Microalgal Classification

Heimann, Kirsten; Huerlimann, Roger

doi:10.1016/b978-0-12-800776-1.00003-0

Cited by 50 publications

(17 citation statements)

References 85 publications

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“…Regardless of the approaches used to identify algal species, the classification system has changed many times over the years. Currently, there is no consensus among the taxonomists around the world to use one classification over another (Heimann and Huerlimann, 2015;Malcata et al, 2018). However, one of the lastest classification models includes two main domains, Prokaryota and Eukaryota gathering seven kingdom: Archaebacteria, Eubacteria, Protozoa, Chromista, Fungi, Plantae and Animalia (Ruggiero et al, 2015).…”

Section: Classificationmentioning

confidence: 99%

A review of high value-added molecules production by microalgae in light of the classification

Levasseur

Perré

Pozzobon

2020

Biotechnology Advances

349

148

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Section: Classificationmentioning

confidence: 99%

A review of high value-added molecules production by microalgae in light of the classification

Levasseur

Perré

Pozzobon

2020

Biotechnology Advances

349

148

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“…The number of microalgal species is not clearly established, AlgaeBase [ 97 ] encompasses 159,173 species that include terrestrial, marine and freshwater organisms, but also marine macroalgae (seaweeds) [ 96 , 98 , 99 , 100 , 101 ]. The major Phyla/class accounting for commercial microalgae are Chlorophyta, Rhodophyta, Haptophyta, Stramenopiles, and Dinophyta [ 102 ].…”

Section: Cyanobacteria and Microalgae As Producers Of Antibacteriamentioning

confidence: 99%

Cyanobacteria and Eukaryotic Microalgae as Emerging Sources of Antibacterial Peptides

et al. 2020

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Cyanobacteria and microalgae are oxygen-producing photosynthetic unicellular organisms encompassing a great diversity of species, which are able to grow under all types of extreme environments and exposed to a wide variety of predators and microbial pathogens. The antibacterial compounds described for these organisms include alkaloids, fatty acids, indoles, macrolides, peptides, phenols, pigments and terpenes, among others. This review presents an overview of antibacterial peptides isolated from cyanobacteria and microalgae, as well as their synergism and mechanisms of action described so far. Antibacterial cyanopeptides belong to different orders, but mainly from Oscillatoriales and Nostocales. Cyanopeptides have different structures but are mainly cyclic peptides. This vast peptide repertoire includes ribosomal and abundant non-ribosomal peptides, evaluated by standard conventional methodologies against pathogenic Gram-negative and Gram-positive bacteria. The antibacterial activity described for microalgal peptides is considerably scarcer, and limited to protein hydrolysates from two Chlorella species, and few peptides from Tetraselmis suecica. Despite the promising applications of antibacterial peptides and the importance of searching for new natural sources of antibiotics, limitations still persist for their pharmaceutical applications.

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“…These lipid constituents have been proven suitable to be processed into biofuel [3]. Besides, Chlorella is cosmopolite microalgae, so it can easily be found, both in aquatic and terrestrial environments [4]. Reproduction stages of Chlorella is quite simple.…”

Section: Introductionmentioning

confidence: 99%

Difference in Time of Audible Sound Exposure to Chlorella DPK-01 in Tubular Photobioreactors: A Strategy to Improve Photobioreactor System

Tambunan

Santoso

Soekirno

et al. 2021

ARFMTS

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The cultivation of Chlorella DPK-01 in tubular photobioreactors (PBRs) with difference in time of audible sound exposure was done. The study aims to evaluate the effect of difference in time of audible sound exposure in tubular PBRs to the growth and lipid percentage of microalgae Chlorella DPK-01. This study was using three groups of Chlorella DPK-01 PBRs. One group was control group and not exposed to any sound (Control-PBR), one group was exposed to audible sound in the light (PBR-A), and another group was exposed to audible sound in the dark (PBR-B). Each group consists of three units of PBR. The audible sound (279.9 Hz sine wave) was played in the light for PBR-A and in the dark for PBR-B. The observation period was 14 days. The growth rate of Chlorella DPK-01 was 47.6% per day (Control-PBR), 0.44 per day (PBR-A), and 0.55 per day (PBR-B) respectively. Meanwhile, the lipid percentage of Chlorella DPK-01 was 16% (Control-PBR), 31% (PBR-A), and 11% (PBR-B) respectively. Therefore, exposing audible sound in the light and in the dark may differently affect the growth and lipid production of Chlorella DPK-01.

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Microalgal Classification

Cited by 50 publications

References 85 publications

A review of high value-added molecules production by microalgae in light of the classification

A review of high value-added molecules production by microalgae in light of the classification

Cyanobacteria and Eukaryotic Microalgae as Emerging Sources of Antibacterial Peptides

Difference in Time of Audible Sound Exposure to Chlorella DPK-01 in Tubular Photobioreactors: A Strategy to Improve Photobioreactor System

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