A metabolically reciprocal interaction model is suggested: MEYA8 supplies diffusible growth-promoting factors such as IAA-like compounds to enhance Chlamydomonas photosynthesis and growth, while Chlamydomonas provides organic substrates that sustain bacterial proliferation.
Xin-Yan Wu, Xin Li, Meng-Ya Song et al.· Phycology· 0 citations
Coinoculation with growth-promoting microorganisms has proven to be an efficient strategy for enhancing the agronomic performance of onion (Allium cepa L.). This study evaluated the effect of inoculating Pantoea phytobeneficialis PF55 and Trichoderma harzianum ESALQ 1306, applied individually and in combination, on agr...
J. Machado, E. Meyer, Lázaro Nanque et al.· Archives of Microbiology· 0 citations
Evaluating the roles of NAA and 6-BA on the G. lemaneiformis showed that both NAA and 6-BA enhanced the relative growth rate, linear growth rate of main and lateral branches, as well as accumulation of phycobiliprotein, soluble polysaccharide and total lipid.
Lizhen Rong, Luke Chu, Mo Zou et al.· Botanica Marina· 0 citations
Trade-offs between biomass productivity and metabolite accumulation constrain microalgae cultivation for high-value biomolecules due to nutrient competition and concurrent metabolic pathways. This study evaluated the independent and combined effects of static magnetic fields (SMF) and polymeric nanofibers on growth per...
Matheus Pereira de Carvalho, M. G. de Morais, C. Gardarin et al.· Applied Sciences· 0 citations
Results suggest that J-G crude elicitor treatment may be a useful induction strategy for increasing resveratrol and polydatin accumulation in RGT sterile seedlings and provide candidate genes for future functional validation.
Jingru Liang, Yang Zhang, Xintao Li et al.· Current Microbiology· 0 citations
It is demonstrated that both the Sargassum-derived biostimulants can enhance biomass accumulation and pigment synthesis in both algae when applied at optimal levels, with particularly strong effects on pigment assimilation in C. sorokiniana.
Karuna Kumari Radha, ·. J. T. M. Leema, N. Vinithkumar et al.· Thalassas: An International...· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.