Seasonal Changes in the Biochemical Constituents of Green Seaweed Chaetomorpha antennina from Covelong, India

Biomolecules. 2022 Oct 13;12(10):1475. doi: 10.3390/biom12101475.

Abstract

Seaweeds are well known for having a wealth of nutritional benefits and providing ecological support to associated fauna. Seasonality influences the biochemical characteristics, affecting their ecological and economic values. In the present study, we evaluated pigments, primary and secondary metabolites, minerals, and antioxidant properties of green seaweed Chaetomorpha antennina growing on the intertidal rocks along the Covelong coast, India, in different seasons (from June 2019 to March 2020). Significant variations were found in the levels of antioxidants, minerals, and metabolites in different seasons, e.g., amino acid levels were the highest in post-monsoon and the lowest in summer. In monsoon, we found the highest concentration of fatty acids in the thalli. Lipid peroxidation and total antioxidant activity were at their maximum levels during post-monsoon, which indicated oxidative damage responses. No significant variations were found in the levels of photosynthetic pigments. The outcomes indeed suggested seasonal variations in the biochemical and nutrient profile of C. antennina. We suggest that the harvesting/collection of C. antennina for different nutrients and metabolites should be performed in the respective seasons.

Keywords: minerals; nutritional quality; oxidative stress; seasonality; tropical seaweed.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Amino Acids / metabolism
  • Antioxidants / metabolism
  • Chlorophyta* / chemistry
  • Fatty Acids / metabolism
  • Minerals / metabolism
  • Seasons
  • Seaweed* / chemistry

Substances

  • Antioxidants
  • Minerals
  • Fatty Acids
  • Amino Acids

Grants and funding

This work was supported by Science and Engineering Research Board (SERB), Department of Science and Technology (DST), Government of India for the Early Career Research (ECR) (grant number ECR/2017/002894, awarded to AK). This work was funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project number PNURSP2022R214, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.