Cussigh, Alex
(2022)
The environmental DNA in the risk assessment and decision making processes for the invasive species management in agri-food sector, hydraulic security and biodiversity conservation, [Dissertation thesis], Alma Mater Studiorum Università di Bologna.
Dottorato di ricerca in
Scienze della terra, della vita e dell'ambiente, 34 Ciclo.
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Abstract
The use of environmental DNA (eDNA) analysis as a monitoring tool is becoming more and more widespread. The eDNA metabarcoding methods allow rapid community assessments of different target taxa.
This work is focused on the validation of the environmental DNA metabarcoding protocol for biodiversity assessment of freshwater habitats.
Scolo Dosolo was chosen as study area and three sampling points were defined for traditional and eDNA analyses. The gutter is a 205 m long anthropic canal located in Sala Bolognese (Bologna, Italy).
Fish community and freshwater invertebrate metazoans were the target groups for the analysis.
After a preliminary study in summer 2019, 2020 was devoted to the sampling campaign with winter (January), spring (May), summer (July) and autumn (October) surveys.
Alongside with the water samplings for the eDNA study, also traditional fish surveys using the electrofishing technique were performed to assess fish community composition; census on invertebrates was performed using an entomological net and a surber sampler.
After in silico analysis, the MiFish primer set amplifying a fragment of the 12s rRNA gene was selected for bony fishes. For invertebrates the FWHF2 + FWHR2N primer combination, that amplifies a region of the mitochondrial coi gene, was chosen.
Raw reads were analyzed through a bioinformatic pipeline based on OBITools metabarcoding programs package and QIIME2. The OBITools pipeline retrieved seven fish taxa and 54 invertebrate taxa belonging to six different phyla, while QIIME2 recovered eight fish taxa and 45 invertebrate taxa belonging to the same six phyla as the OBITools pipeline.
The metabarcoding results were then compared with the traditional surveys data and bibliographic records.
Overall, the validated protocol provides a reliable picture of the biodiversity of the study area and an efficient support to the traditional methods.
Abstract
The use of environmental DNA (eDNA) analysis as a monitoring tool is becoming more and more widespread. The eDNA metabarcoding methods allow rapid community assessments of different target taxa.
This work is focused on the validation of the environmental DNA metabarcoding protocol for biodiversity assessment of freshwater habitats.
Scolo Dosolo was chosen as study area and three sampling points were defined for traditional and eDNA analyses. The gutter is a 205 m long anthropic canal located in Sala Bolognese (Bologna, Italy).
Fish community and freshwater invertebrate metazoans were the target groups for the analysis.
After a preliminary study in summer 2019, 2020 was devoted to the sampling campaign with winter (January), spring (May), summer (July) and autumn (October) surveys.
Alongside with the water samplings for the eDNA study, also traditional fish surveys using the electrofishing technique were performed to assess fish community composition; census on invertebrates was performed using an entomological net and a surber sampler.
After in silico analysis, the MiFish primer set amplifying a fragment of the 12s rRNA gene was selected for bony fishes. For invertebrates the FWHF2 + FWHR2N primer combination, that amplifies a region of the mitochondrial coi gene, was chosen.
Raw reads were analyzed through a bioinformatic pipeline based on OBITools metabarcoding programs package and QIIME2. The OBITools pipeline retrieved seven fish taxa and 54 invertebrate taxa belonging to six different phyla, while QIIME2 recovered eight fish taxa and 45 invertebrate taxa belonging to the same six phyla as the OBITools pipeline.
The metabarcoding results were then compared with the traditional surveys data and bibliographic records.
Overall, the validated protocol provides a reliable picture of the biodiversity of the study area and an efficient support to the traditional methods.
Tipologia del documento
Tesi di dottorato
Autore
Cussigh, Alex
Supervisore
Co-supervisore
Dottorato di ricerca
Ciclo
34
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
Environmental DNA, metabarcoding, biodiversity, freshwater
URN:NBN
Data di discussione
27 Giugno 2022
URI
Altri metadati
Tipologia del documento
Tesi di dottorato
Autore
Cussigh, Alex
Supervisore
Co-supervisore
Dottorato di ricerca
Ciclo
34
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
Environmental DNA, metabarcoding, biodiversity, freshwater
URN:NBN
Data di discussione
27 Giugno 2022
URI
Gestione del documento: