Conservation of the basic pattern of cellular amino acid composition during biological evolution in plants

Importance of protein quality versus quantity in alternative host plants for a leaf-feeding insect

The nutritional value of alternative host plants for leaf-feeding insects such as caterpillars is commonly measured in terms of protein quantity. However, nutritional value might also depend on the quality of the foliar protein [i.e., the composition of essential amino acids (EAAs)]. A lack of comparative work on the EAA compositions of herbivores and their host plants has hampered the testing of this hypothesis. We tested the "protein quality hypothesis" using the tree-feeding caterpillars of Lymantria dispar (gypsy moth) and two taxonomically unrelated host plants, red oak (Quercus rubra) and sugar maple (Acer saccharum). Because L. dispar has higher fitness on oak than on maple, support for the hypothesis would be found if protein were of higher quality from oak than from maple. The whole-body EAA composition of L. dispar larvae was measured to estimate its optimum dietary protein composition, which was compared with the EAA compositions of oak and maple leaves. Contrary to the protein quality hypothesis, the EAA compositions of oak and maple were not significantly different in the spring. The growth-limiting EAAs in both tree species were histidine and methionine. Similar results were observed in the summer, with the exception that the histidine composition of oak was between 10 and 15 % greater than in maple leaves. The two main factors that affected the nutritional value of protein from the tree species were the quantities of EAAs, which were consistently higher in oak, and the efficiency of EAA utilization, which decreased from 80 % in May to <50 % in August. We conclude that the relative nutritional value of red oak and sugar maple for L. dispar is more strongly affected by protein quantity than quality. Surveys of many wild herbaceous species also suggest that leaf-feeding insects would be unlikely to specialize on plants based on protein quality.

Organisms can essentially be classified according to two codon patterns

We recently classified 23 bacteria into two types based on their complete genomes; "S-type" as represented by Staphylococcus aureus and "E-type" as represented by Escherichia coli. Classification was characterized by concentrations of Arg, Ala or Lys in the amino acid composition calculated from the complete genome. Based on these previous classifications, not only prokaryotic but also eukaryotic genome structures were investigated by amino acid compositions and nucleotide contents. Organisms consisting of 112 bacteria, 15 archaea and 18 eukaryotes were classified into two major groups by cluster analysis using GC contents at the three codon positions calculated from complete genomes. The 145 organisms were classified into "AT-type" and "GC-type" represented by high A or T (low G or C) and high G or C (low A or T) contents, respectively, at every third codon position. Reciprocal changes between G or C and A or T contents at the third codon position occurred almost synchronously in every codon among the organisms. Correlations between amino acid concentrations (Ala, Ile and Lys) and the nucleotide contents at the codon position were obtained in both "AT-type" and "GC-type" organisms, but with different regression coefficients. In certain correlations of amino acid concentrations with GC contents, eukaryotes, archaea and bacteria showed different behaviors; thus these kingdoms evolved differently. All organisms are basically classifiable into two groups having characteristic codon patterns; organisms with low GC and high AT contents at the third codon position and their derivatives, and organisms with an inverse relationship.

Codon evolution is governed by linear formulas

When nucleotide (G, C, T and A) contents were plotted against each nucleotide, their relationships were clearly expressed by a linear formula, y = alphax + beta in the coding and non-coding regions. This linear relationship was obtained from the complete single-stranded DNA. Similarly, nucleotide contents at all three codon positions were expressed by linear regression lines based on the content of each nucleotide. In addition, 64 codon usages were also expressed by linear formulas against nucleotide content. Thus, the nucleotide content not only in coding sequence but also in non-coding sequence can be expressed by a linear formula, y = alphax + beta, in 145 organisms (112 bacteria, 15 archaea and 18 eukaryotes). Based on these results, the ratio of C/T, G/T, C/A or G/A one can essentially estimate all four nucleotide contents in the complete single-stranded DNA, and the determination of any ratio of two kinds of nucleotides can essentially estimate four nucleotide contents, nucleotide contents at the three different codon positions and codon distributions at 64 codons in the coding region. The maximum and minimum values of G content were approximately 0.35 and approximately 0.15, respectively, among various organisms examined. Codon evolution occurs according to linear formulas between these two values.

Classification of eubacteria based on their complete genome: where does Mycoplasmataceae belong?

The amino acid compositions of 11 Gram-positive and 12 Gram-negative eubacteria were determined from their complete genomes. They were classified into two groups, 'S-type' represented by Staphylococcus aureus and 'E-type' represented by Escherichia coli, based on their patterns of amino acid compositions determined from the complete genome. These two groups were characterized by their concentrations of Arg, Ala and Lys. Mycoplasmas, which lack a cell wall, belonged to the 'S-type', while Gram-positive mycobacteria belonged to the 'E-type'. Rickettsia prowazekii, Borrelia burgdorferi, Campylobacter jejuni and Helicobacter pylori, which are Gram-negative, belong to the 'S-type'. The classification into two groups based on their amino acid compositions determined from the complete genome was independent of Gram staining. In addition, the amino acid composition based on the plasmid resembled that based on the parent complete genome.