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Pregled bibliografske jedinice broj: 1224537

Phytoplankton functional classification and eDNA metabarcoding for biomonitoring assessment of karstic lakes


Hanžek, Nikola; Gligora Udovič, Marija; Kajan, Katarina; Borics, Gábor; Várbíró, Gábor; Stoeck, Thorsten; Žutinić, Petar; Orlić, Sandi; Stanković, Igor
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



Citiraj ovu publikaciju:

Hanžek, Nikola; Gligora Udovič, Marija; Kajan, Katarina; Borics, Gábor; Várbíró, Gábor; Stoeck, Thorsten; Žutinić, Petar; Orlić, Sandi; Stanković, Igor
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)
Hanžek, N., Gligora Udovič, M., Kajan, K., Borics, G., Várbíró, G., Stoeck, T., Žutinić, P., Orlić, S. & Stanković, I. (2022) Phytoplankton functional classification and eDNA metabarcoding for biomonitoring assessment of karstic lakes. U: Borics, G. (ur.)19th Workshop of the International Association of Phytoplankton Taxonomy and Ecology.
@article{article, author = {Han\v{z}ek, Nikola and Gligora Udovi\v{c}, Marija and Kajan, Katarina and Borics, G\'{a}bor and V\'{a}rb\'{\i}r\'{o}, G\'{a}bor and Stoeck, Thorsten and \v{Z}utini\'{c}, Petar and Orli\'{c}, Sandi and Stankovi\'{c}, Igor}, editor = {Borics, G.}, year = {2022}, pages = {17-17}, keywords = {Hungarian Lake Phytoplankton Index, Uterm\"{o}hl method, 18S rRNA V9, Chlorophyll a, Croatian natural karst lakes}, title = {Phytoplankton functional classification and eDNA metabarcoding for biomonitoring assessment of karstic lakes}, keyword = {Hungarian Lake Phytoplankton Index, Uterm\"{o}hl method, 18S rRNA V9, Chlorophyll a, Croatian natural karst lakes}, publisher = {Department of Tisza Research, Danube Research Institute, Centre for Ecological Research, Hungary}, publisherplace = {Tiszaf\"{u}red, Ma\djarska} }
@article{article, author = {Han\v{z}ek, Nikola and Gligora Udovi\v{c}, Marija and Kajan, Katarina and Borics, G\'{a}bor and V\'{a}rb\'{\i}r\'{o}, G\'{a}bor and Stoeck, Thorsten and \v{Z}utini\'{c}, Petar and Orli\'{c}, Sandi and Stankovi\'{c}, Igor}, editor = {Borics, G.}, year = {2022}, pages = {17-17}, keywords = {Hungarian Lake Phytoplankton Index, Uterm\"{o}hl method, 18S rRNA V9, Chlorophyll a, Croatian natural karst lakes}, title = {Phytoplankton functional classification and eDNA metabarcoding for biomonitoring assessment of karstic lakes}, keyword = {Hungarian Lake Phytoplankton Index, Uterm\"{o}hl method, 18S rRNA V9, Chlorophyll a, Croatian natural karst lakes}, publisher = {Department of Tisza Research, Danube Research Institute, Centre for Ecological Research, Hungary}, publisherplace = {Tiszaf\"{u}red, Ma\djarska} }




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