Adzdzakiy Muhammad M, Sutarno Sutarno, Asyifa Isnaini Z, Sativa Alvira R, Fiqri Ahmad R A, Fibriani Azzania, Ristandi Ryan B, Ningrum Ratih A, Iryanto Syam B, Prasetyoputri Anggia, Dharmayanthi Anik B, Saputra Sugiyono
Graduate School of Bioscience, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Jl. Ir. Sutami 36A Surakarta, Central Java, Indonesia.
Master Program in Biomedical Science, Faculty of Medicine, Universitas Indonesia, Jl. Salemba Raya No.6, Jakarta, Indonesia.
J Taibah Univ Med Sci. 2023 Sep 13;19(1):70-81. doi: 10.1016/j.jtumed.2023.09.001. eCollection 2024 Feb.
The number of COVID-19 cases in Indonesia reflects the disease severity and rapid dissemination. In response to the mounting threat, SARS-CoV-2 genomic surveillance and the investigation of naso-oropharyngeal bacterial communities in West Java were conducted, as dysbiosis of the upper respiratory tract microbiota might adversely affect the clinical condition of patients.
We utilized the Oxford Nanopore sequencing platform to analyze genetic variation of 43 samples of SARS-CoV-2 and 11 selected samples for 16S rRNA gene sequencing, using samples collected from May to August 2021.
The prevalence of AY.23 (>82%) predominated among five virus lineages in the populations (AY.23, AY.24, AY.26, AY.42, B.1.1.7). The region in the SARS-CoV-2 genome found to have the highest number of mutations was the spike (S) protein (>20%). There was no association between SARS-CoV-2 lineages, mutation frequency, patient profile, and COVID-19 rapid spread-categorized cases. There was no association of bacterial relative abundance, alpha-beta diversity, and linear discriminant analysis effect size analysis with patient profile and rapid spread cases. MetagenomeSeq analysis showed eight differential abundance species in individual patient profiles, including and .
The data demonstrated relevant AY.23 dominance (the Delta variant) in West Java during that period supporting the importance of surveillance program in monitoring disease progression. The inconsistent results of the bacterial communities suggest that a complex multifactor process may contribute to the progression of bacterial-induced disease in each patient.
印度尼西亚的新冠病毒病(COVID-19)病例数反映了疾病的严重程度和快速传播情况。为应对日益严重的威胁,在西爪哇开展了严重急性呼吸综合征冠状病毒2(SARS-CoV-2)基因组监测以及鼻咽部细菌群落调查,因为上呼吸道微生物群失调可能会对患者的临床状况产生不利影响。
我们利用牛津纳米孔测序平台分析了43份SARS-CoV-2样本的基因变异情况,并对11份选定样本进行16S核糖体RNA(rRNA)基因测序,样本采集时间为2021年5月至8月。
在人群中的五种病毒谱系(AY.23、AY.24、AY.26、AY.42、B.1.1.7)中,AY.23的流行率最高(>82%)。SARS-CoV-2基因组中发现突变数量最多的区域是刺突(S)蛋白(>20%)。SARS-CoV-2谱系、突变频率、患者资料与COVID-19快速传播分类病例之间没有关联。细菌相对丰度、α-β多样性以及线性判别分析效应大小分析与患者资料和快速传播病例之间没有关联。宏基因组序列分析显示,个体患者资料中有8种差异丰度物种,包括 和 。
数据表明,在此期间AY.23(德尔塔变异株)在西爪哇占主导地位,这支持了监测计划在监测疾病进展中的重要性。细菌群落结果不一致表明,一个复杂的多因素过程可能导致每位患者细菌感染性疾病的进展。