Molecular docking and metagenomics assisted mitigation of microplastic pollution

基因组 微塑料 生化工程 污染物 生物降解 微生物降解 计算生物学 生物 环境化学 化学 生态学 工程类 微生物 细菌 生物化学 遗传学 基因
作者
Dinesh Parida,Konica Katare,Ashit K. Ganguly,Disha Chakraborty,Oisi Konar,Regina Apolinária Nogueira,Boggavarapu Kiran
出处
期刊:Chemosphere [Elsevier BV]
卷期号:351: 141271-141271
标识
DOI:10.1016/j.chemosphere.2024.141271
摘要

Microplastics, tiny, flimsy, and direct progenitors of principal and subsidiary plastics, cause environmental degradation in aquatic and terrestrial entities. Contamination concerns include irrevocable impacts, potential cytotoxicity, and negative health effects on mortals. The detection, recovery, and degradation strategies of these pollutants in various biota and ecosystems, as well as their impact on plants, animals, and humans, have been a topic of significant interest. But the natural environment is infested with several types of plastics, all having different chemical makeup, structure, shape, and origin. Plastic trash acts as a substrate for microbial growth, creating biofilms on the plastisphere surface. This colonizing microbial diversity can be glimpsed with meta-genomics, a culture-independent approach. Owing to its comprehensive description of microbial communities, genealogical evidence on unconventional biocatalysts or enzymes, genomic correlations, evolutionary profile, and function, it is being touted as one of the promising tools in identifying novel enzymes for the degradation of polymers. Additionally, computational tools such as molecular docking can predict the binding of these novel enzymes to the polymer substrate, which can be validated through in vitro conditions for its environmentally feasible applications. This review mainly deals with the exploration of metagenomics along with computational tools to provide a clearer perspective into the microbial potential in the biodegradation of microplastics. The computational tools due to their polymathic nature will be quintessential in identifying the enzyme structure, binding affinities of the prospective enzymes to the substrates, and foretelling of degradation pathways involved which can be quite instrumental in the furtherance of the plastic degradation studies.

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
烟花应助Qionglin采纳,获得10
刚刚
科研通AI6.3应助林煜采纳,获得10
刚刚
橘子味完成签到 ,获得积分10
1秒前
执念发布了新的文献求助10
1秒前
笑一笑完成签到,获得积分10
2秒前
研友_nxwN7L发布了新的文献求助10
2秒前
Steve发布了新的文献求助10
2秒前
led完成签到,获得积分10
2秒前
YY完成签到,获得积分10
2秒前
kiki完成签到,获得积分10
3秒前
温柔的夜柳完成签到,获得积分10
3秒前
张一二二二完成签到,获得积分10
3秒前
儒雅无剑发布了新的文献求助10
3秒前
3秒前
无限初丹完成签到,获得积分10
4秒前
无极微光应助念舍离采纳,获得20
4秒前
暗香完成签到,获得积分10
4秒前
开朗满天关注了科研通微信公众号
4秒前
jing完成签到,获得积分10
4秒前
王铎完成签到,获得积分10
5秒前
小泉完成签到 ,获得积分10
5秒前
萄哥布鸽完成签到,获得积分10
5秒前
谦让谷菱完成签到,获得积分10
5秒前
搂猫睡觉的鱼完成签到,获得积分10
5秒前
qing_li完成签到,获得积分10
5秒前
清脆的怀柔完成签到,获得积分10
5秒前
5秒前
uu完成签到 ,获得积分10
6秒前
6秒前
潇潇完成签到,获得积分10
6秒前
Horizon完成签到,获得积分10
6秒前
kiki发布了新的文献求助20
6秒前
engine完成签到,获得积分10
7秒前
进击的硕士完成签到,获得积分10
7秒前
8秒前
9秒前
小彭仔完成签到,获得积分10
9秒前
HJC完成签到,获得积分10
9秒前
ljc完成签到,获得积分10
9秒前
9秒前
高分求助中
GL 2 A method for assessing the in-place cleanability of food processing equipment, Fourth Edition, December 2023 3000
Annie Ernaux: De la perte au corps glorieux 600
Writing Systems 500
Media Today Mass Communication in a Converging World 9th Edition 400
Understanding Modeling and Simulation of Polymerization Reactions 400
Invited Discussant 63O and 64O 400
A revision of Limenitis helmanni and its related species (Nymphalidae) from Central and South China 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 6832065
求助须知:如何正确求助?哪些是违规求助? 8542434
关于积分的说明 18174590
捐赠科研通 6174814
什么是DOI,文献DOI怎么找? 3036977
关于科研通互助平台的介绍 2022437
邀请新用户注册赠送积分活动 2014075