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- Title
Genomic analyses of unique carbohydrate and phytohormone metabolism in the macroalga <italic>Gracilariopsis lemaneiformis</italic> (Rhodophyta).
- Authors
Sun, Xue; Wu, Jun; Wang, Guangce; Kang, Yani; Ooi, Hong Sain; Shen, Tingting; Wang, Fangjun; Yang, Rui; Xu, Nianjun; Zhao, Xiaodong
- Abstract
Background: Red algae are economically valuable for food and in industry<italic>.</italic> However, their genomic information is limited, and the genomic data of only a few species of red algae have been sequenced and deposited recently. In this study, we annotated a draft genome of the macroalga <italic>Gracilariopsis lemaneiformis</italic> (Gracilariales, Rhodophyta). Results: The entire 88.98 Mb genome of <italic>Gp. lemaneiformis</italic> 981 was generated from 13,825 scaffolds (≥500 bp) with an N50 length of 30,590 bp, accounting for approximately 91% of this algal genome. A total of 38.73 Mb of scaffold sequences were repetitive, and 9281 protein-coding genes were predicted. A phylogenomic analysis of 20 genomes revealed the relationship among the Chromalveolata, Rhodophyta, Chlorophyta and higher plants. Homology analysis indicated phylogenetic proximity between <italic>Gp. lemaneiformis</italic> and <italic>Chondrus crispus</italic>. The number of enzymes related to the metabolism of carbohydrates, including agar, glycoside hydrolases, glycosyltransferases, was abundant. In addition, signaling pathways associated with phytohormones such as auxin, salicylic acid and jasmonates are reported for the first time for this alga. Conclusion: We sequenced and analyzed a draft genome of the red alga <italic>Gp. lemaneiformis</italic>, and revealed its carbohydrate metabolism and phytohormone signaling characteristics. This work will be helpful in research on the functional and comparative genomics of the order Gracilariales and will enrich the genomic information on marine algae.
- Subjects
RED algae; CARBOHYDRATE content of algae; PLANT hormone metabolism; NUCLEOTIDE sequencing; GENOMICS
- Publication
BMC Plant Biology, 2018, Vol 18, Issue 1, pN.PAG
- ISSN
1471-2229
- Publication type
Article
- DOI
10.1186/s12870-018-1309-2