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    Mitochondrial diversity of Bwindi Impenetrable National Park Mountain Gorillas
    (BioMed Central Ltd, 2025-12-01) Knox MA; Almeida V; Kalema-Zikusoka G; Rubanga S; Ngabirano A; Hayman DTS
    Background: Mitochondrial DNA is a key marker for assessing genetic diversity, critical for the conservation of endangered species. This study investigates the mitochondrial diversity of the Bwindi Impenetrable National Park (BINP) mountain gorilla population (Gorilla beringei beringei), one of the most endangered primate subspecies. Results: Using pooled sequencing of 200 faecal samples collected from both habituated and wild gorillas, we identify ten mtDNA variants exceeding a 20% threshold across the population mitogenome. Comparisons with previously sequenced individual BINP gorilla mitogenomes corroborates these findings and reveals additional putative haplotypes, potential heteroplasmy and nuclear mitochondrial DNA segments. Our approach overcomes challenges associated with pooled samples, distinguishing sequencing noise from biological variation. The observed diversity suggests that mitochondrial variability in mountain gorillas is comparable to the higher levels reported in the closely related Grauer’s gorilla (G. beringei graueri). Conclusions: This study demonstrates the utility of non-invasive faecal sampling and pooled sequencing for assessing genetic diversity in challenging field conditions, highlighting its potential for population-level genetic monitoring of non-human primates. Our findings provide valuable insights into the genetic makeup of this critically endangered population, contributing to future conservation efforts, and supporting the recovery of mountain gorillas.
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    Correction: Development of a non-infectious control for viral hemorrhagic fever PCR assays
    (PLOS, 2025-07-09) Knox MA; Bromhead C; Hayman DTS
    The Funding statement for this article is incorrect. The correct Funding statement is as follows: EBO-SURSY project funded by the European Union via the World Organisation for Animal Health (Grant 3000034275; OIE Laboratory (or Collaborating Centre) Twinning Project: Enhancing capacity for early detection of viral haemorrhagic fevers in Liberia through epidemiological and laboratory training).
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    Metabarcoding captures genetic diversity and links cases in outbreaks of cryptosporidiosis in New Zealand.
    (Elsevier Ltd on behalf of The British Infection Association, 2025-01-30) Ogbuigwe P; Biggs PJ; Garcia-Ramirez JC; Knox MA; Pita A; Velathanthir N; French NP; Hayman DTS
    Cryptosporidiosis is a disease caused by the parasite Cryptosporidium. Globally, it is a leading cause of diarrhoea and a notifiable disease in New Zealand. Molecular analyses of Cryptosporidium isolated from notified cases do not always provide support for epidemiological links between individuals. We hypothesised this could be due to undetected diversity and the use of consensus Sanger sequence analyses. Here, we analysed 105 Cryptosporidium samples from outbreaks and sporadic cases occurring between 2010 and 2018 in New Zealand using both Next-Generation Sequencing (NGS) and Sanger sequencing of the glycoprotein 60 (gp60) locus. NGS metabarcoding at the gp60 locus uncovered significant intra- and inter-sample genotypic diversity in outbreaks and identified subtypes shared by epidemiologically linked cases, along with rare subtypes, suggesting it may be a useful tool for epidemiological investigations.
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    Quantifying Replication Slippage Error in Cryptosporidium Metabarcoding Studies
    (Oxford University Press, 2024-07-15) Knox MA; Biggs PJ; Garcia-R JC; Hayman DTS
    Genetic variation in Cryptosporidium, a common protozoan gut parasite in humans, is often based on marker genes containing trinucleotide repeats, which differentiate subtypes and track outbreaks. However, repeat regions have high replication slippage rates, making it difficult to discern biological diversity from error. Here, we synthesized Cryptosporidium DNA in clonal plasmid vectors, amplified them in different mock community ratios, and sequenced them using next-generation sequencing to determine the rate of replication slippage with dada2. Our results indicate that slippage rates increase with the length of the repeat region and can contribute to error rates of up to 20%.
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    Diagnosis of protozoa diarrhoea in Campylobacter patients increases markedly with molecular techniques.
    (Public Library of Science (PLoS), 2023-05-30) Hayman DTS; Garcia-Ramirez JC; Pita A; Velathanthiri N; Knox MA; Ogbuigwe P; Baker MG; Rostami K; Deroles-Main J; Gilpin BJ; Standley C
    Cryptosporidium and Giardia are major causes of diarrhoea globally, and two of the most notified infectious diseases in New Zealand. Diagnosis requires laboratory confirmation carried out mostly via antigen or microscopy-based techniques. However, these methods are increasingly being superseded by molecular techniques. Here we investigate the level of protozoa detection by molecular methods in campylobacteriosis cases missed through antigen-based assays and investigate different molecular testing protocols. We report findings from two observational studies; the first among 111 people during a Campylobacter outbreak and the second during normal surveillance activities among 158 people presenting with diarrhoea and a positive Campylobacter test, but negative Cryptosporidium and Giardia antigen-based test results. The molecular methods used for comparison were in-house end-point PCR tests targeting the gp60 gene for Cryptosporidium and gdh gene for Giardia. DNA extraction was performed with and without bead-beating and comparisons with commercial real-time quantitative (qPCR) were made using clinical Cryptosporidium positive sample dilutions down to 10-5. The Cryptosporidium prevalence was 9% (95% CI: 3-15; 10/111) and Giardia prevalence 21% (95% CI: 12-29; 23/111) in the 111 Campylobacter outbreak patients. The Cryptosporidium prevalence was 40% (95% CI: 32-48; 62/158) and Giardia prevalence 1.3% (95% CI: 0.2-4.5; 2/158) in the 158 routine surveillance samples. Sequencing identified Cryptosporidium hominis, C. parvum, and Giardia intestinalis assemblages A and B. We found no statistical difference in positive test results between samples using end-point PCR with or without bead-beating prior to DNA extraction, or between the in-house end-point PCR and qPCR. The qPCR Ct value was 36 (95% CI: 35-37) for 1 oocyst, suggesting a high limit of detection. In conclusion in surveillance and outbreak situations we found diagnostic serology testing underdiagnoses Cryptosporidium and Giardia coinfections in Campylobacter patients, suggesting the impact of protozoa infections may be underestimated through underdiagnosis using antigen-based assays.
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    A novel, stain-free, natural auto-fluorescent signal, Sig M, identified from cytometric and transcriptomic analysis of infectivity of Cryptosporidium hominis and Cryptosporidium parvum.
    (Frontiers Media S.A., 2023-05-22) Ogbuigwe P; Roberts JM; Knox MA; Heiser A; Pita A; Haack NA; Garcia-Ramirez JC; Velathanthiri N; Biggs PJ; French NP; Hayman DTS; Xu R
    Cryptosporidiosis is a worldwide diarrheal disease caused by the protozoan Cryptosporidium. The primary symptom is diarrhea, but patients may exhibit different symptoms based on the species of the Cryptosporidium parasite they are infected with. Furthermore, some genotypes within species are more transmissible and apparently virulent than others. The mechanisms underpinning these differences are not understood, and an effective in vitro system for Cryptosporidium culture would help advance our understanding of these differences. Using COLO-680N cells, we employed flow cytometry and microscopy along with the C. parvum-specific antibody Sporo-Glo™ to characterize infected cells 48 h following an infection with C. parvum or C. hominis. The Cryptosporidium parvum-infected cells showed higher levels of signal using Sporo-Glo™ than C. hominis-infected cells, which was likely because Sporo-Glo™ was generated against C. parvum. We found a subset of cells from infected cultures that expressed a novel, dose-dependent auto-fluorescent signal that was detectable across a range of wavelengths. The population of cells that expressed this signal increased proportionately to the multiplicity of infection. The spectral cytometry results confirmed that the signature of this subset of host cells closely matched that of oocysts present in the infectious ecosystem, pointing to a parasitic origin. Present in both C. parvum and C. hominis cultures, we named this Sig M, and due to its distinct profile in cells from both infections, it could be a better marker for assessing Cryptosporidium infection in COLO-680N cells than Sporo-Glo™. We also noted Sig M's impact on Sporo-Glo™ detection as Sporo-Glo™ uses fluoroscein-isothiocynate, which is detected where Sig M also fluoresces. Lastly, we used NanoString nCounter® analysis to investigate the transcriptomic landscape for the two Cryptosporidium species, assessing the gene expression of 144 host and parasite genes. Despite the host gene expression being at high levels, the levels of putative intracellular Cryptosporidium gene expression were low, with no significant difference from controls, which could be, in part, explained by the abundance of uninfected cells present as determined by both Sporo-Glo™ and Sig M analyses. This study shows for the first time that a natural auto-fluorescent signal, Sig M, linked to Cryptosporidium infection can be detected in infected host cells without any fluorescent labeling strategies and that the COLO-680N cell line and spectral cytometry could be useful tools to advance the understanding of Cryptosporidium infectivity.
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    Abundant dsRNA picobirnaviruses show little geographic or host association in terrestrial systems.
    (Elsevier, 2023-08) Knox MA; Wierenga J; Biggs PJ; Gedye K; Almeida V; Hall R; Kalema-Zikusoka G; Rubanga S; Ngabirano A; Valdivia-Granda W; Hayman DTS
    Picobirnaviruses are double-stranded RNA viruses known from a wide range of host species and locations but with unknown pathogenicity and host relationships. Here, we examined the diversity of picobirnaviruses from cattle and gorillas within and around Bwindi Impenetrable Forest National Park (BIFNP), Uganda, where wild and domesticated animals and humans live in relatively close contact. We use metagenomic sequencing with bioinformatic analyses to examine genetic diversity. We compared our findings to global Picobirnavirus diversity using clustering-based analyses. Picobirnavirus diversity at Bwindi was high, with 14 near-complete RdRp and 15 capsid protein sequences, and 497 new partial viral sequences recovered from 44 gorilla samples and 664 from 16 cattle samples. Sequences were distributed throughout a phylogenetic tree of globally derived picobirnaviruses. The relationship with Picobirnavirus diversity and host taxonomy follows a similar pattern to the global dataset, generally lacking pattern with either host or geography.
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    Development of a non-infectious control for viral hemorrhagic fever PCR assays.
    (PLOS, 2024-04-22) Knox MA; Bromhead C; Hayman DTS; Viennet E
    Assay validation is an essential component of disease surveillance testing, but can be problematic in settings where access to positive control material is limited and a safety risk for handlers. Here we describe a single non-infectious synthetic control that can help develop and validate the PCR based detection of the viral causes of Crimean-Congo hemorrhagic fever, Ebola virus disease, Lassa fever, Marburg virus disease and Rift Valley fever. We designed non-infectious synthetic DNA oligonucleotide sequences incorporating primer binding sites suitable for five assays, and a T7 promotor site which was used to transcribe the sequence. Transcribed RNA was used as template in a dilution series, extracted and amplified with RT-PCR and RT-qPCR to demonstrate successful recovery and determine limits of detection in a range of laboratory settings. Our results show this approach is adaptable to any diagnostic assay requiring validation of nucleic acid extraction and/or amplification, particularly where sourcing reliable, safe material for positive controls is infeasible.
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    Quantifying replication slippage error in Cryptosporidium metabarcoding studies (accepted manuscript)
    (Oxford University Press on behalf of the Infectious Diseases Society of America, 2024-02-08) Knox MA; Biggs PJ; Garcia-R JC; Hayman DTS
    Genetic variation in Cryptosporidium, a common protozoan gut parasite in humans, is often based on marker genes containing trinucleotide repeats, which differentiate subtypes and track outbreaks. However, repeat regions have high replication slippage rates, making it difficult to discern biological diversity from error. Here, we synthesised Cryptosporidium DNA in clonal plasmid vectors, amplified them in different mock community ratios and sequenced them using next generation sequencing to determine the rate of replication slippage with dada2. Our results indicate that slippage rates increase with the length of the repeat region and can contribute to error rates of up to 20%.