Leonardo
Decaria
a,
Ivano
Bertini
ab and
Robert J. P.
Williams
*c
aMagnetic Resonance Center (CERM), University of Florence, Via L. Sacconi 6, 50019 Sesto Fiorentino, Italy
bDepartment of Chemistry, University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino, Italy
cDepartment of Inorganic Chemistry, University of Oxford, South Parks Road, Oxford OX1 3QR, United Kingdom. E-mail: bob.williams@chem.ox.ac.uk
First published on 25th August 2010
Evolution has not been studied in detail with reference to the changing environment. This requires a study of the inorganic chemistry of organisms, especially metalloproteins. The evolution of organisms has been analysed many times previously using comparative studies, fossils, and molecular sequences of proteins, DNA and 16s rRNA (Zhang and Gladyshev, Chem. Rev., 2009, 109, 4828). These methods have led to the confirmation of Darwin's original proposal that evolution followed from natural selection in a changing environment often pictured as a tree. In all cases, the main tree in its upper later reaches has been well studied but its lower earlier parts are not so well defined. To approach this topic we have treated evolution as due to the intimate combination of the effect of chemical changes in the environment and in the organisms (Williams and da Silva, The Chemistry of Evolution, 2006, Elsevier). The best chemicals to examine are inorganic ions as they are common to both. As a more detailed example of the chemical study of organisms we report in this paper a bioinformatic approach to the characterization of the zinc proteomes. We deduce them from the 821 totally sequenced DNA of organisms available on NCBI, exploiting a published method developed by one of us (Andreini, Bertini and Rosato, Acc. Chem. Res., 2009, 42, 1471). Comparing the derived zinc-finger-containing proteins and zinc hydrolytic enzymes in organisms of different complexity there is a correlation in their changes during evolution related to environmental change.
Total proteome | %Zn-finger | %EC:3.4 | |
---|---|---|---|
a Average Value: Numbers in the first column refer to groupings of proteome sizes and the numbers in brackets refer to the numbers of proteomes examined. The average of which is given in the second column. | |||
Archea (52) | 2176a | 0.180 | 0.923 |
Bact. under 1500 (93) | 940a | 0.383 | 1.611 |
Bact. over 1500 (630) | 3671a | 0.177 | 1.227 |
P. falciparum | 6265 | 1.538 | 0.675 |
T. brucei | 9279 | 1.369 | 0.787 |
C. elegans | 22844 | 2.889 | 1.064 |
D. melanogaster | 20513 | 3.734 | 2.613 |
H. sapiens | 37742 | 4.849 | 1.200 |
A. thaliana | 32615 | 2.370 | 0.584 |
Fig. 1 The average zinc protein contents for archaea, small and large bacteria and eukarya. Archaea and large bacteria have averages near to 0.2% of Zn-finger proteins in their proteomes, while small bacteria have about 0.4%. Eukarya Zn-finger content rises up to 3%. |
Fig. 2 Zn–protein distribution in the four groups archaea, small and large bacteria and eukarya. EC:3.4 = protease/peptidase; EC:3.5 = hydrolases of C–N bonds other than in peptides; EC:3.6 = acid anhydride hydrolases. |
Fig. 3 A timescale comparison of small genomes in small and large prokaryotes, then in unicellular and finally in multicellular eukaryotes. It is notable that the percentages in Zn-finger content rise within this evolutionary series. The percentage value of EC:3.4 in small bacteria is higher than in the large bacteria. Small bacteria are usually parasites, they need a bigger pool of proteases/peptidases to break down extracellular proteins for food. |
Turning to the other enzymes and proteins we have studied there are no metallothioneins in prokaryotes (not shown), plants and yeast but small numbers in metazoans. Greatest interest centres on the large numbers of hydrolytic zinc enzymes. We noted above the greater percentage of them in small eubacteria and their low level in eukarya, Fig. 2. In particular we see in Fig. 3 that the percentage of EC:3.4 enzymes, that is the peptidases and proteases, has a very different pattern from that of zinc fingers. Except for the fly, D. melanogaster, the percentage varies little being slightly lower in all the other eukaryotes than in prokaryotes. The high value in the fly could be related to its need to metamorphose. This will be examined in a wider range of organisms. The content of the zinc hydrolytic enzymes is high in all the organisms and we consider that this is a reflection of the need to hydrolyse proteins for food in all organisms and to hydrolyse connective tissue for growth in eukaryotes. It is noticeably lower in the multicellular plant and in yeast (0.8%) than in multicellular animals.
The changes in the EC:6 enzymes are of considerable interest as they include those for the hydrolytic reactions of phosphates. In particular zinc is associated in the earliest forms of life with the activities of RNA enzymes. In Fig. 2 we observe that the average values for all eukaryotes is much lower, less than 0.5%, than for all prokaryotes, greater than 0.6%. The parasytic eubacteria have the high value of above 2.0% on average. Notice however that they have very small genomes indicative of a loss of many genes but not of EC:4 and EC:6 enzymes. Unlike most of the other zinc proteins it appears that these enzymes have not evolved greatly from their initial functions.
The conclusion of this paper is that much light is thrown on the development of complexity and probably of evolution of organisms from a comparison of the zinc in the environment with that in organisms. It will be possible to examine our conclusions more closely as we acquire more data. It is certainly necessary to repeat the analysis with data on other metal ions. We stress the great advantage of such examinations of the inorganic content of organisms with their co-existing environment particularly in the study of early evolution.2 In this paper we have not attempted to trace special recent features of the evolution of zinc use such as the loss of cobalt enzymes, using vitamin B12, and their replacement by zinc enzymes in higher plants. Again zinc is required in the synthesis of shikimic acid, an essential part of the pathway to all amino acids carrying aromatic side-chains but the zinc enzyme is absent in higher animals. When did these gains or losses of zinc genes occur? The bioinformatic approach to metallomics of one of us3 as used here should be able to provide such information.
Footnote |
† Electronic supplementary information (ESI) available: Additional data. See DOI: 10.1039/c0mt00024h |
This journal is © The Royal Society of Chemistry 2010 |