Phylogenetic relationships within cation transporter families of Arabidopsis

Uptake and translocation of cationic nutrients play essential roles in physiological processes including plant growth, nutrition, signal transduction, and development. Approximately 5% of the Arabidopsis genome appears to encode membrane transport proteins. These proteins are classified in 46 unique families containing approximately 880 members. In addition, several hundred putative transporters have not yet been assigned to families. In this paper, we have analyzed the phylogenetic relationships of over 150 cation transport proteins. This analysis has focused on cation transporter gene families for which initial characterizations have been achieved for individual members, including potassium transporters and channels, sodium transporters, calcium antiporters, cyclic nucleotide-gated channels, cation diffusion facilitator proteins, natural resistance-associated macrophage proteins (NRAMP), and Zn-regulated transporter Fe-regulated transporter-like proteins. Phylogenetic trees of each family define the evolutionary relationships of the members to each other. These families contain numerous members, indicating diverse functions in vivo. Closely related isoforms and separate subfamilies exist within many of these gene families, indicating possible redundancies and specialized functions. To facilitate their further study, the PlantsT database (http://plantst.sdsc.edu) has been created that includes alignments of the analyzed cation transporters and their chromosomal locations.     

Prediction of transporter family from protein sequence by support vector machine approach

Transporters play key roles in cellular transport and metabolic processes, and in facilitating drug delivery and excretion. These proteins are classified into families based on the transporter classification (TC) system. Determination of the TC family of transporters facilitates the study of their cellular and pharmacological functions. Methods for predicting TC family without sequence alignments or clustering are particularly useful for studying novel transporters whose function cannot be determined by sequence similarity. This work explores the use of a machine learning method, support vector machines (SVMs), for predicting the family of transporters from their sequence without the use of sequence similarity. A total of 10,636 transporters in 13 TC subclasses, 1914 transporters in eight TC families, and 168,341 nontransporter proteins are used to train and test the SVM prediction system. Testing results by using a separate set of 4351 transporters and 83,151 nontransporter proteins show that the overall accuracy for predicting members of these TC subclasses and families is 83.4% and 88.0%, respectively, and that of nonmembers is 99.3% and 96.6%, respectively. The accuracies for predicting members and nonmembers of individual TC subclasses are in the range of 70.7-96.1% and 97.6-99.9%, respectively, and those of individual TC families are in the range of 60.6-97.1% and 91.5-99.4%, respectively. A further test by using 26,139 transmembrane proteins outside each of the 13 TC subclasses shows that 90.4-99.6% of these are correctly predicted. Our study suggests that the SVM is potentially useful for facilitating functional study of transporters irrespective of sequence similarity.     

Microbial genome analyses: comparative transport capabilities in eighteen prokaryotes

Here, we present a comprehensive analysis of solute transport systems encoded within the completely sequenced genomes of 18 prokaryotic organisms. These organisms include four Gram-positive bacteria, seven Gram-negative bacteria, two spirochetes, one cyanobacterium and four archaea. Membrane proteins are analyzed in terms of putative membrane topology, and the recognized transport systems are classified into 76 families, including four families of channel proteins, four families of primary carriers, 54 families of secondary carriers, six families of group translocators, and eight unclassified families. These families are analyzed in terms of the paralogous and orthologous relationships of their protein members, the substrate specificities of their constituent transporters and their distributions in each of the 18 organisms studied. The families vary from large superfamilies with hundreds of represented members, to small families with only one or a few members. The mode of transport generally correlates with the primary mechanism of energy generation, and the numbers of secondary transporters relative to primary transporters are roughly proportional to the total numbers of primary H(+) and Na(+) pumps in the cell. The phosphotransferase system is less prevalent in the analyzed bacteria than previously thought (only six of 14 bacteria transport sugars via this system) and is completely lacking in archaea and eukaryotes. Escherichia coli is shown to be exceptionally broad in its transport capabilities and therefore, at a membrane transport level, does not appear representative of the bacteria thus far sequenced. Archaea and spirochetes exhibit fewer proteins with multiple transmembrane segments and fewer net transporters than most bacteria. These results provide insight into the relevance of transport to the overall physiology of prokaryotes.     

Using hydropathy features for function prediction of membrane proteins

A novel alignment-free method for computing functional similarity of membrane proteins based on features of hydropathy distribution is presented. The features of hydropathy distribution are used to represent protein families as hydropathy profiles. The profiles statistically summarize the hydropathy distribution of member proteins. The summation is made by using hydropathy features that numerically represent structurally/functionally significant portions of protein sequences. The hydropathy profiles are numerical vectors that are points in a high dimensional ‘hydropathy’ space. Their similarities are identified by projection of the space onto principal axes. Here, the approach is applied to the secondary transporters. The analysis using the presented approach is validated by the standard classification of the secondary transporters. The presented analysis allows for prediction of function attributes for proteins of uncharacterized families of secondary transporters. The results obtained using the presented analysis may help to characterize unknown function attributes of secondary transporters. They also show that analysis of hydropathy distribution can be used for function prediction of membrane proteins.     

Using hydropathy features for function prediction of membrane proteins

A novel alignment-free method for computing functional similarity of membrane proteins based on features of hydropathy distribution is presented. The features of hydropathy distribution are used to represent protein families as hydropathy profiles. The profiles statistically summarize the hydropathy distribution of member proteins. The summation is made by using hydropathy features that numerically represent structurally/functionally significant portions of protein sequences. The hydropathy profiles are numerical vectors that are points in a high dimensional 'hydropathy' space. Their similarities are identified by projection of the space onto principal axes. Here, the approach is applied to the secondary transporters. The analysis using the presented approach is validated by the standard classification of the secondary transporters. The presented analysis allows for prediction of function attributes for proteins of uncharacterized families of secondary transporters. The results obtained using the presented analysis may help to characterize unknown function attributes of secondary transporters. They also show that analysis of hydropathy distribution can be used for function prediction of membrane proteins.     

Classification of 29 families of secondary transport proteins into a single structural class using hydropathy profile analysis

A classification scheme for membrane proteins is proposed that clusters families of proteins into structural classes based on hydropathy profile analysis. The averaged hydropathy profiles of protein families are taken as fingerprints of the 3D structure of the proteins and, therefore, are able to detect more distant evolutionary relationships than amino acid sequences. A procedure was developed in which hydropathy profile analysis is used initially as a filter in a BLAST search of the NCBI protein database. The strength of the procedure is demonstrated by the classification of 29 families of secondary transporters into a single structural class, termed ST[3]. An exhaustive search of the database revealed that the 29 families contain 568 unique sequences. The proteins are predominantly from prokaryotic origin and most of the characterized transporters in ST[3] transport organic and inorganic anions and a smaller number are Na(+)/H(+) antiporters. All modes of energy coupling (symport, antiport, uniport) are found in structural class ST[3]. The relevance of the classification for structure/function prediction of uncharacterised transporters in the class is discussed.     

锌转运蛋白基因研究进展

锌作为一种重要的微量元素参与了植物体内广泛的生理和生化过程,本文详细介绍了涉及Zn^2＋吸收转运的ZIP基因家族（ZRT／IRT相关蛋白）和CDF（Cation　diffusion　facilitator）家族。ZIP家族转运蛋白主要负责将Zn^2＋等二价阳离子跨膜转运进细胞内,以完成细胞内多种生理生化反应。CDF家族转运蛋白主要负责将过量Zn^2＋运出细胞,或者将细胞内过量Zn^2＋进行区室化隔离,降低Zn^2＋对细胞的危害作用。ZIP家族转运蛋白和CDF家族转运蛋白的相互协调使得Zn^2＋在细胞和有机体水平上维持着稳态,进而为细胞内各种生理生化反应的进行供一种保障机制。     

Classification of transporters using efficient radial basis function networks with position‐specific scoring matrices and biochemical properties

Transporters are proteins that are involved in the movement of ions or molecules across biological membranes. Transporters are generally classified into channels/pores, electrochemical transporters, and active transporters. Discriminating the specific class of transporters and their subfamilies are essential tasks in computational biology for the advancement of structural and functional genomics. We have systematically analyzed the amino acid composition, residue pair preference and amino acid properties in six different families of transporters. Utilizing the information, we have developed a radial basis function (RBF) network method based on profiles obtained with position specific scoring matrices for discriminating transporters belonging to three different classes and six families. Our method showed a fivefold cross validation accuracy of 76%, 73%, and 69% for discriminating transporters and nontransporters, three different classes and six different families of transporters, respectively. Further, the method was tested with independent datasets, which showed similar level of accuracy. A web server has been developed for discriminating transporters based on three classes and six families, and it is available at http://rbf.bioinfo.tw/～sachen/tcrbf.html . We suggest that our method could be effectively used to identify transporters and discriminating them into different classes and families. Proteins 2010;. © 2010 Wiley‐Liss, Inc.     

Membrane topology prediction by hydropathy profile alignment: membrane topology of the Na(+)-glutamate transporter GltS

Structural classification of families of membrane proteins by bioinformatics techniques has become a critical aspect of membrane protein research. We have proposed hydropathy profile alignment to identify structural homology between families of membrane proteins. Here, we demonstrate experimentally that two families of secondary transporters, the ESS and 2HCT families, indeed share similar folds. Members of the two families show highly similar hydropathy profiles but cannot be shown to be homologous by sequence similarity. A structural model was predicted for the ESS family transporters based upon an existing model of the 2HCT family transporters. In the model, the transporters fold into two domains containing five transmembrane segments and a reentrant or pore-loop each. The two pore-loops enter the membrane embedded part of the proteins from opposite sides of the membrane. The model was verified by accessibility studies of cysteine residues in single-Cys mutants of the Na+-glutamate transporter GltS of Escherichia coli, a member of the ESS family. Cysteine residues positioned in predicted periplasmic loops were accessible from the periplasm by a bulky, membrane-impermeable thiol reagent, while cysteine residues in cytoplasmic loops were not. Furthermore, two cysteine residues in the predicted pore-loop entering the membrane from the cytoplasmic side were shown to be accessible for small, membrane-impermeable thiol reagents from the periplasm, as was demonstrated before for the Na+-citrate transporter CitS of Klebsiella pneumoniae, a member of the 2HCT family. The data strongly suggests that GltS of the ESS family and CitS of the 2HCT family share the same fold as was predicted by comparing the averaged hydropathy profiles of the two families.     

A functional-phylogenetic classification system for transmembrane solute transporters.

A comprehensive classification system for transmembrane molecular transporters has been developed and recently approved by the transport panel of the nomenclature committee of the International Union of Biochemistry and Molecular Biology. This system is based on (i) transporter class and subclass (mode of transport and energy coupling mechanism), (ii) protein phylogenetic family and subfamily, and (iii) substrate specificity. Almost all of the more than 250 identified families of transporters include members that function exclusively in transport. Channels (115 families), secondary active transporters (uniporters, symporters, and antiporters) (78 families), primary active transporters (23 families), group translocators (6 families), and transport proteins of ill-defined function or of unknown mechanism (51 families) constitute distinct categories. Transport mode and energy coupling prove to be relatively immutable characteristics and therefore provide primary bases for classification. Phylogenetic grouping reflects structure, function, mechanism, and often substrate specificity and therefore provides a reliable secondary basis for classification. Substrate specificity and polarity of transport prove to be more readily altered during evolutionary history and therefore provide a tertiary basis for classification. With very few exceptions, a phylogenetic family of transporters includes members that function by a single transport mode and energy coupling mechanism, although a variety of substrates may be transported, sometimes with either inwardly or outwardly directed polarity. In this review, I provide cross-referencing of well-characterized constituent transporters according to (i) transport mode, (ii) energy coupling mechanism, (iii) phylogenetic grouping, and (iv) substrates transported. The structural features and distribution of recognized family members throughout the living world are also evaluated. The tabulations should facilitate familial and functional assignments of newly sequenced transport proteins that will result from future genome sequencing projects.     

A novel class of modular transporters for vitamins in prokaryotes

The specific and tightly controlled transport of numerous nutrients and metabolites across cellular membranes is crucial to all forms of life. However, many of the transporter proteins involved have yet to be identified, including the vitamin transporters in various human pathogens, whose growth depends strictly on vitamin uptake. Comparative analysis of the ever-growing collection of microbial genomes coupled with experimental validation enables the discovery of such transporters. Here, we used this approach to discover an abundant class of vitamin transporters in prokaryotes with an unprecedented architecture. These transporters have energy-coupling modules comprised of a conserved transmembrane protein and two nucleotide binding proteins similar to those of ATP binding cassette (ABC) transporters, but unlike ABC transporters, they use small integral membrane proteins to capture specific substrates. We identified 21 families of these substrate capture proteins, each with a different specificity predicted by genome context analyses. Roughly half of the substrate capture proteins (335 cases) have a dedicated energizing module, but in 459 cases distributed among almost 100 gram-positive bacteria, including numerous human pathogens, different and unrelated substrate capture proteins share the same energy-coupling module. The shared use of energy-coupling modules was experimentally confirmed for folate, thiamine, and riboflavin transporters. We propose the name energy-coupling factor transporters for the new class of membrane transporters.     

高等植物K+吸收转运蛋白及其分子调节

K 在植物的生命活动中发挥着十分重要的作用。植物对K 的吸收,可分为高亲和吸收与低亲和吸收。在分子水平上,高亲和吸收主要由KUP/HAK/KT及HKT家族的K 转运蛋白来承担;而Shaker、KCO等家族的K 通道蛋白,则主要在植物的低亲和吸收中发挥重要作用。AKT1、HAK5及其在植物中的同源基因在高等植物K 吸收转运中占有举足轻重的地位。KUP/HAK/KT家族基因的调节,主要是转录水平的调节,而K 通道蛋白的调节则可能主要是一种翻译后调节。植物的蛋白激酶通过磷酸化K 通道蛋白来调节通道的活性,从而改变K 的吸收特性。本文综述了高等植物K 吸收运转及调节的分子机制研究方面的最新进展,并对研究的前景进行了展望。     

Identification of novel proteins and phosphorylation sites in a tonoplast enriched membrane fraction of Arabidopsis thaliana

Plant vacuoles play essential roles in many physiological processes, particularly in mineral nutrition, turgor provision and cellular signalling. The vacuolar membrane, the tonoplast, contains many membrane transporters that are critical in the execution of these processes. However, although increasing knowledge is available about the identity of proteins involved in these processes very little is known about the regulation of tonoplast transporters. By studying the phosphoproteome of tonoplast-enriched membranes, we identified 66 phosphorylation sites on 58 membrane proteins. Amongst these, 31 sites were identified in 28 membrane transporters of various families including tonoplast anion transporters of the CLC family, potassium transporters of the KUP family, tonoplast sugar transporters and ABC transporters. In a number of cases, the detected sites were well conserved across isoforms of one family pointing to common mechanisms of regulation. In other cases, isoform-unique sites were present, suggesting regulatory mechanisms tailored to the function of individual proteins. These results provide the basis for future studies to elucidate the mechanistic regulation of tonoplast membrane transporters.     

A Comparison of the Sucrose Transporter Systems of Different Plant Species

Abstract: The sucrose uptake behaviour of many different plant species is characterised by the presence of at least two components with distinct kinetic properties. These include at least one high-affinity and one low-affinity transport system. All known sucrose transporters from higher plants fall into one of three large subfamilies, according to phylogenetic analysis. Apparently, the largest subfamily, the SUT1 subfamily, exclusively consists of high-affinity sucrose transporters from dicotyledons, whereas none of the transporters from monocotyledonous plants groups within this subfamily. The other two subfamilies of sucrose transporter-like proteins are either low-affinity transporter or putative sucrose-sensing proteins. Most of the known sucrose transporters from monocotyledons are closely related to the SUT2 subfamily and include high-affinity transporters, suggesting a different evolutionary origin of dicotyledonous and monocotyledonous sucrose transporter gene families.     

The drug/metabolite transporter superfamily.

Previous work defined several families of secondary active transporters, including the prokaryotic small multidrug resistance (SMR) and rhamnose transporter (RhaT) families as well as the eukaryotic organellar triose phosphate transporter (TPT) and nucleotide-sugar transporter (NST) families. We show that these families as well as several other previously unrecognized families of established or putative secondary active transporters comprise a large ubiquitous superfamily found in bacteria, archaea and eukaryotes. We have designated it the drug/metabolite transporter (DMT) superfamily (transporter classification number 2.A.7) and have shown that it consists of 14 phylogenetic families, five of which include no functionally well-characterized members. The largest family in the DMT superfamily, the drug/metabolite exporter (DME) family, consists of over 100 sequenced members, several of which have been implicated in metabolite export. Each DMT family consists of proteins with a distinctive topology: four, five, nine or 10 putative transmembrane alpha helical spanners (TMSs) per polypeptide chain. The five TMS proteins include an N-terminal TMS lacking the four TMS proteins. The full-length proteins of 10 putative TMSs apparently arose by intragenic duplication of an element encoding a primordial five-TMS polypeptide. Sequenced members of the 14 families are tabulated and phylogenetic trees for all the families are presented. Sequence and topological analyses allow structural and functional predictions.     

Bacterial ATP-driven transporters of transition metals: physiological roles, mechanisms of action, and roles in bacterial virulence

Maintaining adequate intracellular levels of transition metals is fundamental to the survival of all organisms. While all transition metals are toxic at elevated intracellular concentrations, metals such as iron, zinc, copper, and manganese are essential to many cellular functions. In prokaryotes, the concerted action of a battery of membrane-embedded transport proteins controls a delicate balance between sufficient acquisition and overload. Representatives from all major families of transporters participate in this task, including ion-gradient driven systems and ATP-utilizing pumps. P-type ATPases and ABC transporters both utilize the free energy of ATP hydrolysis to drive transport. Each of these very different families of transport proteins has a distinct role in maintaining transition metal homeostasis: P-type ATPases prevent intracellular overloading of both essential and toxic metals through efflux while ABC transporters import solely the essential ones. In the present review we discuss how each system is adapted to perform its specific task from mechanistic and structural perspectives. Despite the mechanistic and structural differences between P-type ATPases and ABC transporters, there is one important commonality: in many clinically relevant bacterial pathogens, transporters of transition metals are essential for virulence. Here we present several such examples and discuss how these may be exploited for future antibacterial drug development.     

Put the metal to the petal: metal uptake and transport throughout plants

Compared to other organisms, plants have expanded families of transporters that are involved in the uptake and efflux of metals. Fortunately, in many cases, the examination of double mutants has been sufficient to overcome the challenge of studying functionally redundant gene families. Plants that lack two heavy-metal-transporting P-type ATPase family members (HMA2 and HMA4) reveal a function for these transporters in Zn translocation from roots to shoots. Likewise, the phenotype of plants that lack two natural resistance associated macrophage protein (NRAMP) homologs (NRAMP3 and NRAMP4) implicate these metal uptake proteins in the mobilization of vacuolar Fe stores during seed germination. Most families of metal transporters are ubiquitous but the Yellow Stripe1-Like (YSL) family is plant specific and YSL family members have been implicated in the transport of metals that are complexed with a plant specific chelator called nicotianamine (NA).     

Molecular properties of bacterial multidrug transporters.

One of the mechanisms that bacteria utilize to evade the toxic effects of antibiotics is the active extrusion of structurally unrelated drugs from the cell. Both intrinsic and acquired multidrug transporters play an important role in antibiotic resistance of several pathogens, including Neisseria gonorrhoeae, Mycobacterium tuberculosis, Staphylococcus aureus, Streptococcus pneumoniae, Pseudomonas aeruginosa, and Vibrio cholerae. Detailed knowledge of the molecular basis of drug recognition and transport by multidrug transport systems is required for the development of new antibiotics that are not extruded or of inhibitors which block the multidrug transporter and allow traditional antibiotics to be effective. This review gives an extensive overview of the currently known multidrug transporters in bacteria. Based on energetics and structural characteristics, the bacterial multidrug transporters can be classified into five distinct families. Functional reconstitution in liposomes of purified multidrug transport proteins from four families revealed that these proteins are capable of mediating the export of structurally unrelated drugs independent of accessory proteins or cytoplasmic components. On the basis of (i) mutations that affect the activity or the substrate specificity of multidrug transporters and (ii) the three-dimensional structure of the drug-binding domain of the regulatory protein BmrR, the substrate-binding site for cationic drugs is predicted to consist of a hydrophobic pocket with a buried negatively charged residue that interacts electrostatically with the positively charged substrate. The aromatic and hydrophobic amino acid residues which form the drug-binding pocket impose restrictions on the shape and size of the substrates. Kinetic analysis of drug transport by multidrug transporters provided evidence that these proteins may contain multiple substrate-binding sites.     

The Transporter Classification (TC) System, 2002

The Transporter Classification (TC) system is a functional/phylogenetic system designed for the classification of all transmembrane transport proteins found in living organisms on Earth. It parallels but differs from the strictly functional EC system developed decades ago by the Enzyme Commission of the International Union of Biochemistry and Molecular Biology (IUBMB) for the classification of enzymes. Recently, the TC system has been adopted by the IUBMB as the internationally acclaimed system for the classification of transporters. Here we present the characteristics of the nearly 400 families of transport systems included in the TC system and provide statistical analyses of these families and their constituent proteins. Specifically, we analyze the transporter types for size and topological differences and analyze the families for the numbers and organismal sources of their constituent members. We show that channels and carriers exhibit distinctive structural and topological features. Bacterial-specific families outnumber eukaryotic-specific families about 2 to 1, while ubiquitous families, found in all three domains of life, are about half as numerous as eukaryotic-specific families. The results argue against appreciable horizontal transfer of genes encoding transporters between the three domains of life over the last 2 billion years.     

The transporter classification (TC) system, 2002

The Transporter Classification (TC) system is a functional/phylogenetic system designed for the classification of all transmembrane transport proteins found in living organisms on Earth. It parallels but differs from the strictly functional EC system developed decades ago by the Enzyme Commission of the International Union of Biochemistry and Molecular Biology (IUBMB) for the classification of enzymes. Recently, the TC system has been adopted by the IUBMB as the internationally acclaimed system for the classification of transporters. Here we present the characteristics of the nearly 400 families of transport systems included in the TC system and provide statistical analyses of these families and their constituent proteins. Specifically, we analyze the transporter types for size and topological differences and analyze the families for the numbers and organismal sources of their constituent members. We show that channels and carriers exhibit distinctive structural and topological features. Bacterial-specific families outnumber eukaryotic-specific families about 2 to 1, while ubiquitous families, found in all three domains of life, are about half as numerous as eukaryotic-specific families. The results argue against appreciable horizontal transfer of genes encoding transporters between the three domains of life over the last 2 billion years.