Metaproteomics Methods To Discover Ecosystem Function In Aquatic Environment

1.0 INTRODUCTION
1.1 BACKGROUND OF THE STUDY
Microorganisms occupy virtually every habitat on our planet, and their activities largely determine the environmental conditions of today’s world. Indeed, microorganisms are heavily involved in biogeochemistry, ensuring the recycling of elements such as carbon and nitrogen (Madsen, 2011). In addition, microorganisms are extensively used to degrade anthropogenic waste prior to release into the environment (Hussain et al., 2010). In their natural habitat, microorganisms coexist in mixed communities, the complexity of which is specific to each environment, for example from six estimated individual taxa for an acid mine drainage biofilm (Ram et al., 2005), up to 106 estimated taxa per gram of soil. As most of the microorganisms present in the environment have not been cultured, their investigation requires the use of molecular techniques that bypass the traditional isolation and cultivation of individual species (Amann et al., 1995). Moreover, even when isolation is possible, a single species removed from its natural environment might not necessarily display the same characteristics under laboratory conditions as it does within its ecological niche. Therefore, the study of mixed microbial communities within their natural environment is key to the investigation of the diverse roles played by microorganisms, and to the identification of the microbial potential for biotechnological application, including but not limited to: pharmaceutical, diagnostics, waste treatment, bioremediation and renewable energy generation. An emerging field of research in microbial ecology encompasses system approaches, whereby all levels of biological information are investigated (DNA, RNA, proteins and metabolites) to capture the functional interactions occurring in a given ecosystem and identify characteristics that could not be accessed by the study of isolated components (Röling et al., 2010). Recent technological advances, including the development of high-throughput ‘omics’ methods, make such system approaches possible, where mixed microbial communities are viewed as one meta-organism. Metaproteomics are employed to determine respectively the DNA sequences of the meta-organism under study, the collectively transcribed RNA, the translated proteins and the metabolites resulting from cellular processes. All of the generated data can then be used to identify the metabolic pathways and cellular processes at work within an ecosystem.

1.2 Problem statement
Aquatic ecosystems support a substantial source of the earth’s biological diversity. They are an essential reservoir and share an enormous proportion ofearth’s biological productivity. Both aquatic resources and its biodiversity areinterrelated to each other and they perform a myriad of functions and arevaluable and essential for the sustainability of biotic communities. Aquaticbiodiversity in both freshwater and marine environments are under continuousdeclinebecauseofoverexploitationofspecies,introducedexoticplantor animal, pollution sources from cities, industries and agricultural zones,lossandchangesinecologicalniche.Theirconservationandmanagementinthe form of bio reserve points and bioregional management and worldwidemonitoringareneededfortheprotectionoftheaquaticbiodiversity.Thisstudy is presenting information on biodiversity in aquatic habitats and theirresources,inmarineandfreshwaterecosystems,theirimportanceconservationandrestorationmechanisms using metaproteomics methods.

1.3 Aim of the study
The main aim of the study is to develop and apply metaproteomic platforms to better understand environmental systems and their robustness to change.

1.4 Scope of the study
The scope of this study covers studying the quantity of the molecular cellular components (e.g. DNA, mRNA, proteins and metabolites) in environmental samples can reveal significant information on ecosystem function.

1.5 Significance of the study
This study will provide a means we can gain a much more comprehensive understanding of environmental responses to processes such as climate change or pollution etc. The field known as Environmental Omics is mostly dominated by DNA sequencing. However, proteins are the functional entities in cells and therefore identifying and quantifying proteins gives a much more accurate insight into how ecosystems respond to environmental perturbations. Gaining a snapshot of ecosystem function through measuring the proteins in an environmental sample is referred to as metaproteomics.

The project would suit ideally a biosciences/chemistry graduate with a strong interest in novel and multidisciplinary approaches to environmental engineering, analytics, or mapping ecological responses using new, cutting edge technologies.

This study will serve as a training in quantitative analytical techniques e.g. high performance liquid, mass spectrometry. This includes experimental design and analysis of large amounts of data with bioinformatics pipelines. They will become experts in handling proteins and interpreting complex data. Metaproteomics is a tool that can be transferred to many different fields so flexibility within the project is high.

Metaproteomics is just one of many omics tools which are gaining momentum in their application in the laboratory and the field. The candidate will be developing skills that can be applied for research and development in many different field including the use of cutting edge analytical equipment.