Biology subjects

Aung, N. M.

Publications and source records attributed to Aung, N. M..

3 recordsLinked to original sources

bioRxiv2024

Enterobacterial repetitive intergenic consensus (ERIC)-PCR analysis as a trace for Burkholderia pseudomallei in Myanmar

Melioidosis is a potentially fatal disease caused by Burkholderia pseudomallei, which is endemic in Southeast Asia, including Myanmar. The typeability of enterobacterial repetitive intergenic consensus (ERIC)-PCR assessed for 21 B. pseudomallei, they used the results of sequence types (STs) of the multilocus sequence typing (MLST) method. Among 5 soil and 16 clinical B. pseudomallei isolates, the most significant bands were similar in position but different in minor band formation. ST 90 of two soil strains (Tontae_NMBP001 and Tontae_NMBP002) displayed the same ERIC banding pattern, while ST 56 of two clinical isolates (MMBP005 and MMBP010) from different regions exhibited a single type. The same ST found both clusters in the MLST method. The shared group STs showed four or three satellite variants in the MLST scheme. One novel studied ST (ST 1729) and regarded it as an out-group in the ERIC pattern. ERIC PCR demonstrated high discriminatory power, while MLST provided more discrimination for genetic diversity. MLST requires extensive sequencing and bioinformatics analysis, making it challenging to implement in resource-limited settings. More isolates are needed to validate these findings. Despite its limitations, ERIC PCR represents a valuable and cost-effective alternative to MLST for molecular typing of B. pseudomallei in resource-limited settings.

microbiology↗

bioRxiv2024

Distribution of soil and clinical Burkholderia pseudomallei isolates in Myanmar by using MLST

Burkholderia pseudomallei can be identified as Gram-negative bacillus without spore-forming in an environment such as soil and stagnant water. Human factors and climate changes make the incidence of melioidosis higher. Soil with high moisture and clay-rich is a suitable residence for B. pseudomallei. Twenty-one isolates of B. pseudomallei were collected and performed by multilocus sequence typing. Among them, eight novel sequence types (STs) of B. pseudomallei were found, while the rest show known STs. Interestingly, ST 56 from two patients was identified as the same region, while ST 90 showed local and global distribution. Among six ST 90 B. pseudomallei, the three isolates were from soil and patients. Clinical ST 90 isolates were traced in the same region as soil ST 90 isolates. Those isolates may correlate with each other by using multilocus sequence typing (MLST) cost-effectively. However, it still needs to prove its correct relatedness. This study pointed out the reasonable assumption of Burkholderia pseudomallei for local and global distribution in Myanmar.

microbiology↗

bioRxiv2022

Genomic tracking of SARS-COV-2 variants in Myanmar

BackgroundIn December 2019, the COVID-19 disease started in Wuhan, China. WHO declared a pandemic on March 12, 2020, and the disease started in Myanmar on March 23, 2020. December brought variants around the world, threatening the healthcare systems. To counter those threats, Myanmar started the COVID-19 variant surveillance program in late 2020. MethodsWhole genome sequencing was done six times between January 2021 and March 2022. We chose 83 samples with a PCR threshold cycle of less than 25. Then, we used MiSeq FGx for sequencing and Illumina DRAGEN COVIDSeq pipeline, command line interface, GISAID, and MEGA version 7 for data analysis. Result and DiscussionJanuary 2021 results showed no variant. The second run during the rise of cases in June 2021 showed multiple variants like Alpha, Delta, and Kappa. There is only Delta in the third run at the height of mortality in August, and Delta alone continued until the fourth run in December. After the world reported the Omicron variant in November, Myanmar started a surveillance program. The fifth run in January 2022 showed both Omicron and Delta variants. The sixth run in March 2022 showed only Omicron BA.2. Amino acid mutation at receptor binding domain (RBD) of Spike glycoprotein started since the second run coupling with high transmission, recurrence, and vaccine escape. We also found the mutation at the primer targets used in current RT-PCR platforms. ConclusionThe occurrence of multiple variants and mutations claimed vigilance at ports of entry and preparedness for effective control measures. Genomic surveillance with the observation of evolutionary data is required to predict imminent threats of the current disease and diagnose emerging infectious diseases.

bioinformatics↗