A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Biological complexity in rapid biostimulant screening across multiple seasons
Tekijät: Rantanen, Iida-Maria; Isojärvi, Janne; Chovancek, Erik; Jokel, Martina; Sirin, Sema; Allahverdiyeva, Yagut
Kustantaja: SPRINGER
Julkaisuvuosi: 2025
Lehti: Journal of Applied Phycology
ISSN: 0921-8971
eISSN: 1573-5176
DOI: https://doi.org/10.1007/s10811-025-03673-z
Julkaisun avoimuus kirjaamishetkellä: Avoimesti saatavilla
Julkaisukanavan avoimuus : Osittain avoin julkaisukanava
Verkko-osoite: https://doi.org/10.1007/s10811-025-03673-z
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/505437370
Microalgae are a diverse group of photosynthetic microorganisms and offer a sustainable source of bioactive compounds for next generation plant biostimulants. In this study the biostimulant effect of 15 aqueous microalgal extracts, obtained by maceration and centrifugation, were screened using Arabidopsis thaliana root growth assay. Due to significant variations in root growth in treated and untreated (control) seedlings, even under controlled conditions, an integrative statistical strategy, incorporating dimensional reduction approaches, was employed to address this complexity. This analysis revealed significant seasonal variations in root growth, likely sensed by endogenous plants mechanisms, despite controlled growth conditions. By employing statistical methods and accounting for seasonal effects, Porphyridium purpureum and Chlorococcum sp. were identified as potent strains, consistently stimulating root growth by 15 - 45%. Based on available literature, no previous studies have explicitly addressed this issue in biostimulant assays. The observed circannual rhythm suggests that results from in vitro assays may vary significantly depending on the season in which they are conducted, and that future studies should carefully consider this factor. These findings provide valuable insights for optimizing rapid root/germination screening assays and guiding extract selection for evaluating biostimulant potential.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
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Open Access funding provided by University of Turku (including Turku University Central Hospital). This research was financially supported by the European Union Horizon Europe IA project REALM (grant agreement # 101060991).
