Characterisation of Marteilia cocosarum in the Wash Estuary, UK, linked to mass mortalities of cockles (Cerastoderma edule), and its relationship to closely related species
Tidy, A. M.; Jessop, R.; Ward, G. M.; Green, M. J.; Bateman, K. S.; Bass, D.; Hunt, J. E.; Ross, S. H.; Hooper, C.
Show abstract
Globally, Marteilia parasites have been associated with significant mass mortality events in populations of commercially important bivalve molluscs, frequently resulting in large-scale fishery collapses and substantial socio-economic impacts. The Wash Estuary, UK, supports several bivalve fisheries, and among these, common cockles Cerastoderma edule have suffered unusually high mortalities since 2008. We investigate potential causes of these mortalities, and confirm infection with Marteilia cocosarum, strongly associated with cockle moribundity, also confirming its presence in archived samples collected in 2009. Molecular and light microscopy screening of samples collected during mortality events in 2021, including healthy (buried) and moribund (weak, unable to bury) cockles, indicated high prevalence of M. cocosarum in moribund cockles (PCR incidence up to 95%) in contrast to healthy cockles (up to 42%), suggesting an association between cockle moribundity and Marteilia infection. Analysis of the full ribosomal RNA array identified consistently different nucleotides between M. cocosarum infections in The Wash (denoted as genotype WE) and those in Wales (denoted genotype BI). 83% of infections in The Wash could be identified as M. cocosarum WE and 12% as M. cocosarum BI, with both genotypes recovered from 5% of infected animals. Histopathologically, M. cocosarum WE infects the gill, mantle and connective tissues, identical to observations of M. cocosarum infecting Welsh cockles. Ongoing cockle mortalities in The Wash raise concerns regarding the sustainability of this resource ecologically and economically. Additional measures may be required to reduce the spread of this pathogen, noting that its distribution beyond The Wash and Wales is currently unknown.
Matching journals
The top 12 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Blanding’s turtles (Emydoidea blandingii) as a reservoir for Leptospira spp 94%
- Haplotype-level metabarcoding of freshwater macroinvertebrate species: a prospective tool for population genetic analysis 94%
- In silico assessment of 18S rDNA metabarcoding markers for the characterization of nematode communities 93%
Similar papers in this journal
- First record of Argulus japonicus infestation onCyprinus carpio in Hungary, and the first descriptionof Argulus japonicus subsp. europaeus subsp. nov.Keve, 2025 94%
- Host gill attachment enables blood-feeding by the salmon louse (Lepeophtheirus salmonis) chalimus larvae and alters parasite development and transcriptome 93%
- Culex pipiens L. and Culex restuans egg rafts harbor diverse bacterial communities compared to their midgut tissues 93%
Similar papers in this journal
- Intraspecific diversification and mitonuclear discordance in native versus introduced areas: co-introduction of Dolicirroplectanum lacustre, a monogenean gill parasite of the invasive Nile perch Lates niloticus 96%
- Widespread occurrence of benzimidazole resistance single nucleotide polymorphisms in the canine hookworm, Ancylostoma caninum, in Australia 94%
- The development and validation of long-read ITS-1/5.8S/ITS-2 nemabiome metabarcoding using Oxford Nanopore Technologies (ONT) sequencing for ovine gastrointestinal nematodes and the design of primers suitable for its direct application to fecal DNA. 94%
Similar papers in this journal
Similar papers in this journal
- The complete mitochondrial genome sequence of Oryctes rhinoceros (Coleoptera: Scarabaeidae) based on long-read nanopore sequencing 93%
- Outwitting planarians antibacterial defence mechanisms: Rickettsiales bacterial trans-infection from Paramecium multimicronucleatum to planarians 93%
- Nuclear eDNA Metabarcoding Primers for Anthozoan Coral Biodiversity Assessment 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.