Wen-Jia Liu , Jia-Wei Gao , Yu Zhang , Cong Sun , Lin Xu
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引用次数: 0
Abstract
Aestuariibaculum lutulentum L182T (= KCTC 92530T = MCCC 1K08065T) was isolated from the tidal sediment collected in Beihai, People's Republic of China. The genome was sequenced and consisted of a single chromosome with the size of 3,782,725 bp and DNA G + C content of 35.1%. Genomic annotations demonstrated that it encoded 12 rRNA genes, 56 tRNA genes and 3210 ORFs. The percentages of ORFs assigned to CAZy, COG, and KEGG databases were 5.5, 86.2 and 45.5%, respectively. Comparative genomic analysis indicated that the pan- and core-genomes of the genus Aestuariibaculum consisted of 4826 and 2257 orthologous genes, respectively. Carbohydrate-active enzyme annotations of the genus Aestuariibaculum genomes revealed that they shared three polysaccharide lyase (PL) families including PL1, PL22 and PL42. Meanwhile, one carotenoid biosynthetic gene cluster related to biosynthesizing flexixanthin was found in the genus Aestuariibaculum. Furthermore, the core-genome of the genus Aestuariibaculum showed that this genus played a role in cleaving pectate, degrading ulvan, and biosynthesizing carotenoids. This study is a complete genomic report of the genus Aestuariibaculum and broadens understandings of its ecological roles and biotechnological applications.
期刊介绍:
The journal publishes papers on all functional and evolutionary aspects of genes, chromatin, chromosomes and (meta)genomes of marine (and freshwater) organisms. It deals with new genome-enabled insights into the broader framework of environmental science. Topics within the scope of this journal include:
• Population genomics and ecology
• Evolutionary and developmental genomics
• Comparative genomics
• Metagenomics
• Environmental genomics
• Systems biology
More specific topics include: geographic and phylogenomic characterization of aquatic organisms, metabolic capacities and pathways of organisms and communities, biogeochemical cycles, genomics and integrative approaches applied to microbial ecology including (meta)transcriptomics and (meta)proteomics, tracking of infectious diseases, environmental stress, global climate change and ecosystem modelling.