The Eastern Tropical South
Pacific Oxygen Minimum Zone (ETSP-OMZ) off the coast of northern Chile is one
of the world's permanent naturally occurring OMZs. The microbial communities
which dominate OMZs and the processes carried out by them have been studied in
great detail in recent years. This has been undertaken by assessing the
presence and abundance of functional genes, presence of taxonomic groups and
pathways to name a few. But much work remains to determine which genes relating
to specific metabolic processes from different taxa are important in the
overall context of the community. This calls for the use of
metatranscriptomics, which investigates the expression of genes by detecting
RNA rather than examining just the presence of a gene (via metagenomics), so
can tell us which genes are being most actively used.
Stewart et al. (2012), produced a
metatranscriptome and metagenome using pyrosequencing on samples from four
depth sites in the ETSP-OMZ, spanning the aerobic photic zone (50m) the
oxic-anoxic transition zone (85, 110m) and the anoxic OMZ core (200m). They
then characterised the main patterns of the metatranscriptomes for protein
coding genes using BLAST and used the metagenomics data to provide a comparison
to each transcriptome. Interestingly the authors created a phylogeny using the
transcriptome of protein coding genes. This allowed which transcripts belonged
to which taxanomic groups to be determined, so indicating how active each group
was. For example, metabolic activity along the oxic-suboxic transition was
dominated by the Crenarchaeota, with a third of all identifiable protein-coding
transcripts from upper waters being produced by them. This was much higher than
the most abundant organism at all depths in terms of DNA Pelagibacter. So
indicating that metatanscriptomics can reveal functionally important organisms
which might be thought to play only a minor role from metagenomics or be poorly
represented in 16S rRNA phylogenies.
In terms of expression of
functional genes, one of the most highly expressed genes in the upper three
samples was the ammonia oxidation gene, amo. Produced almost exclusively
by the Crenarchaeota, which dominated ammonia oxidation along the
oxycline and into the OMZ. This was in contrast to previous results and the
metagenomes which suggested the presence of nitrifying bacteria. Although at
this point it is important to point out that this emerging technology can at
times be biased, as a few highly transcribed genes can mask less transcribed
genes. Therefore the bacteria could still be active at low levels. The
transcriptomes also showed a shift to anaerobic nitrogen metabolism with depth
in the OMZ and an increase in transcripts encoding enzymes used by Planctomycetes, common and active in the OMZ core, in ANOMOX processes. In
contrast genes involved in sulphur-based energy metabolism were expressed
throughout the OMZ with an indication of the coupling of sulphur oxidation and
denitrification. Sulphur-oxidising microbes were also detected in the phylogeny
which further supports other studies suggesting an active sulphur cycle.
Overall I feel that this study shows
how powerful these methods can for determining which organisms are most active
in ocean processes, despite some problems with method. It would be particularly
interesting to extend this study by repeatedly sampling over a few days to
build a time series of gene expression at the community level to see how this varies
over time. Personally I think these studies lend us an extra level of detail in
determining how our oceans function and it would be interesting to look at
other systems where metatranscriptomics has been used.
Ref: Stewart, F.J., Ulloa, O. and
DeLong, E.F. (2012). Microbial metatranscriptomics in a permanent marine oxygen
minimum zone. Environmental Microbiology, 14(1), 23-40.
Hi Tom,
ReplyDeleteGreat Post! When I read through it I was wondering why this sounds so familiar to me and then realised that this study is closely linked to one of my blog posts I did last term (The one about Anoxic Marine Zones, Ulloa et al. ,2012). If you haven`t read it do it now as they were using the samples collected in Stewarts et al. (2012) to think more into the future. Do you think this kind of sampling would be suitable for surveys in polar regions (such as the ones I talked about in my last blog?)
Thanks :)
Hi Tabea thanks for the comment,
ReplyDeleteYes I checked your post before so that it did not overlap too much, but I will read back through your paper as it is an interesting area. With this post I really wanted to just give an example of how metatranscriptomics can be used without it becoming too wrapped up in the methods.
With regards to the sampling (I assume you mean sampling the mRNA of a community), it can be used anywhere as long as time between sampling of cells, extraction of the RNA, and freezing of the RNA at -80oC is very short as RNA degrades extremely rapidly on extraction or death of a cell. In this study they also used a protective solution called RNAlater. The actual sampling bit is no different from obtaining DNA samples i.e. they used Niskin bottles.