营养素，其在生物膜上的运输在所有生物体中都受到严格的调节。一种这样的铁转运蛋白，Ftr型透酶，在真核细胞和原核细胞中发现。这些Ftr型转运蛋白是铁转运所必需的，预测形成α-螺旋跨膜结构，并保留两个ArgGluxxGlu（x =任何氨基酸）基序。在酵母Ftr转运蛋白（Ftr 1 p）中，铁氧化酶（Fet 3 p）是氧化偶联转运步骤中铁转运所必需的。细菌Ftr型转运蛋白（EfeU和FetM弗罗姆均未表达。大肠杆菌;来自空肠弯曲杆菌的cFtr;来自布鲁氏菌、博德特氏菌和伯克霍尔德氏菌的FtrC）。含有铁氧化酶蛋白质。生物信息学报告预测周质EfeO和FtrB（来自EfeUOB和FtrABCD系统）为新型铜氧还蛋白。这些蛋白质的Cu 2+结合和亚铁氧化特性是未表征的，并且其他两种细菌FTR-系统在没有任何铁氧化酶/铜氧还蛋白的情况下表达，导致关于这些转运蛋白的功能模式的争议。在这里，我们回顾发表的数据FTR型转运蛋白，以了解其功能的多样性。基于原始的生物信息学数据，这里提出了这些系统之间的进化关系。
Iron is an essential yet toxic micronutrient and its transport across biological membranes is tightly regulated in all living organisms. One such iron transporter, the Ftr-type permeases, is found in both eukaryotic and prokaryotic cells. These Ftr-type transporters are required for iron transport, predicted to form α-helical transmembrane structures, and conserve two ArgGluxxGlu (x = any amino acid) motifs. In the yeast Ftr transporter (Ftr1p), a ferroxidase (Fet3p) is required for iron transport in an oxidation coupled transport step. None of the bacterial Ftr-type transporters (EfeU and FetM fromE. coli; cFtr fromCampylobacter jejuni; FtrC fromBrucella,Bordetella, andBurkholderiaspp.) contain a ferroxidase protein. Bioinformatics report predicted periplasmic EfeO and FtrB (from the EfeUOB and FtrABCD systems) as novel cupredoxins. The Cu2+binding and the ferrous oxidation properties of these proteins are uncharacterized and the other two bacterial Ftr-systems are expressed without any ferroxidase/cupredoxin, leading to controversy about the mode of function of these transporters. Here, we review published data on Ftr-type transporters to gain insight into their functional diversity. Based on original bioinformatics data presented here evolutionary relations between these systems are presented.