Species Identification through DNA Barcoding and Its Applications: A Review

DNA条形码 生物 鉴定(生物学) 条形码 进化生物学 物种鉴定 濒危物种 DNA测序 有机体 计算生物学 生态学 DNA 遗传学 计算机科学 栖息地 操作系统
作者
Le D. Chac,B. B. Thinh
出处
期刊:Biology bulletin of the Russian Academy of Sciences [Pleiades Publishing]
卷期号:50 (6): 1143-1156 被引量:35
标识
DOI:10.1134/s106235902360229x
摘要

Species identification is a critical aspect of biological research, with applications in fields such as ecology, microbiology, and conservation. The ability to accurately identify species is essential for understanding species' diversity, distribution, and ecology, as well as for identifying pathogens and endangered species. However, identifying species can be challenging, particularly for microscopic organisms or those with high morphological variation. DNA barcoding has emerged as a tool for species identification based on a standardized DNA sequence. The aim of this article is to provide a comprehensive overview of the current state of species identification through DNA barcoding and its applications. Overall, this tool has been gaining popularity due to its high accuracy and efficiency in identifying species, especially in cases where morphological identification is difficult or impossible. However, to correctly identify organisms from various samples, appropriate DNA barcode sequences must be used at different taxonomic levels. These DNA barcodes can be found in either the nucleus or the cytoplasm of an organism's cells, and they may be used alone or in combination to enhance the accuracy of identification. In summary, DNA barcoding is a powerful molecular tool for species identification that has revolutionized our understanding of species diversity and evolutionary relationships. The potential applications of DNA barcoding are vast and far-reaching, making it a valuable tool for researchers and conservationists alike.
最长约 10秒,即可获得该文献文件

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
1秒前
1秒前
1秒前
斯文败类应助Shelley采纳,获得10
2秒前
3秒前
友好八宝粥应助风趣香氛采纳,获得10
4秒前
TYT应助ice采纳,获得10
5秒前
大可发布了新的文献求助30
5秒前
6秒前
无一发布了新的文献求助10
6秒前
哒嘟发布了新的文献求助20
6秒前
hutao发布了新的文献求助10
7秒前
sophieCCM0302完成签到,获得积分10
7秒前
ddyytt完成签到,获得积分10
8秒前
传奇3应助scimaker采纳,获得10
8秒前
8秒前
搞科研的蜗牛完成签到 ,获得积分10
9秒前
9秒前
我是奇葩完成签到,获得积分10
9秒前
11秒前
ppsweek发布了新的文献求助20
12秒前
田様应助didihe采纳,获得10
12秒前
snowy_owl发布了新的文献求助10
13秒前
13秒前
科研通AI6.4应助快乐吗猪采纳,获得10
14秒前
14秒前
15秒前
15秒前
15秒前
无花果应助zz采纳,获得10
17秒前
迷人的念薇完成签到,获得积分10
17秒前
Shelley发布了新的文献求助10
17秒前
17秒前
兵王应助温暖伟祺采纳,获得10
17秒前
zqxu发布了新的文献求助10
17秒前
oylc完成签到,获得积分10
18秒前
19秒前
柠檬忌324完成签到,获得积分10
19秒前
等待香薇完成签到,获得积分10
20秒前
hutao完成签到,获得积分10
20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
Principles of town planning: translating concepts to applications 1000
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems 400
The Neuroscience of Language 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7687110
求助须知:如何正确求助?哪些是违规求助? 9250182
关于积分的说明 19961469
捐赠科研通 7260139
什么是DOI,文献DOI怎么找? 3289721
关于科研通互助平台的介绍 2446647
邀请新用户注册赠送积分活动 2294249