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Biomedical subjects

Andrew K Lilley

Publications and source records attributed to Andrew K Lilley.

9 recordsLinked to original sources

Life in earth: the impact of GM plants on soil ecology?

The impact of changes incurred by agricultural biotechnology has led to concern regarding soil ecosystems and, rightly or wrongly, this has focused on the introduction of genetically modified (GM) crops. Soils are key resources, with essential roles in supporting ecosystems and maintaining environmental quality and productivity. The complexity of soils presents difficulties to their inclusion in the risk assessment process conducted for all GM plants. However, a combined approach, informed by both soil ecology and soil quality perspectives, that considers the impacts of GM crops in the context of conventional agricultural practices can provide a regulatory framework to ensure the protection of soils without being overly restrictive.

Biodiversity↗

The contribution of species richness and composition to bacterial services.

Bacterial communities provide important services. They break down pollutants, municipal waste and ingested food, and they are the primary means by which organic matter is recycled to plants and other autotrophs. However, the processes that determine the rate at which these services are supplied are only starting to be identified. Biodiversity influences the way in which ecosystems function, but the form of the relationship between bacterial biodiversity and functioning remains poorly understood. Here we describe a manipulative experiment that measured how biodiversity affects the functioning of communities containing up to 72 bacterial species constructed from a collection of naturally occurring culturable bacteria. The experimental design allowed us to manipulate large numbers of bacterial species selected at random from those that were culturable. We demonstrate that there is a decelerating relationship between community respiration and increasing bacterial diversity. We also show that both synergistic interactions among bacterial species and the composition of the bacterial community are important in determining the level of ecosystem functioning.

Bacteria↗

Larger islands house more bacterial taxa.

The power law that describes the relationship between species richness and area size is one of the few generalizations in ecology, but recent studies show that this relationship differs for microbes. We demonstrate that the natural bacterial communities inhabiting small aquatic islands (treeholes) do indeed follow the species-area law. The result requires a re-evaluation of the current understanding of how natural microbial communities operate and implies that analogous processes structure both microbial communities and communities of larger organisms.

Bacteria↗

Calibration and deployment of custom-designed bioreporters for protecting biological remediation consortia from toxic shock.

We have previously described the development of a panel of site-specific lux-based bioreporters from an industrial wastewater treatment system remediating coking effluents. The Pseudomonad strains carry a stable chromosomal copy of the luxCDABE operon from Photorhabdus luminescens and display proportional responses in bioluminescence decay with increasing phenol concentration up to 800 mg l-1. In this work we describe their deployment to provide a strategic sensing network for protecting bacterial communities involved in the biological breakdown of coking effluents. This evaluation demonstrated the utility of strategic placement of reporters around heavy industry treatment systems and the reliability of the reporter strains under normal operational conditions. Mono-phenol or total phenolic variation within the treatment system accounted for>65-80% of the luminescence response. The reporters exhibited stable luminescence output during normal operations with maximum standard deviations of luminescence over time of c. 5-15% depending on the treatment compartment. Furthermore, deployment of the bioreporters over a 5-month period allowed the determination of an operational range (OR) for each reporter for effluent samples from each compartment. The OR allowed a convenient measure of toxicity effects between treatment compartments and accurately reflected a specific pollution event occurring within compartments of the treatment system. This work demonstrates the utility of genetic modification to provide ecologically relevant bioreporters, extends the sensing capabilities currently obtained through marine derived biosensors and significantly enhances the potential for in situ deployment of reporting agents.

Biodegradation, Environmental↗

Island size and bacterial diversity in an archipelago of engineering machines.

There is an increasing realization that progress in bacterial ecology can be further advanced by applying theories and models developed in ecology. Consequently, there is a significant need to assess the applicability of such tools, developed specifically for macroorganisms, for investigating the underlying issues that determine bacterial diversity and community assemblage. In this study, we employed the island biogeography species-area model, originally conceived to assess colonization of islands by macroorganisms, to assess bacterial communities colonizing metal-cutting fluids from machines of increasing sump tank size, taking these to be analogous to islands of variable size. This system was selected because it is well studied and compared with other natural bacterial communities has a relatively low (manageable) diversity. Our findings show that island biogeography theory holds for the bacterial communities studied, in that smaller sump tanks contained lower and putatively less stable diversity, and larger sumps had greater diversity and were temporally stable. It was found that the calculated power law indices (i.e. z-values) were similar for all sample sets, and strikingly, typical of those observed in classical ecology. This was not expected as bacteria have significant distinguishing features such as huge population sizes, rapid asexual reproduction and small body size that facilitate dispersal, and are particularly resistant to extinction.

Bacteria↗

The indigenous Pseudomonas plasmid pQBR103 encodes plant-inducible genes, including three putative helicases.

Plasmid pQBR103 ( approximately 400 kb) is representative of many self-transmissible, mercury resistant plasmids observed in the Pseudomonas community colonising the phytosphere of sugar beet. A promoter trapping strategy (IVET) was employed to identify pQBR103 genes showing elevated levels of expression on plant surfaces. Thirty-seven different plant-inducible gene fusions were isolated that were silent in laboratory media, but active in the plant environment. Three of the fusions were to DNA sequences whose protein products show significant homology to DNA-unwinding helicases. The three helicase-like genes, designated helA, helB and helC, are restricted to a defined group of related Pseudomonas plasmids. They are induced in both the root and shoot environments of sugar beet seedlings. Sequence analysis of the three plasmid-encoded helicase-like genes shows that they are phylogenetically distinct and likely to have independent evolutionary histories. The helA gene is predicted to encode a protein of 1121 amino acids, containing conserved domains found in the ultraviolet (UV) resistance helicase, UvrD. A helA knockout mutant was constructed and no phenotypic changes were found with plasmid-conferred UV resistance or plasmid conjugation. The other 34 fusions are unique with no homologues in the public gene databases, including the Pseudomonas genomes. These data demonstrate the presence of plant responsive genes in plasmid DNA comprising a component of the genomes of plant-associated bacteria.

Adaptation, Physiological↗

Functional and phylogenetic analysis of a plant-inducible oligoribonuclease (orn) gene from an indigenous Pseudomonas plasmid.

Application of a promoter-trapping strategy to identify plant-inducible genes carried on an indigenous Pseudomonas plasmid, pQBR103, revealed the presence of a putative oligoribonuclease (orn) gene that encodes a highly conserved 3' to 5' exoribonuclease specific for small oligoribonucleotides. The deduced amino acid sequence of the plasmid-derived orn (orn(pl)) showed three conserved motifs characteristic of Orn from both prokaryotes and eukaryotes. Deletion of orn(pl) generated no observable phenotype, but inactivation of the chromosomal copy caused slow growth in Pseudomonas putida KT2440. This defect was fully restored by complementation with orn from Escherichia coli (orn(E.coli)). Plasmid-derived orn(pl) was capable of partially complementing the P. putida orn mutant, demonstrating functionality of orn(pl). Phylogenetic analysis showed that plasmid-encoded Orn was distinct from Orn encoded by the chromosome of proteobacteria. A survey of orn(pl) from related Pseudomonas plasmids showed a sporadic distribution but no sequence diversity. These data suggest that the orn(pl) was acquired by pQBR103 in a single gene-transfer event: the donor is unknown, but is unlikely to be a member of the Proteobacteria.

Amino Acid Sequence↗

Transferable antibiotic resistance elements in Haemophilus influenzae share a common evolutionary origin with a diverse family of syntenic genomic islands.

Transferable antibiotic resistance in Haemophilus influenzae was first detected in the early 1970s. After this, resistance spread rapidly worldwide and was shown to be transferred by a large 40- to 60-kb conjugative element. Bioinformatics analysis of the complete sequence of a typical H. influenzae conjugative resistance element, ICEHin1056, revealed the shared evolutionary origin of this element. ICEHin1056 has homology to 20 contiguous sequences in the National Center for Biotechnology Information database. Systematic comparison of these homologous sequences resulted in identification of a conserved syntenic genomic island consisting of up to 33 core genes in 16 beta- and gamma-Proteobacteria. These diverse genomic islands shared a common evolutionary origin, insert into tRNA genes, and have diverged widely, with G+C contents ranging from 40 to 70% and amino acid homologies as low as 20 to 25% for shared core genes. These core genes are likely to account for the conjugative transfer of the genomic islands and may even encode autonomous replication. Accessory gene clusters were nestled among the core genes and encode the following diverse major attributes: antibiotic, metal, and antiseptic resistance; degradation of chemicals; type IV secretion systems; two-component signaling systems; Vi antigen capsule synthesis; toxin production; and a wide range of metabolic functions. These related genomic islands include the following well-characterized structures: SPI-7, found in Salmonella enterica serovar Typhi; PAP1 or pKLC102, found in Pseudomonas aeruginosa; and the clc element, found in Pseudomonas sp. strain B13. This is the first report of a diverse family of related syntenic genomic islands with a deep evolutionary origin, and our findings challenge the view that genomic islands consist only of independently evolving modules.

Base Sequence↗

Bacterial community structure and function in a metal-working fluid.

The diversity of bacterial populations colonizing spatially and temporally separated samples of the same metal-working fluid (MWF) formulation was investigated. Analyses were performed with a view to improve strategies for bioaugmentation of waste MWF in bioreactor systems and prevention of in-use MWF biodeterioration in engineering workshops. Significantly, complementary phenotypic, genotypic and in situ methods revealed that the bacterial communities in operationally exhausted MWFs had low diversity and were similar in species composition from different locations and uses. Of the 179 bacterial isolates studied, only 11 genera and 15 species were identified using fatty acid methyl ester (FAME) analysis, with culture independent analyses by 16S rDNA denaturing gradient gel electrophoresis (DGGE) and fluorescent in situ hybridization being congruent with these FAME data. In order to gain some insight into functional role of detected populations, we correlated the MWF chemical composition and potential pollution load with bacterial abundance and community composition detected within samples.

Bacteria↗