Key publications
Joslin GR, Barber DG, Aston L, Liu P, Kuloyo O, Oentoro K, Liu J, Baugh AV, Fedenko JR, Melas I, et al (2023). Metagenomic analysis of ethylene glycol contamination in anaerobic digestion. Bioresource Technology, 387, 129683-129683.
Power AL, Tennant RK, Stewart AG, Gosden C, Worsley AT, Jones R, Love J (2023). The evolution of atmospheric particulate matter in an urban landscape since the Industrial Revolution.
Sci Rep,
13(1).
Abstract:
The evolution of atmospheric particulate matter in an urban landscape since the Industrial Revolution.
Atmospheric particulate matter (PM) causes 3.7 million annual deaths worldwide and potentially damages every organ in the body. The cancer-causing potential of fine particulates (PM2.5) highlights the inextricable link between air quality and human health. With over half of the world's population living in cities, PM2.5 emissions are a major concern, however, our understanding of exposure to urban PM is restricted to relatively recent (post-1990) air quality monitoring programmes. To investigate how the composition and toxicity of PM has varied within an urban region, over timescales encompassing changing patterns of industrialisation and urbanisation, we reconstructed air pollution records spanning 200 years from the sediments of urban ponds in Merseyside (NW England), a heartland of urbanisation since the Industrial Revolution. These archives of urban environmental change across the region demonstrate a key shift in PM emissions from coarse carbonaceous 'soot' that peaked during the mid-twentieth century, to finer combustion-derived PM2.5 post-1980, mirroring changes in urban infrastructure. The evolution of urban pollution to a recent enhanced PM2.5 signal has important implications for understanding lifetime pollution exposures for urban populations over generational timescales.
Abstract.
Author URL.
Tennant RK, Power AL, Burton SK, Sinclair N, Parker DA, Jones RT, Lee R, Love J (2022). In-situ sequencing reveals the effect of storage on lacustrine sediment microbiome demographics and functionality.
Environmental Microbiome,
17(1).
Abstract:
In-situ sequencing reveals the effect of storage on lacustrine sediment microbiome demographics and functionality
AbstractThe sediment microbiome is a demographically diverse and functionally active biosphere. Ensuring that data acquired from sediment is truly representative of the microbiome is critical to achieving robust analyses. Sample storage and the processing and timing of nucleic acid purification after environmental sample extraction may fundamentally affect the detectable microbial community and thereby significantly alter resultant data. Direct sequencing of environmental samples is increasingly commonplace due to the advent of the portable Oxford Nanopore MinION sequencing device. Here we demonstrate that storing sediment subsamples at − 20 °C or storing the cores at 4 °C for 10 weeks prior to analysis, has a significant effect on the sediment microbiome analysed using sedimentary DNA (sedDNA), especially for Alpha-, Beta- and Deltaproteobacteria species. Furthermore, these significant differences are observed regardless of sediment type. We show that the taxa which are predominantly affected by storage are Proteobacteria, and therefore recommend on-site purifications are performed to ensure an accurate representation of these taxa are observed in the microbiome. Comparisons of sedimentary RNA (sedRNA) analyses, revealed substantial differences between samples purified and sequenced immediately on-site, samples that were frozen before transportation, and cores that were stored at 4 °C prior to analysis. Our data therefore suggest that a more accurate representation of the sediment microbiome demography and functionality may be achieved by environmental sequencing as rapidly as possible to minimise confounding effects of storage.
Abstract.
Baugh AV, Howarth TM, West KL, Kerr LEJ, Love J, Parker DA, Fedenko JR, Tennant RK (2021). Draft Genome Sequence of Weissella paramesenteroides STCH-BD1, Isolated from Ensiled Sorghum bicolor.
Microbiology Resource Announcements,
10(7).
Abstract:
Draft Genome Sequence of Weissella paramesenteroides STCH-BD1, Isolated from Ensiled Sorghum bicolor
. Weissella paramesenteroides
. has potential as an industrial biocatalyst due to its ability to produce lactic acid. A novel strain of
. W. paramesenteroides
. was isolated from ensiled sorghum. The genome was sequenced using a hybrid assembly of Oxford Nanopore and Illumina data to produce a 2-Mbp genome and 22-kbp plasmid sequence.
.
Abstract.
Tennant RK, Lux T, Sambles C, Kuhn N, Petticrew E, Oldfield R, Parker D, Hatton J, Moore K, Lee R, et al (2019). Palaeogenomics of the Hydrocarbon Producing Microalga Botryococcus braunii. Scientific Reports, 9
Tennant RK, Sambles CM, Diffey GE, Moore KA, Love J (2017). Metagenomic Analysis of Silage. Journal of Visualized Experiments, 119, e54936-e54936.
Publications by category
Journal articles
Wagley S, Morcrette H, Kovacs-Simon A, Yang Z, Power A, Tennant R, Love J, Murray N, Titball R, Butler C, et al (In Press). Bacterial dormancy: a subpopulation of viable but non-culturable cells demonstrates better fitness for revival. PLoS Pathogens
Barnes CM, Power AL, Barber DG, Tennant RK, Jones RT, Lee GR, Hatton J, Elliott A, Zaragoza-Castells J, Haley SM, et al (2023). Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry.
New PhytolAbstract:
Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry.
Pollen and tracheophyte spores are ubiquitous environmental indicators at local and global scales. Palynology is typically performed manually by microscopic analysis; a specialised and time-consuming task limited in taxonomical precision and sampling frequency, therefore restricting data quality used to inform climate change and pollen forecasting models. We build on the growing work using AI (artificial intelligence) for automated pollen classification to design a flexible network that can deal with the uncertainty of broad-scale environmental applications. We combined imaging flow cytometry with Guided Deep Learning to identify and accurately categorise pollen in environmental samples; here, pollen grains captured within c. 5500 Cal yr BP old lake sediments. Our network discriminates not only pollen included in training libraries to the species level but, depending on the sample, can classify previously unseen pollen to the likely phylogenetic order, family and even genus. Our approach offers valuable insights into the development of a widely transferable, rapid and accurate exploratory tool for pollen classification in 'real-world' environmental samples with improved accuracy over pure deep learning techniques. This work has the potential to revolutionise many aspects of palynology, allowing a more detailed spatial and temporal understanding of pollen in the environment with improved taxonomical resolution.
Abstract.
Author URL.
Joslin GR, Barber DG, Aston L, Liu P, Kuloyo O, Oentoro K, Liu J, Baugh AV, Fedenko JR, Melas I, et al (2023). Metagenomic analysis of ethylene glycol contamination in anaerobic digestion. Bioresource Technology, 387, 129683-129683.
Power AL, Tennant RK, Stewart AG, Gosden C, Worsley AT, Jones R, Love J (2023). The evolution of atmospheric particulate matter in an urban landscape since the Industrial Revolution.
Sci Rep,
13(1).
Abstract:
The evolution of atmospheric particulate matter in an urban landscape since the Industrial Revolution.
Atmospheric particulate matter (PM) causes 3.7 million annual deaths worldwide and potentially damages every organ in the body. The cancer-causing potential of fine particulates (PM2.5) highlights the inextricable link between air quality and human health. With over half of the world's population living in cities, PM2.5 emissions are a major concern, however, our understanding of exposure to urban PM is restricted to relatively recent (post-1990) air quality monitoring programmes. To investigate how the composition and toxicity of PM has varied within an urban region, over timescales encompassing changing patterns of industrialisation and urbanisation, we reconstructed air pollution records spanning 200 years from the sediments of urban ponds in Merseyside (NW England), a heartland of urbanisation since the Industrial Revolution. These archives of urban environmental change across the region demonstrate a key shift in PM emissions from coarse carbonaceous 'soot' that peaked during the mid-twentieth century, to finer combustion-derived PM2.5 post-1980, mirroring changes in urban infrastructure. The evolution of urban pollution to a recent enhanced PM2.5 signal has important implications for understanding lifetime pollution exposures for urban populations over generational timescales.
Abstract.
Author URL.
Tennant RK, Power AL, Burton SK, Sinclair N, Parker DA, Jones RT, Lee R, Love J (2022). In-situ sequencing reveals the effect of storage on lacustrine sediment microbiome demographics and functionality.
Environmental Microbiome,
17(1).
Abstract:
In-situ sequencing reveals the effect of storage on lacustrine sediment microbiome demographics and functionality
AbstractThe sediment microbiome is a demographically diverse and functionally active biosphere. Ensuring that data acquired from sediment is truly representative of the microbiome is critical to achieving robust analyses. Sample storage and the processing and timing of nucleic acid purification after environmental sample extraction may fundamentally affect the detectable microbial community and thereby significantly alter resultant data. Direct sequencing of environmental samples is increasingly commonplace due to the advent of the portable Oxford Nanopore MinION sequencing device. Here we demonstrate that storing sediment subsamples at − 20 °C or storing the cores at 4 °C for 10 weeks prior to analysis, has a significant effect on the sediment microbiome analysed using sedimentary DNA (sedDNA), especially for Alpha-, Beta- and Deltaproteobacteria species. Furthermore, these significant differences are observed regardless of sediment type. We show that the taxa which are predominantly affected by storage are Proteobacteria, and therefore recommend on-site purifications are performed to ensure an accurate representation of these taxa are observed in the microbiome. Comparisons of sedimentary RNA (sedRNA) analyses, revealed substantial differences between samples purified and sequenced immediately on-site, samples that were frozen before transportation, and cores that were stored at 4 °C prior to analysis. Our data therefore suggest that a more accurate representation of the sediment microbiome demography and functionality may be achieved by environmental sequencing as rapidly as possible to minimise confounding effects of storage.
Abstract.
Baugh AV, Howarth TM, West KL, Kerr LEJ, Love J, Parker DA, Fedenko JR, Tennant RK (2021). Draft Genome Sequence of Weissella paramesenteroides STCH-BD1, Isolated from Ensiled Sorghum bicolor.
Microbiology Resource Announcements,
10(7).
Abstract:
Draft Genome Sequence of Weissella paramesenteroides STCH-BD1, Isolated from Ensiled Sorghum bicolor
. Weissella paramesenteroides
. has potential as an industrial biocatalyst due to its ability to produce lactic acid. A novel strain of
. W. paramesenteroides
. was isolated from ensiled sorghum. The genome was sequenced using a hybrid assembly of Oxford Nanopore and Illumina data to produce a 2-Mbp genome and 22-kbp plasmid sequence.
.
Abstract.
Morcrette H, Kovacs-Simon A, Tennant RK, Love J, Wagley S, Yang ZR, Studholme DJ, Soyer OS, Champion OL, Butler CS, et al (2020). Campylobacter jejuni 11168H Exposed to Penicillin Forms Persister Cells and Cells with Altered Redox Protein Activity.
Frontiers in Cellular and Infection Microbiology,
10Abstract:
Campylobacter jejuni 11168H Exposed to Penicillin Forms Persister Cells and Cells with Altered Redox Protein Activity
The formation of persister cells is one mechanism by which bacteria can survive exposure to environmental stresses. We show that Campylobacter jejuni 11168H forms persister cells at a frequency of 10−3 after exposure to 100 × MIC of penicillin G for 24 h. Staining the cell population with a redox sensitive fluorescent dye revealed that penicillin G treatment resulted in the appearance of a population of cells with increased fluorescence. We present evidence, to show this could be a consequence of increased redox protein activity in, or associated with, the electron transport chain. These data suggest that a population of penicillin G treated C. jejuni cells could undergo a remodeling of the electron transport chain in order to moderate membrane hyperpolarization and intracellular alkalization; thus reducing the antibiotic efficacy and potentially assisting in persister cell formation.
Abstract.
Tennant RK, Ayine M, Power A, Gilman J, Hewlett M, James P, Singleton C, Parker D, Love J (2019). A Hybrid Sequencing Approach Completes the Genome Sequence of Thermoanaerobacter ethanolicus JW 200. Microbiology Resource Announcements, 8(3).
Tennant RK, Holzer B, Love J, Tchilian E, White HN (2019). Higher levels of B-cell mutation in the early germinal centres of an inefficient secondary antibody response to a variant influenza haemagglutinin.
Immunology,
157(1), 86-91.
Abstract:
Higher levels of B-cell mutation in the early germinal centres of an inefficient secondary antibody response to a variant influenza haemagglutinin.
Designing improved vaccines against mutable viruses such as dengue and influenza would be helped by a better understanding of how the B-cell memory compartment responds to variant antigens. Towards this we have recently shown, after secondary immunization of mice with a widely variant dengue virus envelope protein with only 63% amino acid identity, that IgM+ memory B cells with few mutations supported an efficient secondary germinal centre (GC) and serum response, superior to a primary response to the same protein. Here, further investigation of memory responses to variant proteins, using more closely related influenza virus haemagglutinins (HA) that were 82% identical, produced a variant-induced boost response in the GC dominated by highly mutated B cells that failed, not efficiently improving serum avidity even in the presence of extra adjuvant, and that was worse than a primary response. This supports a hypothesis that over a certain level of antigenic differences, cross-reactive memory B-cell populations have reduced competency for affinity maturation. Combined with our previous observations, these findings also provide new parameters of success and failure in antibody memory responses.
Abstract.
Author URL.
Tennant RK, Lux T, Sambles C, Kuhn N, Petticrew E, Oldfield R, Parker D, Hatton J, Moore K, Lee R, et al (2019). Palaeogenomics of the Hydrocarbon Producing Microalga Botryococcus braunii. Scientific Reports, 9
Gilman J, Singleton C, Tennant RK, James P, Howard TP, Lux T, Parker DA, Love J (2019). Rapid, Heuristic Discovery and Design of Promoter Collections in Non-Model Microbes for Industrial Applications.
ACS Synth Biol,
8(5), 1175-1186.
Abstract:
Rapid, Heuristic Discovery and Design of Promoter Collections in Non-Model Microbes for Industrial Applications.
Well-characterized promoter collections for synthetic biology applications are not always available in industrially relevant hosts. We developed a broadly applicable method for promoter identification in atypical microbial hosts that requires no a priori understanding of cis-regulatory element structure. This novel approach combines bioinformatic filtering with rapid empirical characterization to expand the promoter toolkit and uses machine learning to improve the understanding of the relationship between DNA sequence and function. Here, we apply the method in Geobacillus thermoglucosidasius, a thermophilic organism with high potential as a synthetic biology chassis for industrial applications. Bioinformatic screening of G. kaustophilus, G. stearothermophilus, G. thermodenitrificans, and G. thermoglucosidasius resulted in the identification of 636 100 bp putative promoters, encompassing the genome-wide design space and lacking known transcription factor binding sites. Eighty of these sequences were characterized in vivo, and activities covered a 2-log range of predictable expression levels. Seven sequences were shown to function consistently regardless of the downstream coding sequence. Partition modeling identified sequence positions upstream of the canonical -35 and -10 consensus motifs that were predicted to strongly influence regulatory activity in Geobacillus, and artificial neural network and partial least squares regression models were derived to assess if there were a simple, forward, quantitative method for in silico prediction of promoter function. However, the models were insufficiently general to predict pre hoc promoter activity in vivo, most probably as a result of the relatively small size of the training data set compared to the size of the modeled design space.
Abstract.
Author URL.
Power A, Tennant RK, Jones RT, Tang Y, Du J, Worsley AT, Love J (2018). Monitoring Impacts of Urbanisation and Industrialisation on Air Quality in the Anthropocene Using Urban Pond Sediments. Frontiers in Earth Science, 6
Burton BR, Tennant RK, Love J, Titball RW, Wraith DC, White HN (2018). Variant proteins stimulate more IgM+ GC B-cells revealing a mechanism of cross-reactive recognition by antibody memory. eLife
Tennant RK, Sambles CM, Diffey GE, Moore KA, Love J (2017). Metagenomic Analysis of Silage. Journal of Visualized Experiments(119).
Tennant RK, Sambles CM, Diffey GE, Moore KA, Love J (2017). Metagenomic Analysis of Silage. Journal of Visualized Experiments, 119, e54936-e54936.
Tennant RK, Jones RT, Brock F, Cook C, Turney CSM, Love J, Lee R (2013). A new flow cytometry method enabling rapid purification of fossil pollen from terrestrial sediments for AMS radiocarbon dating.
JOURNAL OF QUATERNARY SCIENCE,
28(3), 229-236.
Author URL.
(2013). Flow sorting for fossil pollen. Nature, 497(7449), 291-291.
Tennant RK, Jones RT, Love J, Lee R (2012). A new flow cytometry method enabling rapid purification of diatoms from silica-rich lacustrine sediments. Journal of Paleolimnology, 49(2), 305-309.
Chapters
Murray AJ, Love J, Redwood MD, Orozco RL, Tennant RK, Woodhall F, Goodridge F, Macaskie LE (2018). Enhancement of Photosynthetic Productivity by Quantum Dots Application. In Stavrou VN (Ed) Nonmagnetic and Magnetic Quantum Dots, IntechOpen.
Cook C, Dayananda C, Tennant RK, Love J (2017). ThirdāGeneration Biofuels from the Microalga, Botryococcus braunii. In Love J, Bryant J (Eds.) Biofuels and Bioenergy, Wiley.
Publications by year
In Press
Wagley S, Morcrette H, Kovacs-Simon A, Yang Z, Power A, Tennant R, Love J, Murray N, Titball R, Butler C, et al (In Press). Bacterial dormancy: a subpopulation of viable but non-culturable cells demonstrates better fitness for revival. PLoS Pathogens
Tennant R, Rutten P (In Press). Calibration Protocol - Conversion of OD600 to Colony Forming Units (CFUs) v1.
Abstract:
Calibration Protocol - Conversion of OD600 to Colony Forming Units (CFUs) v1
This procedure can be used to calibrate OD600 to colony forming unit (CFU) counts, which are directly relatable to the cell concentration of the culture, i.e. viable cell counts per mL. This protocol assumes that 1 bacterial cell will give rise to 1 colony. For the CFU protocol, you will need to count colonies for your two Positive Control (BBa_I20270) cultures and your two Negative Control (BBa_R0040) cultures.
Abstract.
Tennant R, Rutten P (In Press). Calibration Protocol - Fluorescence Standard Curve with Fluorescein v1.
Abstract:
Calibration Protocol - Fluorescence Standard Curve with Fluorescein v1
Plate readers report fluorescence values in arbitrary units that vary widely from instrument to instrument. Therefore absolute fluorescence values cannot be directly compared from one instrument to another. In order to compare fluorescence output of test devices between teams, it is necessary for each team to create a standard fluorescence curve. Although distribution of a known concentration of GFP protein would be an ideal way to standardize the amount of GFP fluorescence in our E. coli cells, the stability of the protein and the high cost of its purification are problematic. We therefore use the small molecule fluorescein, which has similar excitation and emission properties to GFP, but is cost-effective and easy to prepare. (The version of GFP used in the devices, GFP mut3b, has an excitation maximum at 501 nm and an emission maximum at 511 nm; fluorescein has an excitation maximum at 494 nm and an emission maximum at 525nm). You will prepare a dilution series of fluorescein in four replicates and measure the fluorescence in a 96 well plate in your plate reader. By measuring these in your plate reader, you will generate a standard curve of fluorescence for fluorescein concentration. You will be able to use this to convert your cell based readings to an equivalent fluorescein concentration. Before beginning this protocol, ensure that you are familiar with the GFP settings and measurement modes of your instrument. You will need to know what filters your instrument has for measuring GFP, including information about the bandpass width (530 nm / 30 nm bandpass, 25-30 nm width is recommended), excitation (485 nm is recommended) and emission (520-530 nm is recommended) of this filter. Note: the iGEM Particle Standard Curve with Microspheres calibration method is a pre-requisite for carrying out this protocol. You will need data from that calibration to analyse the results of this protocol.
Abstract.
Tennant R, Rutten P (In Press). Calibration Protocol - Particle Standard Curve with Microspheres v1.
Abstract:
Calibration Protocol - Particle Standard Curve with Microspheres v1
You will prepare a dilution series of monodisperse silica microspheres and measure the Abs600 in your plate reader. The size and optical characteristics of these microspheres are similar to cells, and there is a known amount of particles per volume. This measurement will allow you to construct a standard curve of particle concentration which can be used to convert 600 nm absorbance measurements into an estimated equivalent number of cells.
Abstract.
Tennant R, Rutten P (In Press). Standard iGEM Cell Measurement Protocol v1.
Abstract:
Standard iGEM Cell Measurement Protocol v1
This is a protocol from the 2018 iGEM InterLab study which tests various 'standard' parts from the Registry.
Abstract.
Beal J, Telmer C, Tennant R, Rutten P (In Press). iGEM Calibration Protocol - Flow Cytometry Cell Size v1.
Abstract:
iGEM Calibration Protocol - Flow Cytometry Cell Size v1
Conversion from forward scatter to Eμm is not a linear function, so data cannot be converted simply by multiplying with a scaling factor. We thus recommend use of software tools for processing data with size calibration. This protocol can be combined with bead-based fluorescence calibration.
Abstract.
Beal J, Telmer C, Tennant R, Rutten P (In Press). iGEM Calibration Protocol - Flow Cytometry Fluorescence v1.
Abstract:
iGEM Calibration Protocol - Flow Cytometry Fluorescence v1
This protocol can be applied to any strain of cell that can be safely run through a flow cytometer. For clarity, we have written it assuming E. coli DH5-alpha; to apply the protocol to another cell type, substitute the other cell type for any place where the protocol says [E. coli DH5-alpha]. This protocol has been written for measurement of GFP, YFP, or other yellow/green fluorescent proteins into MEFL units. To apply it to fluorescent proteins of other colors:. Replace BBa_J364001 with a construct for strong expression of the other protein. For blue proteins (e.g. mTagBFP), measure with 405nm excitation and 450nm/50nm emission filter. Units will be MEC30. For red/orange proteins (e.g. mCherry), measure with 561nm excitation and 610nm/20nm or 620nm/15nm emission filter. Units will be MEPTR. For far-red / near-infrared proteins (e.g. IRFP), measure with 635nm excitation and 780nm/60nm or 750nm long-pass (LP) emission filter. Units will be MEAPCY7. To apply the protocol to multiple colors, add a positive process control for each color and use one of the tools on the iGEM Measurement Resources page to compensate measurements for spectral overlap. This protocol can be combined with bead-based cell size calibration.
Abstract.
2023
Barnes CM, Power AL, Barber DG, Tennant RK, Jones RT, Lee GR, Hatton J, Elliott A, Zaragoza-Castells J, Haley SM, et al (2023). Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry.
New PhytolAbstract:
Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry.
Pollen and tracheophyte spores are ubiquitous environmental indicators at local and global scales. Palynology is typically performed manually by microscopic analysis; a specialised and time-consuming task limited in taxonomical precision and sampling frequency, therefore restricting data quality used to inform climate change and pollen forecasting models. We build on the growing work using AI (artificial intelligence) for automated pollen classification to design a flexible network that can deal with the uncertainty of broad-scale environmental applications. We combined imaging flow cytometry with Guided Deep Learning to identify and accurately categorise pollen in environmental samples; here, pollen grains captured within c. 5500 Cal yr BP old lake sediments. Our network discriminates not only pollen included in training libraries to the species level but, depending on the sample, can classify previously unseen pollen to the likely phylogenetic order, family and even genus. Our approach offers valuable insights into the development of a widely transferable, rapid and accurate exploratory tool for pollen classification in 'real-world' environmental samples with improved accuracy over pure deep learning techniques. This work has the potential to revolutionise many aspects of palynology, allowing a more detailed spatial and temporal understanding of pollen in the environment with improved taxonomical resolution.
Abstract.
Author URL.
Joslin GR, Barber DG, Aston L, Liu P, Kuloyo O, Oentoro K, Liu J, Baugh AV, Fedenko JR, Melas I, et al (2023). Metagenomic analysis of ethylene glycol contamination in anaerobic digestion. Bioresource Technology, 387, 129683-129683.
Power AL, Tennant RK, Stewart AG, Gosden C, Worsley AT, Jones R, Love J (2023). The evolution of atmospheric particulate matter in an urban landscape since the Industrial Revolution.
Sci Rep,
13(1).
Abstract:
The evolution of atmospheric particulate matter in an urban landscape since the Industrial Revolution.
Atmospheric particulate matter (PM) causes 3.7 million annual deaths worldwide and potentially damages every organ in the body. The cancer-causing potential of fine particulates (PM2.5) highlights the inextricable link between air quality and human health. With over half of the world's population living in cities, PM2.5 emissions are a major concern, however, our understanding of exposure to urban PM is restricted to relatively recent (post-1990) air quality monitoring programmes. To investigate how the composition and toxicity of PM has varied within an urban region, over timescales encompassing changing patterns of industrialisation and urbanisation, we reconstructed air pollution records spanning 200 years from the sediments of urban ponds in Merseyside (NW England), a heartland of urbanisation since the Industrial Revolution. These archives of urban environmental change across the region demonstrate a key shift in PM emissions from coarse carbonaceous 'soot' that peaked during the mid-twentieth century, to finer combustion-derived PM2.5 post-1980, mirroring changes in urban infrastructure. The evolution of urban pollution to a recent enhanced PM2.5 signal has important implications for understanding lifetime pollution exposures for urban populations over generational timescales.
Abstract.
Author URL.
2022
Tennant RK, Power AL, Burton SK, Sinclair N, Parker DA, Jones RT, Lee R, Love J (2022). In-situ sequencing reveals the effect of storage on lacustrine sediment microbiome demographics and functionality.
Environmental Microbiome,
17(1).
Abstract:
In-situ sequencing reveals the effect of storage on lacustrine sediment microbiome demographics and functionality
AbstractThe sediment microbiome is a demographically diverse and functionally active biosphere. Ensuring that data acquired from sediment is truly representative of the microbiome is critical to achieving robust analyses. Sample storage and the processing and timing of nucleic acid purification after environmental sample extraction may fundamentally affect the detectable microbial community and thereby significantly alter resultant data. Direct sequencing of environmental samples is increasingly commonplace due to the advent of the portable Oxford Nanopore MinION sequencing device. Here we demonstrate that storing sediment subsamples at − 20 °C or storing the cores at 4 °C for 10 weeks prior to analysis, has a significant effect on the sediment microbiome analysed using sedimentary DNA (sedDNA), especially for Alpha-, Beta- and Deltaproteobacteria species. Furthermore, these significant differences are observed regardless of sediment type. We show that the taxa which are predominantly affected by storage are Proteobacteria, and therefore recommend on-site purifications are performed to ensure an accurate representation of these taxa are observed in the microbiome. Comparisons of sedimentary RNA (sedRNA) analyses, revealed substantial differences between samples purified and sequenced immediately on-site, samples that were frozen before transportation, and cores that were stored at 4 °C prior to analysis. Our data therefore suggest that a more accurate representation of the sediment microbiome demography and functionality may be achieved by environmental sequencing as rapidly as possible to minimise confounding effects of storage.
Abstract.
2021
Baugh AV, Howarth TM, West KL, Kerr LEJ, Love J, Parker DA, Fedenko JR, Tennant RK (2021). Draft Genome Sequence of Weissella paramesenteroides STCH-BD1, Isolated from Ensiled Sorghum bicolor.
Microbiology Resource Announcements,
10(7).
Abstract:
Draft Genome Sequence of Weissella paramesenteroides STCH-BD1, Isolated from Ensiled Sorghum bicolor
. Weissella paramesenteroides
. has potential as an industrial biocatalyst due to its ability to produce lactic acid. A novel strain of
. W. paramesenteroides
. was isolated from ensiled sorghum. The genome was sequenced using a hybrid assembly of Oxford Nanopore and Illumina data to produce a 2-Mbp genome and 22-kbp plasmid sequence.
.
Abstract.
2020
Wagley S, Morcrette H, Kovacs-Simon A, Yang ZR, Power A, Tennant RK, Love J, Murray N, Titball RW, Butler CS, et al (2020). Bacterial dormancy: a subpopulation of viable but non-culturable cells demonstrates better fitness for revival.
Morcrette H, Kovacs-Simon A, Tennant RK, Love J, Wagley S, Yang ZR, Studholme DJ, Soyer OS, Champion OL, Butler CS, et al (2020). Campylobacter jejuni 11168H Exposed to Penicillin Forms Persister Cells and Cells with Altered Redox Protein Activity.
Frontiers in Cellular and Infection Microbiology,
10Abstract:
Campylobacter jejuni 11168H Exposed to Penicillin Forms Persister Cells and Cells with Altered Redox Protein Activity
The formation of persister cells is one mechanism by which bacteria can survive exposure to environmental stresses. We show that Campylobacter jejuni 11168H forms persister cells at a frequency of 10−3 after exposure to 100 × MIC of penicillin G for 24 h. Staining the cell population with a redox sensitive fluorescent dye revealed that penicillin G treatment resulted in the appearance of a population of cells with increased fluorescence. We present evidence, to show this could be a consequence of increased redox protein activity in, or associated with, the electron transport chain. These data suggest that a population of penicillin G treated C. jejuni cells could undergo a remodeling of the electron transport chain in order to moderate membrane hyperpolarization and intracellular alkalization; thus reducing the antibiotic efficacy and potentially assisting in persister cell formation.
Abstract.
2019
Tennant RK, Ayine M, Power A, Gilman J, Hewlett M, James P, Singleton C, Parker D, Love J (2019). A Hybrid Sequencing Approach Completes the Genome Sequence of Thermoanaerobacter ethanolicus JW 200. Microbiology Resource Announcements, 8(3).
Tennant RK, Holzer B, Love J, Tchilian E, White HN (2019). Higher levels of B-cell mutation in the early germinal centres of an inefficient secondary antibody response to a variant influenza haemagglutinin.
Immunology,
157(1), 86-91.
Abstract:
Higher levels of B-cell mutation in the early germinal centres of an inefficient secondary antibody response to a variant influenza haemagglutinin.
Designing improved vaccines against mutable viruses such as dengue and influenza would be helped by a better understanding of how the B-cell memory compartment responds to variant antigens. Towards this we have recently shown, after secondary immunization of mice with a widely variant dengue virus envelope protein with only 63% amino acid identity, that IgM+ memory B cells with few mutations supported an efficient secondary germinal centre (GC) and serum response, superior to a primary response to the same protein. Here, further investigation of memory responses to variant proteins, using more closely related influenza virus haemagglutinins (HA) that were 82% identical, produced a variant-induced boost response in the GC dominated by highly mutated B cells that failed, not efficiently improving serum avidity even in the presence of extra adjuvant, and that was worse than a primary response. This supports a hypothesis that over a certain level of antigenic differences, cross-reactive memory B-cell populations have reduced competency for affinity maturation. Combined with our previous observations, these findings also provide new parameters of success and failure in antibody memory responses.
Abstract.
Author URL.
Tennant RK, Lux T, Sambles C, Kuhn N, Petticrew E, Oldfield R, Parker D, Hatton J, Moore K, Lee R, et al (2019). Palaeogenomics of the Hydrocarbon Producing Microalga Botryococcus braunii. Scientific Reports, 9
Gilman J, Singleton C, Tennant RK, James P, Howard TP, Lux T, Parker DA, Love J (2019). Rapid, Heuristic Discovery and Design of Promoter Collections in Non-Model Microbes for Industrial Applications.
ACS Synth Biol,
8(5), 1175-1186.
Abstract:
Rapid, Heuristic Discovery and Design of Promoter Collections in Non-Model Microbes for Industrial Applications.
Well-characterized promoter collections for synthetic biology applications are not always available in industrially relevant hosts. We developed a broadly applicable method for promoter identification in atypical microbial hosts that requires no a priori understanding of cis-regulatory element structure. This novel approach combines bioinformatic filtering with rapid empirical characterization to expand the promoter toolkit and uses machine learning to improve the understanding of the relationship between DNA sequence and function. Here, we apply the method in Geobacillus thermoglucosidasius, a thermophilic organism with high potential as a synthetic biology chassis for industrial applications. Bioinformatic screening of G. kaustophilus, G. stearothermophilus, G. thermodenitrificans, and G. thermoglucosidasius resulted in the identification of 636 100 bp putative promoters, encompassing the genome-wide design space and lacking known transcription factor binding sites. Eighty of these sequences were characterized in vivo, and activities covered a 2-log range of predictable expression levels. Seven sequences were shown to function consistently regardless of the downstream coding sequence. Partition modeling identified sequence positions upstream of the canonical -35 and -10 consensus motifs that were predicted to strongly influence regulatory activity in Geobacillus, and artificial neural network and partial least squares regression models were derived to assess if there were a simple, forward, quantitative method for in silico prediction of promoter function. However, the models were insufficiently general to predict pre hoc promoter activity in vivo, most probably as a result of the relatively small size of the training data set compared to the size of the modeled design space.
Abstract.
Author URL.
2018
Murray AJ, Love J, Redwood MD, Orozco RL, Tennant RK, Woodhall F, Goodridge F, Macaskie LE (2018). Enhancement of Photosynthetic Productivity by Quantum Dots Application. In Stavrou VN (Ed) Nonmagnetic and Magnetic Quantum Dots, IntechOpen.
Tennant RK, Holzer B, Love J, Tchilian E, White HN (2018). Highly mutated memory cells drive an inefficient secondary antibody response to a variant protein.
Power A, Tennant RK, Jones RT, Tang Y, Du J, Worsley AT, Love J (2018). Monitoring Impacts of Urbanisation and Industrialisation on Air Quality in the Anthropocene Using Urban Pond Sediments. Frontiers in Earth Science, 6
Burton BR, Tennant RK, Love J, Titball RW, Wraith DC, White HN (2018). Variant proteins stimulate more IgM+ GC B-cells revealing a mechanism of cross-reactive recognition by antibody memory. eLife
2017
Tennant RK, Sambles CM, Diffey GE, Moore KA, Love J (2017). Metagenomic Analysis of Silage. Journal of Visualized Experiments(119).
Tennant RK, Sambles CM, Diffey GE, Moore KA, Love J (2017). Metagenomic Analysis of Silage. Journal of Visualized Experiments, 119, e54936-e54936.
Cook C, Dayananda C, Tennant RK, Love J (2017). ThirdāGeneration Biofuels from the Microalga, Botryococcus braunii. In Love J, Bryant J (Eds.) Biofuels and Bioenergy, Wiley.
2013
Tennant RK, Jones RT, Brock F, Cook C, Turney CSM, Love J, Lee R (2013). A new flow cytometry method enabling rapid purification of fossil pollen from terrestrial sediments for AMS radiocarbon dating.
JOURNAL OF QUATERNARY SCIENCE,
28(3), 229-236.
Author URL.
(2013). Flow sorting for fossil pollen. Nature, 497(7449), 291-291.
2012
Tennant RK, Jones RT, Love J, Lee R (2012). A new flow cytometry method enabling rapid purification of diatoms from silica-rich lacustrine sediments. Journal of Paleolimnology, 49(2), 305-309.