Pregled bibliografske jedinice broj: 1224537
Phytoplankton functional classification and eDNA metabarcoding for biomonitoring assessment of karstic lakes
Phytoplankton functional classification and eDNA metabarcoding for biomonitoring assessment of karstic lakes // 19th Workshop of the International Association of Phytoplankton Taxonomy and Ecology / Borics, Gábor (ur.).
Tiszafüred: Department of Tisza Research, Danube Research Institute, Centre for Ecological Research, Hungary, 2022. str. 17-17 (predavanje, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1224537 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Phytoplankton functional classification and eDNA metabarcoding for biomonitoring assessment of karstic lakes
Autori
Hanžek, Nikola ; Gligora Udovič, Marija ; Kajan, Katarina ; Borics, Gábor ; Várbíró, Gábor ; Stoeck, Thorsten ; Žutinić, Petar ; Orlić, Sandi ; Stanković, Igor
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
19th Workshop of the International Association of Phytoplankton Taxonomy and Ecology
/ Borics, Gábor - Tiszafüred : Department of Tisza Research, Danube Research Institute, Centre for Ecological Research, Hungary, 2022, 17-17
Skup
19th Workshop of the International Association of Phytoplankton Taxonomy and Ecology (IAP)
Mjesto i datum
Tiszafüred, Mađarska, 23.09.2022. - 30.09.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Hungarian Lake Phytoplankton Index, Utermöhl method, 18S rRNA V9, Chlorophyll a, Croatian natural karst lakes
Sažetak
Environmental DNA (eDNA) metabarcoding has been widely used and compared with the traditional morphological approach to be introduced as a reliable tool for biomonitoring assessment. Phytoplankton samples were collected from April to September in seven Croatian natural karstic lakes to compare the ecological status obtained by the morphological and eDNA metabarcoding approaches. The Hungarian Lake Phytoplankton Indeks (HLPI) was calculated using biomass and composition metrics for both eDNA metabarcoding (V9 region of 18S rRNA) and morphological approaches (Utermöhl method). Similar ecological requirements and favourable habitats for different functional groups (FGs) in lakes influenced the assignment of similar or the same factor number to FGs. This resulted in high correlation of HLPI values calculated using both approaches, regardless of differences in taxonomic and FG composition and proportions. Most differences in the ecological status were also found due to different methods of chlorophyll-a analysis. Although comparable results were obtained for ecological status assessment using the V9 region of 18S rRNA, the differences in phytoplankton composition indicated the need for further development and standardization for implementation in routine monitoring.
Izvorni jezik
Engleski
Znanstvena područja
Biologija
POVEZANOST RADA
Profili:
Nikola Hanžek
(autor)
Igor Stanković
(autor)
Katarina Kajan
(autor)
Marija Gligora Udovič
(autor)
Sandi Orlić
(autor)
Petar Žutinić
(autor)