Conjoint transcriptomic and proteogenomic analysis of quality formation in various Porphyra dentata harvests: Photosynthesis acts as a stressor
文献类型： 外文期刊
作者： Yang, Mingchang 1 ; Ma, Lizhen 3 ; Yang, Xianqing 1 ; Li, Laihao 1 ; Chen, Shengjun 1 ; Qi, Bo 1 ; Wang, Yueqi 1 ; Li, Chunsheng 1 ; Wei, Ya 1 ; Wang, Di 1 ; Zhao, Yongqiang 1 ;
作者机构： 1.Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Natl R&D Ctr Aquat Prod Proc, Key Lab Aquat Prod Proc,Minist Agr & Rural Affairs, Guangzhou 510300, Peoples R China
2.Sanya Trop Fisheries Res Inst, Key Lab Efficient Utilizat & Proc Marine Fishery R, Sanya, Peoples R China
3.Tianjin Agr Univ, Coll Food Sci & Bioengn, Tianjin, Peoples R China
4.Jiangsu Ocean Univ, Coinnovat Ctr Jiangsu Marine Bioind Technol, Lianyungang, Peoples R China
5.Dalian Polytech Univ, Collaborat Innovat Ctr Seafood Deep Proc, Dalian, Peoples R China
关键词： edible quality; harvest period; LC-MS; MS; photosynthesis; red algae; RNA-seq
期刊名称：FOOD FRONTIERS （ 影响因子：9.9； 五年影响因子：10.0 ）
ISSN：
年卷期： 2023 年
页码：
收录情况： SCI
摘要： Porphyra 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.
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