Marine viruses represent a major driving force in plankton
ecology and, due to perhaps false assumptions that the majority of marine
bacteriophages were DNA-containing viruses, most study in the field over the
last 20 years has been on such viruses. Steward et al set out to quantify
eukaryote infecting RNA viruses by comparing the total mass of viral RNA and
DNA from seawater samples and estimating the abundances of each virus type.
They found that RNA virus abundance was comparable to, and possibly exceeding,
that of DNA viruses. Picorna-like viruses were found to dominate the RNA viral
fraction of their samples, which was in agreement with previous metagenomic
surveys of the marine RNA viral fraction that suggested that positive-sense,
single-strand picornavirads were dominant. However, as these picornavirads
posses small genomes that are often below the detection threshold of most
fluorescence-based counting methods, the authors concluded that virus counts
may be vastly underestimating true numbers.
Direct quantification of RNA virus abundance is difficult and
unreliable due to a number of limiting factors such as stain sensitivity when
using stains to differentiate DNA and RNA viruses for counts and small genome
size preventing detection by such stains. The researchers took a novel approach
and measured the relative masses of RNA and DNA viruses from tropical seawater
samples collected from Kane’ohe Bay,
O’ahu, Hawaii, and paired their data with estimates of
the mass of nucleic acid per RNA and DNA virion to estimate marine RNA virus
abundance.
After the seawater samples were collected, they were
filtered and processed into subsamples, from which the viruses were
concentrated and purified into fractions of 0.5ml each. The RNA and DNA content
of these fractions were measured via fluorometric assays in parallel tests and
nucleic acid masses were predicted from the assay results to a ±95% confidence
interval. The RNA concentration for each sample was plotted as a function of
the given RNA and DNA concentrations and statistics including regression and a
two-tailed t-test performed to test
for differences.
The researchers created and analysed metagenomes of one
subsample of each fraction. RNA treated with DNase from these subsamples was
pooled and amplified. They used pyrosequencing to generate sequence libraries
from the amplified samples (now DNA). The community composition of each sample
was analysed and taxonomic assignments applied. Sequences were compared with
the SILVA database to rule out contamination from cellular RNA and the initial
RNA mass estimates were adjusted accordingly. Abundances of RNA viruses were
estimated by calculating the number of genomes from nucleic acid masses, done
by using the relative representation of different taxa in the metagenomic
library to calculate an average RNA mass per virion. DNA virus abundances were
calculated from the DNA content of the fractions. It should be noted that they based
their assumption of DNA content per virion on an average of data from a wide
range of environments in their calculations and admitted overestimation may
have occurred.
Their results showed that 50-57% of the RNA viral genomes
likely originated from eukaryote-infecting RNA viruses, mostly positive-sense ssRNA
viruses belonging to Picornavirales.
An implication of this is that protists, while of low abundance, possibly
contribute more to marine viral dynamics than expected via RNA virus infection.
Around 1% of the sequences matched known double-strand RNA viruses when
compared with the metagenomic library. Around 42% of the sequences had no match
in the library and remain unidentified, although they exhibited virus-like
qualities. They estimated the contribution of RNA viruses to the total number
of viruses at 38-63%, taking cellular RNA into consideration. These numbers
were minimum estimates to account for processing losses. DNA virus abundances
varied throughout the year, from 17-33% in June to 5-9% in August. This
variability suggests uncertainty which may relate to laboratory practices and
to unreliability of the counting methods. For example, some physically larger
viruses (above 0.2mm)
may have been lost during filtration when preparing the samples for analysis.
Since all larger viruses are double stranded DNA types, the results are biased against
DNA viruses. However the magnitude of this bias is unknown and may only be
slight if the contribution of larger viruses to the fraction mirrors electron
microscopy data suggesting that these virus are low in number.
In their closing paragraph, they suggest a review of RNA
virus and single-strand DNA virus count methods to improve reliability and
account for smaller and undetectable genomes that may skew data, and push for
the development of new infallible methods.
Reference
Steward, G.F., Culley, A.I., Mueller, J.A., Wood-Charlson,
E.M., Belcaid, M. and Poisson, G. (2013) Are we missing half the viruses in the
ocean? J ISME 7: 672-679.
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