First identification report for amino acid compositionof red algae Gracilaria spp.obtained from Central Java, Indonesia

<i>Gracilaria</i> is a genus of red algae found mainly in Asia. Various species of <i>Gracilaria</i> are distributed throughout Indonesia's marine waters, especially in coastal areas, and are cultivated for research and economic purposes. <i>Gracilaria</i> mainly consists of polysaccharides and pigments, which have hindered protein identification. The unique protein expressions have never been analyzed using a proteomic approach, and no reports are available on <i>Gracilaria</i> spp. amino acid sequences in Central Java. Based on this background, we aimed to explore <i>Gracilaria</i> protein characterization using unique peptide sequence analysis via LC-HRMS. The usage of liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS) has been growing in biomedical and environmental sciences, offering high accuracy in protein detection. We followed the LC-HRMS standard protocol with an optimized precipitation procedure. TCA/acetone precipitation was used for protein purification, after which the precipitate was subjected to protein digestion to obtain small peptide fractions. Protein analysis results are presented as protein concentrations, molecular models, and peptide sequences. This experiment identified four sequences derived from the Rhodophyta database: TKKILDK (845.5455 Da), TVKSLLTK (889.5717 Da), ILVKTLK (814.5761 Da), and TGcGRSKR (921.4683 Da). This study reveals peptide sequences for <i>Gracilaria</i> spp., showing similarities with other red algae species, along with the functions of the peptide sequences. Furthermore, amino acid models of secondary structures were provided to support our findings.

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Publication Details

Journal
BioTechnologia
Published
2024-12-19
DOI
https://doi.org/10.5114/bta.2024.145254
Citations
1
Primary Topic
Food and Agricultural Sciences
Type
article
Field-Weighted Citation Impact
0.35
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article

First identification report for amino acid compositionof red algae Gracilaria spp.obtained from Central Java, Indonesia

Tri Joko Raharjo, Tri Rini Nuringtyas, Klara Kharisma Bunga Chandra
1 citations
BioTechnologia
Food and Agricultural Sciences
0.35
article

First identification report for amino acid compositionof red algae Gracilaria spp.obtained from Central Java, Indonesia

Tri Joko Raharjo, Tri Rini Nuringtyas, Klara Kharisma Bunga Chandra
article en
1 citations

Abstract

<i>Gracilaria</i> is a genus of red algae found mainly in Asia. Various species of <i>Gracilaria</i> are distributed throughout Indonesia's marine waters, especially in coastal areas, and are cultivated for research and economic purposes. <i>Gracilaria</i> mainly consists of polysaccharides and pigments, which have hindered protein identification. The unique protein expressions have never been analyzed using a proteomic approach, and no reports are available on <i>Gracilaria</i> spp. amino acid sequences in Central Java. Based on this background, we aimed to explore <i>Gracilaria</i> protein characterization using unique peptide sequence analysis via LC-HRMS. The usage of liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS) has been growing in biomedical and environmental sciences, offering high accuracy in protein detection. We followed the LC-HRMS standard protocol with an optimized precipitation procedure. TCA/acetone precipitation was used for protein purification, after which the precipitate was subjected to protein digestion to obtain small peptide fractions. Protein analysis results are presented as protein concentrations, molecular models, and peptide sequences. This experiment identified four sequences derived from the Rhodophyta database: TKKILDK (845.5455 Da), TVKSLLTK (889.5717 Da), ILVKTLK (814.5761 Da), and TGcGRSKR (921.4683 Da). This study reveals peptide sequences for <i>Gracilaria</i> spp., showing similarities with other red algae species, along with the functions of the peptide sequences. Furthermore, amino acid models of secondary structures were provided to support our findings.

BioTechnologiaVol. 105(4)
Universitas Gadjah Mada (ID)
Openalex Percentile: Top 33%
Food and Agricultural Sciences
0.35
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