Biodegradation of Inosine and Guanosine by Bacillus paranthracis YD01

肌苷 鸟苷 嘌呤核苷磷酸化酶 生物化学 化学 肌苷酸 次黄嘌呤 嘌呤 核苷 生物 基因 核苷酸
作者
Xinyue Du,Jiang Yuan,Yan Sun,Xiaoyu Cao,Yu Zhang,Qianqian Xu,Hai Yan
出处
期刊:International Journal of Molecular Sciences [Multidisciplinary Digital Publishing Institute]
卷期号:24 (19): 14462-14462 被引量:1
标识
DOI:10.3390/ijms241914462
摘要

Both inosine and guanosine are precursors of uric acid that may cause the diseases of hyperuricemia and gout in humans. Here, a promising bacterial strain for efficiently biodegrading both inosine and guanosine was successfully isolated from a healthy human intestine and identified as Bacillus paranthracis YD01 with 16S rRNA analysis. An initial amount of 49.6 mg·L−1 of inosine or 49.9 mg·L−1 of guanosine was completely removed by YD01 within 12 h, which showed that YD01 had a strong ability to biodegrade inosine and guanosine. Furthermore, the initial amount of 49.2 mg·L−1 of inosine or 49.5 mg·L−1 of guanosine was totally catalyzed by the intracellular crude enzymes of YD01 within 6 h, and the initial inosine amount of 49.6 mg·L−1 or guanosine of 49.7 mg·L−1 was biodegraded by the extracellular crude enzymes of YD01 within 9 h. Illumina Hiseq sequencing and database gene annotation were used to elucidate the genomic characteristics of B. paranthracis YD01. Purine nucleoside phosphorylase, encoded by gene 1785, gene 3933, and gene 4403, was found in the KEEG database, which played a crucial role in the biodegradation of inosine and guanosine. The results of this study provide valuable insights into the mechanisms for biodegrading inosine and guanosine using B. paranthracis YD01.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI6.1应助天罡采纳,获得50
刚刚
pxptmac完成签到,获得积分10
刚刚
anhydrous完成签到,获得积分10
2秒前
2秒前
顾矜应助jbq采纳,获得10
4秒前
4秒前
4秒前
5秒前
京城熬夜的荔枝完成签到,获得积分10
5秒前
冲丫发布了新的文献求助10
5秒前
乐乐应助白衣修身采纳,获得10
6秒前
小马甲应助dabw采纳,获得10
7秒前
7秒前
7秒前
所所应助Jane采纳,获得50
9秒前
10秒前
Pinocchioze完成签到,获得积分10
10秒前
孤独的从彤完成签到 ,获得积分10
10秒前
发发发布了新的文献求助10
11秒前
soso发布了新的文献求助10
12秒前
科研通AI6.1应助JiayiMu采纳,获得30
12秒前
Liu_cx完成签到,获得积分10
13秒前
于金发布了新的文献求助10
13秒前
14秒前
17秒前
17秒前
17秒前
18秒前
18秒前
Wei完成签到 ,获得积分10
20秒前
dabw发布了新的文献求助10
21秒前
嘎嘎嘎发布了新的文献求助10
21秒前
Jane发布了新的文献求助50
22秒前
天罡发布了新的文献求助50
22秒前
noshiro完成签到 ,获得积分10
22秒前
holycale发布了新的文献求助30
22秒前
冲丫完成签到 ,获得积分10
23秒前
一天三顿拼好饭完成签到,获得积分10
24秒前
叶远望完成签到,获得积分10
24秒前
hao完成签到,获得积分20
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6359465
求助须知:如何正确求助?哪些是违规求助? 8173415
关于积分的说明 17214366
捐赠科研通 5414555
什么是DOI,文献DOI怎么找? 2865459
邀请新用户注册赠送积分活动 1842829
关于科研通互助平台的介绍 1691052