Conjoint transcriptomic and proteogenomic analysis of quality formation in various Porphyra dentata harvests: Photosynthesis acts as a stressor

Author:

Yang Mingchang1234,Ma Lizhen3,Yang Xianqing145,Li Laihao145,Chen Shengjun1245,Qi Bo145,Wang Yueqi1245,Li Chunsheng1245,Wei Ya145,Wang Di145,Zhao Yongqiang1245ORCID

Affiliation:

1. Key Laboratory of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs, National R&D Center for Aquatic Product Processing, South China Sea Fisheries Research Institute Chinese Academy of Fishery Sciences Guangzhou China

2. Key Laboratory of Efficient Utilization and Processing of Marine Fishery Resources of Hainan Province Sanya Tropical Fisheries Research Institute Sanya China

3. College of Food Science and Bioengineering Tianjin Agricultural University Tianjin China

4. Co‐Innovation Center of Jiangsu Marine Bio‐industry Technology Jiangsu Ocean University Lianyungang China

5. Collaborative Innovation Center of Seafood Deep Processing Dalian Polytechnic University Dalian China

Abstract

AbstractPorphyra dentata is widely cultivated for its rich nutritional value and superior palatability. However, its quality varies with harvest time and there is a lack of understanding of the molecular mechanism of quality differences. Photosynthesis is a key factor in human‐mediated plant development and quality formation and changes. To explore the quality impact of photosynthesis on P. dentata, we compared transcriptomic and proteogenomic data of the first and fifth harvests. Of the 53,580 genes detected in this study, 7073 were identified as differentally expressed genes by RNA‐seq, and 462 showed differential expression between genes and proteins in proteogenomics. The results show that quality differences between harvest periods were regulated by proteins and genes from the allophycocyanin, Lhca1, chloroplast processing enzyme, and phycocyanin families. Generated cell tissue passivated continuously, the blades gradually became thicker and darker and had an increased degree of lignification, decreased protein levels, increased carbohydrate levels, and decreased quality. Our results demonstrate the complementary power of transcriptomics and proteogenomics and provide a rich database for quality improvement or evolutionary function analysis of P. dentata.

Publisher

Wiley

Subject

Food Science

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