Ghanbari et al., (2015) portray how the development of
Next Generation Sequencing (NGS) has been pivotal to our understanding of the
fish gut microbiome. The relationship between gut microbiota and physiology is
complex and influenced by lots of external factors affecting the host. Fish are
an excellent model to study the factors affecting intestinal bacterial community
due to the diversity of their physiology, ecology and natural history. It is
important to understand the dynamics of microbial communities as they are so
influential to the host’s physiology. A comprehensive
understanding of the fish gut microbiome will be beneficial for future
aquaculture developments. This review highlights the need for a shift from
taxonomic to functional profiling of microbial communities through the use of
‘meta’ data.
Recently, NGS technologies are being used for metabarcoding
studies to characterize the fish gut – microbiome. This has paved the way for
gut microbial analysis as the composition of densely populated microbial
communities can be determined rapidly and at a low cost. However, NGS
technologies are still limited; for instance, short reads can cause issues with
assembling and mapping sequences however longer reads are prone to error
readings which may overestimate richness estimates. The caveats listed in the
review highlight the complexities of interpreting NGS data.
NGS based studies have used 16S rRNA sequencing to describe
the diversity of bacterial taxa associated with the fish gut. Studies have
demonstrated that despite high bacterial density, it has an unusually low
diversity. This is due to the core gut microbiota concept; the presence of similar
fish gut bacteria from different populations that are integral to gut
functionality.
In addition to the core gut microbiota, other
environmental and host related factors influence bacterial communities. The
reviewed studies used a combination of pyrosequencing and metagenomics to
assess the origin of bacteria and found that colonization from the surrounding water
and sediment is a primary recruitment mechanism. However, other studies, again
through 16S rRNA pyrosequencing, have revealed the presence of species-specific microbiota irrespective of environment and life history.
These specialized bacteria are selected for by the host and retrieved sequences
suggest they benefit the host via vitamin production and food digestion.
In addition, the interaction of feeding habit, diet and
genetic factors can also impact bacterial composition. NGS based studies have revealed
a trend in bacterial diversity between feeding strategies, as planktivorous
fish were found to have a significantly higher diversity than that of omnivorous
and herbivorous species. As well as this, diet composition and origin of ingredients were
shown via pyrosequencing to significantly influence the abundance of specific taxa.
Furthermore, the effect of diet on the abundance of OTUs was significantly
different betwen male and female fish. Likewise, one study found an inverse and
sex dependent relationship between the allelic diversity of an immune system
related gene and bacterial diversity. Interestingly this
study suggests that contrary to expectations adaptive immunity constrains bacterial
communities.
Lastly, specific treatments
can be applied to promote beneficial bacteria, for instance, probiotic and
prebiotic supplements. One study demonstrated the use of a prebiotic carbohydrate significantly decreased bacterial diversity, but improved growth
performance and boosted immune responses. These recent NGS
tools have allowed the modification of diets and treatments to be utilised in
aquaculture.
The reviewed studies have largely used 16S rRNA pyrosequencing to assess the effect of factors on the
taxonomic profile of the microbial community and highlight the complex relationship
between the host, gut microbiome and environment. Future studies should use meta-omic approaches in a high – throughput fashion to address
issues regarding metabolic potential and functional impact. This review is
important as despite advances in technology it is essential to simultaneously reflect
on and develop the approaches being used.
Reviewed paper:
Ghanbari, M., Kneifel, W., & Domig, K.
(2015). A new view of the fish gut microbiome: Advances from next-generation
sequencing. Aquaculture, 448, 464-475.
http://dx.doi.org/10.1016/j.aquaculture.2015.06.033
Hi Amelia,
ReplyDeleteThank you for this review! Indeed, would be interesting to see the metabolic potential of the bacteria inside the gut and its effect on the host. Did authors mention any gut dominated bacteria types?
I am thinking, a transcriptomic approach might be an interesting way of testing which genes are unregulated in the bacteria and then possibly built a map of correlation between bacteria, host diet and host health.
Hi Anastasia,
ReplyDeleteYes the authors listed in detail the bacterial taxa that dominated and also the shifts in these with changes in food and environment etc. Some of the studies reviewed did assess the up-regulation of genes and their functionality for instance, Xia et al., (2014) found, through a metagenomic approach, that starvation enriched the genes related to antibiotic activity in the microbiome which in turn meant that the immune response genes in the host were up-regulated.
I agree transcriptomic analysis will enable an ecosystem level approach to studying the fish microbiome. The authors stress that future studies should integrate transcriptomic and proteomic analyses with high-throughput technology i.e. ‘metatranscriptomics’ and ‘metaproteomics’, when assessing microbial communities. The use of ‘metatranscriptomics’ will allow the active bacterial taxa to be determined and thus the expression of genes in response to environmental variables to be assessed. 'Metaproteomics' will enable the identification of translated microbial proteins, from this functions can be suggested to reflect the catalytic potential of the bacteria. As you suggest, these approaches will build a better picture of this complex ecosystem.
Amelia
Reference:
Xia, J., Lin, G., Fu, G., Wan, Z., Lee, M., & Wang, L. et al. (2014). The intestinal microbiome of fish under starvation. BMC Genomics, 15(1), 266. http://dx.doi.org/10.1186/1471-2164-15-266
Hi Amelia,
ReplyDeleteThank you for your detailed reply! I had a closer look at the review, it gives a very good overview of the subject.
Thank you for the reference as well. I liked how authors combined NGS and gene regulation analysis in two conditions. Both papers gave me a feeling that there is so much to further investigate in the field!
Anastasiia