Genome Report | Genome Report
Microbiol. Biotechnol. Lett. 2024; 52(4): 500-504
https://doi.org/10.48022/mbl.2408.08014
Ha-Yeon Lee1,2, Jeong-Ah Yoon2, Jae-Geel Lim1, Hye-Jeong Kwon1, Eun-Hee Park3, and Myoung-Dong Kim3,4*
1Agro-Food Research Institute, Gangwon State Agricultural Research and Extension Services, Chuncheon 24203, Republic of Korea
2Department of Food Biotechnology and Environmental Science, Kangwon National University, Chuncheon 24341, Republic of Korea
3Department of Food Science and Biotechnology, Kangwon National University, Chuncheon 24341, Republic of Korea
4Institute of Fermentation and Brewing, Kangwon National University, Chuncheon 24341, Republic of Korea
Correspondence to :
Myoung-Dong Kim, mdkim@kangwon.ac.kr
Acetobacter oryzifermentans AFY-4, a potent acetic acid producer, was isolated from traditional Korean rice vinegar. This study presents the draft genome sequence of A. oryzifermentans AFY-4. The genome of A. oryzifermentans AFY-4 is 3,222,280 bp in length, with a G+C content of 52.5%, including 2,962 protein-coding sequences (CDSs), 57 transfer RNA genes, and 15 ribosomal RNA genes. A. oryzifermentans AFY-4 exhibited high orthologous average nucleotide identity values with other A. oryzifermentans strains, including SLV-7, DmCS_004, and DM001. Pan- and core-genome analysis showed that the AFY-4 strain is more closely related to the SLV-7 strain than other A. oryzifermentans strains.
Keywords: Acetobacter oryzifermentans, genome, acetic acid bacteria, vinegar
Acetic acid bacteria are strictly aerobic, Gram-negative, and non-spore-forming bacteria belonging to the family
A phylogenetic tree and heat map were constructed based on the unweighted pair group method with arithmetic mean (UPGMA), and orthologous ANI (OrthoANI) were calculated from OAT software (ver. 0.93.1) [7]. EggNog (evolutionary genealogy of genes: non-supervised orthologous groups) classification was mapped to clusters of orthologous genes (COG) categories. Pan- and core-genome analysis was performed using all CDSs' gene presence and absence matrix and a Venn diagram [8] with the EzBioCloud comparative genomics database.
The total bases, mean length, and N50 value of the polymerase read in the draft genome of
Table 1 . Genome features of
Strain | Genome size (bp) | G+C content (%) | CDSs | rRNAs | tRNAs | GenBank Accession No. |
---|---|---|---|---|---|---|
3,222,280 | 52.5 | 2,962 | 5, 5, 5 (5S, 16S, 23S) | 57 | JBFNUA000000000 | |
2,799,488 | 52.5 | 2,789 | 5, 5, 5 (5S, 16S, 23S) | 57 | CP011120 | |
2,843,884 | 52.5 | 2,682 | 1, 1, 1 (5S, 16S, 23S) | 43 | NZ_JOKL00000000 | |
2,883,421 | 52.3 | 2,688 | 1, 1, 1 (5S, 16S, 23S) | 43 | NZ_AEUP00000000 | |
2,806,148 | 53.5 | 2,786 | 5, 5, 5 (5S, 16S, 23S) | 58 | CP012111 | |
2,744,393 | 53.0 | 2,912 | 5, 5, 5 (5S, 16S, 23S) | 57 | CP042808 | |
2,969,514 | 52.5 | 2,999 | 5, 5, 5 (5S, 16S, 23S) | 56 | CP023189 | |
3,988,649 | 55.5 | 3,713 | 5, 5, 5 (5S, 16S, 23S) | 58 | CP022699 | |
2,814,618 | 59.5 | 2,732 | 5, 5, 5 (5S, 16S, 23S) | 57 | CP043506 |
T: Type strain
DmCS_004 and DM001 strains were reported as
The OrthoANI values were calculated based on comparisons with other
In eggNog analysis (Fig. 2), significant categories included genes related to replication, recombination, and repair (317 genes, 12.04%); amino acid transport and metabolism (189 genes, 7.18%); and inorganic ion transport and metabolism (169 genes, 6.42%), excluding genes of unknown function, which represented the largest group.
Gene presence and absence analysis revealed numerous gene insertions and deletions distributed across the genome of
In conclusion, genomic analysis of
The draft
This study was performed by the research program (Project No. R0003863) funded by the Ministry of Trade, Industry and Energy in the Republic of Korea.
The authors have no financial conflicts of interest to declare.
Du-Gyeong Han, Ji-A Jeong, Sung-Kyoung Lee, Seong-Han Kim, and Se-Mi Jeon
Microbiol. Biotechnol. Lett. 2024; 52(2): 211-214 https://doi.org/10.48022/mbl.2403.03005Jihye Jung, Dawon Jo, Myoungjoo Riu, Seongho Ahn, and Do-Hyun Kim
Microbiol. Biotechnol. Lett. 2024; 52(2): 208-210 https://doi.org/10.48022/mbl.2403.03009Do-Won Jeong
Microbiol. Biotechnol. Lett. 2024; 52(1): 91-93 https://doi.org/10.48022/mbl.2402.02008