Anne Vatland Krøvel
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Anne Vatland Krøvel has a total of 12 co-authors. Here are the top co-authors by number of shared publications:
Anna Steensen Bjørheim
Department of Medical Microbiology, Stavanger University Hospital, Stavanger, Norway
1 shared publication- Elin Austerheim
NORCE—Norwegian Research Centre, Environment Department, Professor Olav Hansenssvei 15, N-4021 Stavanger, Norway
1 shared publication Eva Bernhoff
Department of Medical Microbiology, Stavanger University Hospital, Stavanger, Norway
1 shared publication- Eva Bernhoff
Department of Medical Microbiology, Stavanger University Hospital, Stavanger, Norway
1 shared publication Iren H. Löhr
Department of Medical Microbiology, Stavanger University Hospital, Stavanger, Norway
1 shared publication- Iren Hoyland Lohr
Department of Medical Microbiology, Stavanger University Hospital, Stavanger, Norway
1 shared publication
Latest Publications
- Open Access
- 15 May 2023
- Published by Frontiers Media SA in Frontiers in Cellular and Infection Microbiology
- Vol. 13
Long-read sequencing for reliably calling the mompS allele in Legionella pneumophila sequence-based typing
Sequence-based typing (SBT) of Legionella pneumophila is a valuable tool in epidemiological studies and outbreak investigations of Legionnaires’ disease. In the L. pneumophila SBT scheme, mompS2 is one of seven genes that determine the sequence type (ST). The Legionella genome typically contains two copies of mompS (mompS1 and mompS2). When they are non-identical it can be challenging to determine the mompS2 allele, and subsequently the ST, from Illumina short-reads. In our collection of 233 L. pneumophila genomes, there were 62 STs, 18 of which carried non-identical mompS copies. Using short-reads, the mompS2 allele was misassembled or untypeable in several STs. Genomes belonging to ST154 and ST574, which carried mompS1 allele 7 and mompS2 allele 15, were assigned an incorrect mompS2 allele and/or mompS gene copy number when short-read assembled. For other isolates, mainly those carrying non-identical mompS copies, short-read assemblers occasionally failed to resolve the structure of the mompS-region, also resulting in untypeability from the short-read data. In this study, we wanted to understand the challenges we observed with calling the mompS2 allele from short-reads, assess if other short-read methods were able to resolve the mompS-region, and investigate the possibility of using long-reads to obtain the mompS alleles, and thereby perform L. pneumophila SBT from long-reads only. We found that the choice of short-read assembler had a major impact on resolving the mompS-region and thus SBT from short-reads, but no method consistently solved the mompS2 allele. By using Oxford Nanopore Technology (ONT) sequencing together with Trycycler and Medaka for long-read assembly and polishing we were able to resolve the mompS copies and correctly identify the mompS2 allele, in accordance with Sanger sequencing/EQA results for all tested isolates (n=35). The remaining six genes of the SBT profile could also be determined from the ONT-only reads. The STs called from ONT-only assemblies were also consistent with hybrid-assemblies of Illumina and ONT reads. We therefore propose ONT sequencing as an alternative method to perform L. pneumophila SBT to overcome the mompS challenge observed with short-reads. To facilitate this, we have developed ONTmompS (https://github.com/marithetland/ONTmompS), an in silico approach to determine L. pneumophila ST from long-read or hybrid assemblies.
- 15 May 2023
- Published by Frontiers Media SA in Frontiers in Cellular and Infection Microbiology
- Vol. 13
Open AccessLong-read sequencing for reliably calling the mompS allele in Legionella pneumophila sequence-based typing
Sequence-based typing (SBT) of Legionella pneumophila is a valuable tool in epidemiological studies and outbreak investigations of Legionnaires’ disease. In the L. pneumophila SBT scheme, mompS2 is one of seven genes that determine the sequence type (ST). The Legionella genome typically contains two copies of mompS (mompS1 and mompS2). When they are non-identical it can be challenging to determine the mompS2 allele, and subsequently the ST, from Illumina short-reads. In our collection of 233 L. pneumophila genomes, there were 62 STs, 18 of which carried non-identical mompS copies. Using short-reads, the mompS2 allele was misassembled or untypeable in several STs. Genomes belonging to ST154 and ST574, which carried mompS1 allele 7 and mompS2 allele 15, were assigned an incorrect mompS2 allele and/or mompS gene copy number when short-read assembled. For other isolates, mainly those carrying non-identical mompS copies, short-read assemblers occasionally failed to resolve the structure of the mompS-region, also resulting in untypeability from the short-read data. In this study, we wanted to understand the challenges we observed with calling the mompS2 allele from short-reads, assess if other short-read methods were able to resolve the mompS-region, and investigate the possibility of using long-reads to obtain the mompS alleles, and thereby perform L. pneumophila SBT from long-reads only. We found that the choice of short-read assembler had a major impact on resolving the mompS-region and thus SBT from short-reads, but no method consistently solved the mompS2 allele. By using Oxford Nanopore Technology (ONT) sequencing together with Trycycler and Medaka for long-read assembly and polishing we were able to resolve the mompS copies and correctly identify the mompS2 allele, in accordance with Sanger sequencing/EQA results for all tested isolates (n=35). The remaining six genes of the SBT profile could also be determined from the ONT-only reads. The STs called from ONT-only assemblies were also consistent with hybrid-assemblies of Illumina and ONT reads. We therefore propose ONT sequencing as an alternative method to perform L. pneumophila SBT to overcome the mompS challenge observed with short-reads. To facilitate this, we have developed ONTmompS (https://github.com/marithetland/ONTmompS), an in silico approach to determine L. pneumophila ST from long-read or hybrid assemblies.
- Open Access
- 28 February 2022
- Published by MDPI AG in Microorganisms
- Vol. 10 (3) , 536
Legionella pneumophila in Municipal Shower Systems in Stavanger, Norway; A Longitudinal Surveillance Study Using Whole Genome Sequencing in Risk Management
Following an incidence of Legionnaires disease (LD) in 2007, where a municipal shower system was the likely source of infection, Stavanger municipality initiated a surveillance program for Legionella as part of establishing internal risk evaluation and prevention routines. More than 250 shower systems were examined for cultivatable Legionella pneumophila. The prevalence and diversity of serogroups (sg) and sequence types (STs) of L. pneumophila were mapped using available typing techniques over a period of more than 10 years (2010–2021). The surveillance showed an overall reduction in the L. pneumophila colonisation rate in municipal systems from 11 to 4.5% following prevention measures during the period, with the highest colonisation rate in complex systems (e.g., larger nursing homes and sports complexes). Further, an approximately even distribution between sg1 and 2–14 was seen. Whole genome sequencing (WGS) revealed that only a limited number of STs were detected, and they were consistent at specific locations over time. This study showed that environmental surveillance data in combination with available typing techniques and WGS can give the municipality a better tool for risk management and an overview of ST distributions that can be a valuable asset in future source investigations.
- 28 February 2022
- Published by MDPI AG in Microorganisms
- Vol. 10 (3) , 536
Open AccessLegionella pneumophila in Municipal Shower Systems in Stavanger, Norway; A Longitudinal Surveillance Study Using Whole Genome Sequencing in Risk Management
Following an incidence of Legionnaires disease (LD) in 2007, where a municipal shower system was the likely source of infection, Stavanger municipality initiated a surveillance program for Legionella as part of establishing internal risk evaluation and prevention routines. More than 250 shower systems were examined for cultivatable Legionella pneumophila. The prevalence and diversity of serogroups (sg) and sequence types (STs) of L. pneumophila were mapped using available typing techniques over a period of more than 10 years (2010–2021). The surveillance showed an overall reduction in the L. pneumophila colonisation rate in municipal systems from 11 to 4.5% following prevention measures during the period, with the highest colonisation rate in complex systems (e.g., larger nursing homes and sports complexes). Further, an approximately even distribution between sg1 and 2–14 was seen. Whole genome sequencing (WGS) revealed that only a limited number of STs were detected, and they were consistent at specific locations over time. This study showed that environmental surveillance data in combination with available typing techniques and WGS can give the municipality a better tool for risk management and an overview of ST distributions that can be a valuable asset in future source investigations.
- Open Access
- 1 July 2021
- Published by TechnoFit Academic Publishers LLC in Journal of International Crisis and Risk Communication Research
- Vol. 4 (2) , 413-438
Risk and Crisis Communication about Invisible Hazards
This article discusses differences between invisible and visible hazards, and how these differences can affect risk and crisis communication. Invisible hazards are risks that we cannot see, and often cannot touch, taste, nor smell. Examples are COVID-19, radon gas, mold spores, or asbestos fibers. Invisible hazards are often uncertain, complex, and ambiguous risk problems. Results from a Norwegian study show that authorities need to be aware of the possible differences in risk perception among authorities, stakeholders, and the general public. Involving citizens, creating trust, and being honest is important for all risk and crisis communication. However, the less we know about a hazard, the more we need to rely on others to make decisions, and consequently trust is particularly important when dealing with invisible hazards.
- 1 July 2021
- Published by TechnoFit Academic Publishers LLC in Journal of International Crisis and Risk Communication Research
- Vol. 4 (2) , 413-438
Open AccessRisk and Crisis Communication about Invisible Hazards
This article discusses differences between invisible and visible hazards, and how these differences can affect risk and crisis communication. Invisible hazards are risks that we cannot see, and often cannot touch, taste, nor smell. Examples are COVID-19, radon gas, mold spores, or asbestos fibers. Invisible hazards are often uncertain, complex, and ambiguous risk problems. Results from a Norwegian study show that authorities need to be aware of the possible differences in risk perception among authorities, stakeholders, and the general public. Involving citizens, creating trust, and being honest is important for all risk and crisis communication. However, the less we know about a hazard, the more we need to rely on others to make decisions, and consequently trust is particularly important when dealing with invisible hazards.