With the help of high throughput sequencing, DNA analysis have opened doors
to a vast diversity of fungi, but a number of aquatic fungi are still missing
from the fungal lineage, namely Cryptomycota and Chytridiomycota (the early
diverging lineages) (Rojas-Jimenez et al., 2017). Lepelletier et al (2014) mentions how only a few studies
have reported Chydrids in the marine environment and a limited number of marine
Chytrids have been properly identified. This has led to the understanding
that the diversity of fungi is relatively higher in terrestrial systems
compared to marine and freshwater systems.
Members of the basal phyla, Chytridiomycota and Cryptomycota, have
mechanisms such as their mobile, parasitize and saprophytic capabilities that
allow them to survive in aquatic environments. These fungi, along with Dikarya,
contribute to the overall functioning of the ecosystem as they take part in the
carbon and nutrient cycle (Rojas-Jimenez et al., 2017).
The sampling sites were five ice-covered lake basins in the McMurdo Dry
Valleys, Antarctica - Lake Miers, Lake Fryxell, Lake Hoare, and the West and
East lobes of Lake Bonney. Several environmental parameters were measured -
temperature and conductivity, many ions, dissolved oxygen, DOC, bacterial
production, PPP and chlorophyll concentrations. DNA and RNA extraction, and
cDNA synthesis were undertaken following protocols/kits and V7 and V8 regions
of the 18S rRNA gene were amplified using specific primers. The samples were sequenced
on an Illumina MiSeq sequencer and were deposited into the NCBI Sequence Read
Archive. The 18S rRNA gene sequences were quantified and were assigned to OTUs and
each taxa were also assigned to OTUs. Finally,
the BLAST tool was used to obtain
an accurate taxonomic assignation of the eukaryotes. Statistical analysis was
performed in R.
From 4.99 m sequences that were analysed, 787,937 were classified as
fungi and the DNA and RNA derived suggests that the fungal
communities were active. Cryptomycota and Chytridiomycota were the most
abundant fungal taxa in the sites. With reference to fungal reads and OTUs; Cryptomycota represented 72%
and 44%; and Chytridiomycota represented 26% and 40% respectively. There
were significant differences in fungal richness and community composition among
the five lakes, with Lake Miers exhibiting the highest in all the depth layers, due to the freshwater habitat, warmer temperatures, and location –
being situated in a valley with a higher altitude. The interaction between
salinity and depth is what shapes the communities and diversity in the area.
Rojas-Jimenez
et al (2017) observed that with an increase in depth there was a
significant difference between the richness of both habitats. Deep waters that
form the monimolimnia (non-mixing layer of the lake) had a higher proportion of
fungi than the mixolimnia (mixing layer of the lake).
Freshwater contained a significantly higher proportion of fungi and
higher species richness than brackish waters (but an unequal abundance
distribution) and there was a clear separation between the populations, eg:
Blastocladiomycota was only found in freshwaters. As there were differences in community
composition between lakes, depths and habitats, it is safe to say that some
fungal taxa have a preference for certain niches.
Using the network analysis technique strong positive relationships between Chytrids and Cryptophyta (the most abundant primary
producer) were visualized. Chytrids also had associations with Prasinophytae,
Basidiomycota, Rhizaria,
Zygomycota, Chloropastida, Chlorophyta and Stramenopile.
Recent findings of Chytridiomycota dominating
freshwater and marine communities led Rojas-Jimenez et al (2017) to
believe that basal fungal communities dominate undisturbed aquatic systems,
whereas higher fungal communities (Dikarya) dominate terrestrial systems as
well as aquatic systems affected by terrestrial and anthropogenic input.
This study has many potential
areas for further research such as understanding how parasitic fungi may play a
crucial role in maintaining phytoplankton biomass (considering the lack of
grazers in this habitat) and the role fungi plays in energy, nutrient and
carbon transferring by exhibiting these relationships. Also, the sample sites
used have microbes living in extreme conditions that have not had anthropogenic
influence, which makes it a good model to understand how fungi are able to cope
with lower temperatures, osmoregulation and high ion levels.
It is interesting to note that Rojas-Jimenez
et al (2017) did not observe any associations
between Chytrids and Antarctic diatoms or dinoflagellates, since Chytrids have known
to infect freshwater diatoms
Reference:
Rojas-Jimenez, K., Wurzbacher, C.,
Bourne, E., Chiuchiolo, A., Priscu, J. and Grossart, H. (2017). Early diverging
lineages within Cryptomycota and Chytridiomycota dominate the fungal
communities in ice-covered lakes of the McMurdo Dry Valleys, Antarctica. Scientific Reports, [online] 7(1). Available at:
https://www.nature.com/articles/s41598-017-15598-w#article-comments [Accessed 6
Jan. 2018].
Additional references:
Lepelletier, F., Karpov, S., Alacid, E., Le Panse, S.,
Bigeard, E., Garcés, E., Jeanthon, C. and Guillou, L. (2014). Dinomyces
arenysensis gen. et sp. nov. (Rhizophydiales, Dinomycetaceae fam. nov.), a
Chytrid Infecting Marine Dinoflagellates. Protist, [online] 165(2), pp.230-244. Available at:
http://www.sciencedirect.com/science/article/pii/S1434461014000170.
Bruning, K. (1991). Infection of the diatom Asterionella by
a chytrid. II. Effects of light on survival and epidemic development of the
parasite. Journal of
Plankton Research, 13(1), pp.119-129.
Scholz, B., Küpper, F., Vyverman, W. and Karsten, U. (2014).
Eukaryotic pathogens (Chytridiomycota and Oomycota) infecting marine microphytobenthic
diatoms - a methodological comparison. Journal of
Phycology,
[online] 50(6), pp.1009-1019. Available at:
http://onlinelibrary.wiley.com/doi/10.1111/jpy.12230/full.
Hassett, B. and Gradinger, R. (2016). Chytrids dominate
arctic marine fungal communities. Environmental
Microbiology, [online] 18(6), pp.2001-2009. Available at:
http://onlinelibrary.wiley.com/store/10.1111/1462-2920.13216/asset/emi13216.pdf?v=1&t=jc4qdznz&s=e300e3f5d2e6413a73bf78d3832aba5ff1ae33ff.
Hi Ankitha,
ReplyDeleteThank you so much for this review. The study of fungi definitely has high potential for expanding research.
Many papers I have read regarding fungi often have gaps in knowledge for the identification and isolation of fungal taxa due to the lack of previously identified species of fungi as most previous studies had focussed on bacteria - I was wondering if the authors encountered the same issues and if so how they managed to identify the fungi?
Many thanks,
Sophie
Hi Sophie,
DeleteThank you for your question.
Yes, they did encounter challenges in identifying the fungal taxa but as this is a recent paper (2017), I think they were well prepared and well equipped.
For nucleic acid extraction and sequencing, they used the V7 and V8 regions of the 18S rRNA gene and used specific primers FF390 and FR1 which they mention, have a good fungal lineage cover.
After 18S rRNA gene sequence reads were paired and filtered using Mothur 1.33.3, taxonomical identification was performed by comparing sequences to OTUs i.e. sequences were clustered at the genus level and then all sequences within each taxa were assigned to OTUs. They used different methods to do so like the split method and the Vsearch method, but I am not aware of the details.
They also performed a second round of classification (as they also wanted to taxonomically account for eukaryotes as well) where a representative sequence from each OTU compared against the SINA Alignment and Classify service.
Here, they found that OTUs previously assigned as “Porifera”, “Unclassified Opisthokonta” or “Unclassified Nucletmycea”, all belonged to the Fungal Kingdom. This just goes to show how underestimated the Fungal Kingdom really is.
This was definitely an interesting find and I think further molecular tools need to be applied to get a better and bigger picture, and I'm sure this will happen in the near future.
I hope this helped.
Thanks again,
Ankitha