Fungal Whole-Genome Sequencing for Species Identification: From Test Development to Clinical Utilization
Using next-generation sequencing (NGS), we developed and validated a whole-genome sequencing (WGS)-based clinical test for fungal species identification on clinical isolates. The identification is mainly based on the fungal ribosomal internal transcribed spacer (ITS) region as the primary marker, an...
Ausführliche Beschreibung
Autor*in: |
Zackary Salem-Bango [verfasserIn] Travis K Price [verfasserIn] June L Chan [verfasserIn] Sukantha Chandrasekaran [verfasserIn] Omai B Garner [verfasserIn] Shangxin Yang [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Übergeordnetes Werk: |
In: Journal of Fungi - MDPI AG, 2015, 9(2023), 2, p 183 |
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Übergeordnetes Werk: |
volume:9 ; year:2023 ; number:2, p 183 |
Links: |
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DOI / URN: |
10.3390/jof9020183 |
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Katalog-ID: |
DOAJ080239870 |
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10.3390/jof9020183 doi (DE-627)DOAJ080239870 (DE-599)DOAJ15f986f157294982b4510096e715459d DE-627 ger DE-627 rakwb eng QH301-705.5 Zackary Salem-Bango verfasserin aut Fungal Whole-Genome Sequencing for Species Identification: From Test Development to Clinical Utilization 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Using next-generation sequencing (NGS), we developed and validated a whole-genome sequencing (WGS)-based clinical test for fungal species identification on clinical isolates. The identification is mainly based on the fungal ribosomal internal transcribed spacer (ITS) region as the primary marker, and additional marker and genomic analysis applied for species within the Mucorales family (using the 28S rRNA gene) and <i<Aspergillus</i< genus (using the beta-tubulin gene and <i<k-mer</i< tree-based phylogenetic clustering). The validation study involving 74 unique fungal isolates (22 yeasts, 51 molds, and 1 mushroom-forming fungus) showed high accuracy, with 100% (74/74) concordance on the genus-level identifications and 89.2% (66/74) concordance on the species level. The 8 discrepant results were due to either the limitation of conventional morphology-based methodology or taxonomic changes. After one year of implementation in our clinical laboratory, this fungal NGS test was utilized in 29 cases; the majority of them were transplant and cancer patients. We demonstrated the utility of this test by detailing five case studies, in which accurate fungal species identification led to correct diagnosis, treatment adjustment or was ruled out for hospital acquired infection. This study provides a model for validation and implementation of WGS for fungal identification in a complex health system that serves a large immunocompromised patient population. fungal species identification next-generation sequencing whole-genome sequencing fungal infections ITS 28S rRNA Biology (General) Travis K Price verfasserin aut June L Chan verfasserin aut Sukantha Chandrasekaran verfasserin aut Omai B Garner verfasserin aut Shangxin Yang verfasserin aut In Journal of Fungi MDPI AG, 2015 9(2023), 2, p 183 (DE-627)796588538 (DE-600)2784229-0 2309608X nnns volume:9 year:2023 number:2, p 183 https://doi.org/10.3390/jof9020183 kostenfrei https://doaj.org/article/15f986f157294982b4510096e715459d kostenfrei https://www.mdpi.com/2309-608X/9/2/183 kostenfrei https://doaj.org/toc/2309-608X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2023 2, p 183 |
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10.3390/jof9020183 doi (DE-627)DOAJ080239870 (DE-599)DOAJ15f986f157294982b4510096e715459d DE-627 ger DE-627 rakwb eng QH301-705.5 Zackary Salem-Bango verfasserin aut Fungal Whole-Genome Sequencing for Species Identification: From Test Development to Clinical Utilization 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Using next-generation sequencing (NGS), we developed and validated a whole-genome sequencing (WGS)-based clinical test for fungal species identification on clinical isolates. The identification is mainly based on the fungal ribosomal internal transcribed spacer (ITS) region as the primary marker, and additional marker and genomic analysis applied for species within the Mucorales family (using the 28S rRNA gene) and <i<Aspergillus</i< genus (using the beta-tubulin gene and <i<k-mer</i< tree-based phylogenetic clustering). The validation study involving 74 unique fungal isolates (22 yeasts, 51 molds, and 1 mushroom-forming fungus) showed high accuracy, with 100% (74/74) concordance on the genus-level identifications and 89.2% (66/74) concordance on the species level. The 8 discrepant results were due to either the limitation of conventional morphology-based methodology or taxonomic changes. After one year of implementation in our clinical laboratory, this fungal NGS test was utilized in 29 cases; the majority of them were transplant and cancer patients. We demonstrated the utility of this test by detailing five case studies, in which accurate fungal species identification led to correct diagnosis, treatment adjustment or was ruled out for hospital acquired infection. This study provides a model for validation and implementation of WGS for fungal identification in a complex health system that serves a large immunocompromised patient population. fungal species identification next-generation sequencing whole-genome sequencing fungal infections ITS 28S rRNA Biology (General) Travis K Price verfasserin aut June L Chan verfasserin aut Sukantha Chandrasekaran verfasserin aut Omai B Garner verfasserin aut Shangxin Yang verfasserin aut In Journal of Fungi MDPI AG, 2015 9(2023), 2, p 183 (DE-627)796588538 (DE-600)2784229-0 2309608X nnns volume:9 year:2023 number:2, p 183 https://doi.org/10.3390/jof9020183 kostenfrei https://doaj.org/article/15f986f157294982b4510096e715459d kostenfrei https://www.mdpi.com/2309-608X/9/2/183 kostenfrei https://doaj.org/toc/2309-608X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2023 2, p 183 |
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10.3390/jof9020183 doi (DE-627)DOAJ080239870 (DE-599)DOAJ15f986f157294982b4510096e715459d DE-627 ger DE-627 rakwb eng QH301-705.5 Zackary Salem-Bango verfasserin aut Fungal Whole-Genome Sequencing for Species Identification: From Test Development to Clinical Utilization 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Using next-generation sequencing (NGS), we developed and validated a whole-genome sequencing (WGS)-based clinical test for fungal species identification on clinical isolates. The identification is mainly based on the fungal ribosomal internal transcribed spacer (ITS) region as the primary marker, and additional marker and genomic analysis applied for species within the Mucorales family (using the 28S rRNA gene) and <i<Aspergillus</i< genus (using the beta-tubulin gene and <i<k-mer</i< tree-based phylogenetic clustering). The validation study involving 74 unique fungal isolates (22 yeasts, 51 molds, and 1 mushroom-forming fungus) showed high accuracy, with 100% (74/74) concordance on the genus-level identifications and 89.2% (66/74) concordance on the species level. The 8 discrepant results were due to either the limitation of conventional morphology-based methodology or taxonomic changes. After one year of implementation in our clinical laboratory, this fungal NGS test was utilized in 29 cases; the majority of them were transplant and cancer patients. We demonstrated the utility of this test by detailing five case studies, in which accurate fungal species identification led to correct diagnosis, treatment adjustment or was ruled out for hospital acquired infection. This study provides a model for validation and implementation of WGS for fungal identification in a complex health system that serves a large immunocompromised patient population. fungal species identification next-generation sequencing whole-genome sequencing fungal infections ITS 28S rRNA Biology (General) Travis K Price verfasserin aut June L Chan verfasserin aut Sukantha Chandrasekaran verfasserin aut Omai B Garner verfasserin aut Shangxin Yang verfasserin aut In Journal of Fungi MDPI AG, 2015 9(2023), 2, p 183 (DE-627)796588538 (DE-600)2784229-0 2309608X nnns volume:9 year:2023 number:2, p 183 https://doi.org/10.3390/jof9020183 kostenfrei https://doaj.org/article/15f986f157294982b4510096e715459d kostenfrei https://www.mdpi.com/2309-608X/9/2/183 kostenfrei https://doaj.org/toc/2309-608X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2023 2, p 183 |
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10.3390/jof9020183 doi (DE-627)DOAJ080239870 (DE-599)DOAJ15f986f157294982b4510096e715459d DE-627 ger DE-627 rakwb eng QH301-705.5 Zackary Salem-Bango verfasserin aut Fungal Whole-Genome Sequencing for Species Identification: From Test Development to Clinical Utilization 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Using next-generation sequencing (NGS), we developed and validated a whole-genome sequencing (WGS)-based clinical test for fungal species identification on clinical isolates. The identification is mainly based on the fungal ribosomal internal transcribed spacer (ITS) region as the primary marker, and additional marker and genomic analysis applied for species within the Mucorales family (using the 28S rRNA gene) and <i<Aspergillus</i< genus (using the beta-tubulin gene and <i<k-mer</i< tree-based phylogenetic clustering). The validation study involving 74 unique fungal isolates (22 yeasts, 51 molds, and 1 mushroom-forming fungus) showed high accuracy, with 100% (74/74) concordance on the genus-level identifications and 89.2% (66/74) concordance on the species level. The 8 discrepant results were due to either the limitation of conventional morphology-based methodology or taxonomic changes. After one year of implementation in our clinical laboratory, this fungal NGS test was utilized in 29 cases; the majority of them were transplant and cancer patients. We demonstrated the utility of this test by detailing five case studies, in which accurate fungal species identification led to correct diagnosis, treatment adjustment or was ruled out for hospital acquired infection. This study provides a model for validation and implementation of WGS for fungal identification in a complex health system that serves a large immunocompromised patient population. fungal species identification next-generation sequencing whole-genome sequencing fungal infections ITS 28S rRNA Biology (General) Travis K Price verfasserin aut June L Chan verfasserin aut Sukantha Chandrasekaran verfasserin aut Omai B Garner verfasserin aut Shangxin Yang verfasserin aut In Journal of Fungi MDPI AG, 2015 9(2023), 2, p 183 (DE-627)796588538 (DE-600)2784229-0 2309608X nnns volume:9 year:2023 number:2, p 183 https://doi.org/10.3390/jof9020183 kostenfrei https://doaj.org/article/15f986f157294982b4510096e715459d kostenfrei https://www.mdpi.com/2309-608X/9/2/183 kostenfrei https://doaj.org/toc/2309-608X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 9 2023 2, p 183 |
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Using next-generation sequencing (NGS), we developed and validated a whole-genome sequencing (WGS)-based clinical test for fungal species identification on clinical isolates. The identification is mainly based on the fungal ribosomal internal transcribed spacer (ITS) region as the primary marker, and additional marker and genomic analysis applied for species within the Mucorales family (using the 28S rRNA gene) and <i<Aspergillus</i< genus (using the beta-tubulin gene and <i<k-mer</i< tree-based phylogenetic clustering). The validation study involving 74 unique fungal isolates (22 yeasts, 51 molds, and 1 mushroom-forming fungus) showed high accuracy, with 100% (74/74) concordance on the genus-level identifications and 89.2% (66/74) concordance on the species level. The 8 discrepant results were due to either the limitation of conventional morphology-based methodology or taxonomic changes. After one year of implementation in our clinical laboratory, this fungal NGS test was utilized in 29 cases; the majority of them were transplant and cancer patients. We demonstrated the utility of this test by detailing five case studies, in which accurate fungal species identification led to correct diagnosis, treatment adjustment or was ruled out for hospital acquired infection. This study provides a model for validation and implementation of WGS for fungal identification in a complex health system that serves a large immunocompromised patient population. |
abstractGer |
Using next-generation sequencing (NGS), we developed and validated a whole-genome sequencing (WGS)-based clinical test for fungal species identification on clinical isolates. The identification is mainly based on the fungal ribosomal internal transcribed spacer (ITS) region as the primary marker, and additional marker and genomic analysis applied for species within the Mucorales family (using the 28S rRNA gene) and <i<Aspergillus</i< genus (using the beta-tubulin gene and <i<k-mer</i< tree-based phylogenetic clustering). The validation study involving 74 unique fungal isolates (22 yeasts, 51 molds, and 1 mushroom-forming fungus) showed high accuracy, with 100% (74/74) concordance on the genus-level identifications and 89.2% (66/74) concordance on the species level. The 8 discrepant results were due to either the limitation of conventional morphology-based methodology or taxonomic changes. After one year of implementation in our clinical laboratory, this fungal NGS test was utilized in 29 cases; the majority of them were transplant and cancer patients. We demonstrated the utility of this test by detailing five case studies, in which accurate fungal species identification led to correct diagnosis, treatment adjustment or was ruled out for hospital acquired infection. This study provides a model for validation and implementation of WGS for fungal identification in a complex health system that serves a large immunocompromised patient population. |
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Using next-generation sequencing (NGS), we developed and validated a whole-genome sequencing (WGS)-based clinical test for fungal species identification on clinical isolates. The identification is mainly based on the fungal ribosomal internal transcribed spacer (ITS) region as the primary marker, and additional marker and genomic analysis applied for species within the Mucorales family (using the 28S rRNA gene) and <i<Aspergillus</i< genus (using the beta-tubulin gene and <i<k-mer</i< tree-based phylogenetic clustering). The validation study involving 74 unique fungal isolates (22 yeasts, 51 molds, and 1 mushroom-forming fungus) showed high accuracy, with 100% (74/74) concordance on the genus-level identifications and 89.2% (66/74) concordance on the species level. The 8 discrepant results were due to either the limitation of conventional morphology-based methodology or taxonomic changes. After one year of implementation in our clinical laboratory, this fungal NGS test was utilized in 29 cases; the majority of them were transplant and cancer patients. We demonstrated the utility of this test by detailing five case studies, in which accurate fungal species identification led to correct diagnosis, treatment adjustment or was ruled out for hospital acquired infection. This study provides a model for validation and implementation of WGS for fungal identification in a complex health system that serves a large immunocompromised patient population. |
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