Monitoring the vegetation start of season (SOS) across the island of Ireland using the MERIS global vegetation index

The aim of this study was to develop a methodology, based on satellite remote sensing, to estimate the vegetation Start of Season (SOS) across the whole island of Ireland on an annual basis. This growing body of research is known as Land Surface Phenology (LSP) monitoring. The SOS was estimated for each year from a 7-year time series of 10-day composited, 1.2 km reduced resolution MERIS Global Vegetation Index (MGVI) data from 2003 to 2009, using the time series analysis software, TIMESAT. The selection of a 10-day composite period was guided by in-situ observations of leaf unfolding and cloud cover at representative point locations on the island. The MGVI time series was smoothed and the SOS metric extracted at a point corresponding to 20% of the seasonal MGVI amplitude. The SOS metric was extracted on a per pixel basis and gridded for national scale coverage. There were consistent spatial patterns in the SOS grids which were replicated on an annual basis and were qualitatively linked to variation in landcover. Analysis revealed that three statistically separable groups of CORINE Land Cover (CLC) classes could be derived from differences in the SOS, namely agricultural and forest land cover types, peat bogs, and natural and semi-natural vegetation types. These groups demonstrated that managed vegetation, e.g. pastures has a significantly earlier SOS than in unmanaged vegetation e.g. natural grasslands. There was also interannual spatio-temporal variability in the SOS. Such variability was highlighted in a series of anomaly grids showing variation from the 7-year mean SOS. An initial climate analysis indicated that an anomalously cold winter and spring in 2005/2006, linked to a negative North Atlantic Oscillation index value, delayed the 2006 SOS countrywide, while in other years the SOS anomalies showed more complex variation. A correlation study using air temperature as a climate variable revealed the spatial complexity of the air temperature-SOS relationship across the Republic of Ireland as the timing of maximum correlation varied from November to April depending on location. The SOS was found to occur earlier due to warmer winters in the Southeast while it was later with warmer winters in the Northwest. The inverse pattern emerged in the spatial patterns of the spring correlates. This contrasting pattern would appear to be linked to vegetation management as arable cropping is typically practiced in the southeast while there is mixed agriculture and mostly pastures to the west. Therefore, land use as well as air temperature appears to be an important determinant of national scale patterns in the SOS. The TIMESAT tool formed a crucial component of the estimation of SOS across the country in all seven years as it minimised the negative impact of noise and data dropouts in the MGVI time series by applying a smoothing algorithm. The extracted SOS metric was sensitive to temporal and spatial variation in land surface vegetation seasonality while the spatial patterns in the gridded SOS estimates aligned with those in landcover type. The methodology can be extended for a longer time series of FAPAR as MERIS will be replaced by the ESA Sentinel mission in 2013, while the availability of full resolution (300m) MERIS FAPAR and equivalent sensor products holds the possibility of monitoring finer scale seasonality variation. This study has shown the utility of the SOS metric as an indicator of spatiotemporal variability in vegetation phenology, as well as a correlate of other environmental variables such as air temperature. However, the satellite-based method is not seen as a replacement of ground-based observations, but rather as a complementary approach to studying vegetation phenology at the national scale. In future, the method can be extended to extract other metrics of the seasonal cycle in order to gain a more comprehensive view of seasonal vegetation development.

The role of metabolism in the pathogenesis of adherent invasive Escherichia coli (AIEC)

Crohn’s disease (CD) is a chronic, relapsing inflammatory condition affecting the gastrointestinal tract of humans, of which there is currently no cure. The precise etiology of CD is unknown, although it has become widely accepted that it is a multifactorial disease which occurs as a result of an abnormal immune response to commensal enteric bacteria in a genetically susceptible host. Recent studies have shown that a new group of Escherichia coli, called Adherent Invasive Escherichia coli (AIEC) are present in the guts of CD patients at a higher frequency than in healthy subjects, suggesting that they may play a role in the initiation and/or maintenance of the inflammation associated with CD. Two phenotypes define an AIEC and differentiate them from other groups of E. coli. Firstly, AIEC can adhere to and invade epithelial cells; and secondly, they can replicate in macrophages. In this study, we use a strain of AIEC which has been isolated from the colonic mucosa of a CD patient, called HM605, to examine the relationship between AIEC and the macrophage. We show, using a systematic mutational approach, that while the Tricarboxylic acid (TCA) cycle, the glyoxylate pathway, the Entner-Doudoroff (ED) pathway, the Pentose Phosphate (PP) pathway and gluconeogenesis are dispensable for the intramacrophagic growth of HM605, glycolysis is an absolute requirement for the ability of this organism to replicate intracellularly. We also show that HM605 activates the inflammasome, a major driver of inflammation in mammals. Specifically, we show that macrophages infected with HM605 produce significantly higher levels of the pro-inflammatory cytokine IL-1β than macrophages infected with a non-AIEC strain, and we show by immunoblotting that this is due to cleavage of caspase-1. We also show that macrophages infected with HM605 exhibit significantly higher levels of pyroptosis, a form of inflammatory cell death, than macrophages infected with a non-AIEC strain. Therefore, AIEC strains are more pro-inflammatory than non-AIEC strains and this may have important consequences in terms of CD pathology. Moreover, we show that while inflammasome activation by HM605 is independent of intracellular bacterial replication, it is dependent on an active bacterial metabolism. Through the establishment of a genetic screen aimed at identifying mutants which activate the inflammasome to lower levels than the wild-type, we confirm our observation that bacterial metabolism is essential for successful inflammasome activation by HM605 and we also uncover new systems/structures that may be important for inflammasome activation, such as the BasS/BasR two-component system, a type VI secretion system and a K1 capsule. Finally, in this study, we also identify a putative small RNA in AIEC strain LF82, which may be involved in modulating the motility of this strain. Overall this works shows that, in the absence of specialised virulence factors, the ability of AIEC to metabolise within the host cell may be a key determinant of its pathogenesis.

Functional metagenomic analysis of the human gut microbiome to identify novel salt tolerance genes

The ability to adapt to and respond to increases in external osmolarity is an important characteristic that enables bacteria to survive and proliferate in different environmental niches. When challenged with increased osmolarity, due to sodium chloride (NaCl) for example, bacteria elicit a phased response; firstly via uptake of potassium (K+), which is known as the primary response. This primary response is followed by the secondary response which is characterised by the synthesis or uptake of compatible solutes (osmoprotectants). The overall osmotic stress response is much broader however, involving many diverse cellular systems and processes. These ancillary mechanisms are arguably more interesting and give a more complete view of the osmotic stress response. The aim of this thesis was to identify novel genetic loci from the human gut microbiota that confer increased tolerance to osmotic stress using a functional metagenomic approach. Functional metagenomics is a powerful tool that enables the identification of novel genes from as yet uncultured bacteria from diverse environments through cloning, heterologous expression and phenotypic identification of a desired trait. Functional metagenomics does not rely on any previous sequence information to known genes and can therefore enable the discovery of completely novel genes and assign functions to new or known genes. Using a functional metagenomic approach, we have assigned a novel function to previously annotated genes; murB, mazG and galE, as well as a putative brp/blh family beta-carotene 15,15’-monooxygenase. Finally, we report the identification of a completely novel salt tolerance determinant with no current known homologues in the databases. Overall the genes identified originate from diverse taxonomic and phylogenetic groups commonly found in the human gastrointestinal (GI) tract, such as Collinsella and Eggerthella, Akkermansia and Bacteroides from the phyla Actinobacteria, Verrucomicrobia and Bacteroidetes, respectively. In addition, a number of the genes appear to have been acquired via lateral gene transfer and/or encoded on a prophage. To our knowledge, this thesis represents the first investigation to identify novel genes from the human gut microbiota involved in the bacterial osmotic stress response.