Sampling just a few genes can reveal not only the "lifestyle" of marine microbes but of their entire environments, new research suggests.
The finding means researchers may be able to predict the types of microbes that thrive in specific marine environments by sampling the genomes of just a few dominant species, according to research co-author Rick Cavicchioli of the University of New South Wales. As well, it may reveal new insights into the impacts of climate change on biodiversity in the world's oceans.
"It's a bit like using the DNA from a single hair at a crime scene to discover the identity of the perpetrator," says Professor Cavicchioli. "What we've learned here is that a few genes can tell us much about the nature of the environment that species come from and what influences them to evolve in a specific way."
With other UNSW and US colleagues, Professor Cavicchioli compared the genomes of two common ocean bacteria that employ different strategies for living: one lives in nutrient-rich waters and is fast to grow and replicate itself, and another lives in nutrient-poor waters, and grows more slowly. The findings are published in the Proceedings of the National Academy of Sciences.
The comparison revealed genetic differences that reflect the different lifestyles of the two species: the bacteria from the nutrient-rich waters have many selective transporter proteins to quickly absorb plentiful nutrients while those from nutrient-poor waters have a smaller number of highly efficient transporter proteins to extract what little nutrition is available.
Differences in other genes were also identified concerning nutrient and energy usage and resistance to infecting viruses, which reflect the bacteria's adaptations to their environment. Armed with such knowledge from a few key genes, it should be possible to predict what sort of environment an individual species evolved in, says Professor Cavicchioli. Better still, sampling the genomes of a small number of species should enable scientists to gain useful new insights into the dynamics of whole marine ecosystems.
This 2-D map shows clusters of organisms used in the study. The distance between colors is proportional to how different they are from each other, while the size of each black dot is proportional to the number of genomes occupying a cell in the map. Blue represents organisms that are adapted to extremely nutrient-poor environments while red represents organisms that are adapted to extremely nutrient-rich environments with a range of other colors representing intermediate strategies. Credit: Image generated by Dr. Federico Lauro and Dr. Matthew Z. DeMaere, University of New South Wales
"It's not practical to sample every species in a given area so the model we have described is useful for studying the collective genomes of whole marine microbial communities - or metagenomes - to better understand how they have evolved in specific locations," he says.
"By analysing and comparing the strategies of the dominant organisms we should have an idea of the carbon flux going through the environment which will allow us to monitor the health of the marine ecosystem, including the impact of global warming," he says. "The analysis, for example, may help us predict how marine bacteria will respond to environmental changes caused by climate change, such as oceans becoming warmer or absorbing more carbon dioxide from the atmosphere and becoming more acidic."
Using their new technique to analyse 124 ocean bacteria, the researchers found that bacteria adapted to low nutrients outnumber bacteria adapted to high nutrients in worldwide samples of ocean water. This has led to an under-reporting on what is known about the biodiversity and the physiological properties of the more abundant bacteria - and what secrets they may reveal about life on earth.
In addition to Professor Cavicchioli, other UNSW researchers co-authoring the PNAS paper were Prof. Staffan Kjelleberg and Drs. Federico M. Lauro, Diane McDougald, Torsten Thomas, Timothy J. Williams, Suhelen Egan, Scott Rice, Matthew Z. DeMaere, Lily Ting and Mark V. Brown.
UNSW Professor Rick Cavicchioli BH +612 9385 3516, AH +61 411 390 132
Dan Gaffney, UNSW media, +61 411 156 015