With much of the enumeration work temporarily halted by a lack of filters, I have become much more involved in the molecular biology of the Lake Matoaka ecology project. If I cannot measure virus abundance (while simultaneously fulfilling the legwork of this blog’s titular project), then I can still measure diversity.

As evidenced by the schematic above, viruses are a diverse group indeed, in terms of form alone, leave alone methods of infectivity. In an ideal world, there would be a single gene common to them all, like the 16s rRNA gene in bacteria, which could be targeted for molecular work. Not so! “Virus” as a broad term is not limited by any genetic boundaries; they are as diverse as all life on earth, given that they have likely been co-evolving with cellular life for as long as cellular life has existed. There are certainly a few more prominent genes, but none that are all inclusive. For example, genes which code for specific capsid proteins may cover a broad range of bacteriophages, but even considering that gene specifically would not be inclusive enough.

For those of you not steeped in PCR, whether for class or research, allow me to clarify. A common gene can be instrumental in obtaining a quick census of what is present in a community. All bacteria have the gene necessary for making a ribosome; it is so necessary, it has been conserved in the face of all other variation. Via the polymerase chain reaction (PCR), the gene of interest can be amplified (copied) across all species present in a sample. However, the 16s rRNA gene, while highly conserved, is not exactly identical amongst all bacteria. By detecting subtle differences in the amplified genes, one can associate those differences with known bacterial species. Even if the variation is only a few nucleotides of DNA, that can be enough to determine whether an amplified 16sRNA gene fragment belongs to “Bacteria Species A” or “Bacteria Species B.” Again, since this gene is so ubiquitous, this can be extrapolated across all bacteria! Below is a highly hypnotic model of the small subunit 16s Ribosome, courtesy of wikipedia:
To avoid glossing completely: the 16s rRNA gene I have reference only codes for the small subunit of bacterial ribosomes, which acts like something of a scaffold for ribosome structure (along with the “large subunit”). This gene is common given that bacteria all possess ribosomes, which translate DNA into protein.Again, viruses have no such gene, which would allow such a complete census in a single shot. Taking a parallel but not identical approach, we have RAPD (Random Amplification of Polymorphic DNA) PCR. The only difference between RAPD PCR and ordinary PCR is that the amplification is random, rather than deliberately chosen. In PCR, one typcially selects DNA primers which induce the amplification of a specific gene, such as the 16s rRNA gene which I’ve referenced continuously. In RAPD PCR, a single primer (which can act as both forward and reverse) is mixed with the template DNA in the reaction tubes; the primer will attach and amplify, wherever possible.

This method might not reveal specific virus identity, but one can compare RAPD PCR results from samples taken in different places or times. Our lab has been sampling from various soil and water sites around Lake Mataoka for several months. We can compare PCR products amplified by the same primer between months or locations; the degree to which the bands resemble one another is a measure of how similar the viruses are between the two samples. The gels above are not ours, but from a study of enterobacteria common to humans and pigs Leal et al, 1999), but it seemed to demonstrate the point. The truth is, I have been working for a few weeks to make PCR work with soil samples at all; it seems that various factors present in soil (such as accumulated humic acids) make molecular work inherently difficult. In case you don’t believe me:

As you can imagine, all sorts of things build up in soil, making it a chemical mixture that is hellishly difficult to analyze. Even now, the chemical structure of humic acids has not been clearly defined. The structure above is such an approximation. Furthermore, all of our filtration methods do not exclude either these acids or tiny colloid particles in soil; I will report on my findings! So far, I have gotten a single successful amplification of soil samples, along with many successful amplifications of water samples.