Classical morphology and DNA barcoding based identification of freshwater ectoparasite, Argulus foliaceus in rohu Labeo rohita

Author:

Snatashree Mohanty ,Mausumee Mohanty ,Sarma Kamal,Tarkeshwar Kumar ,Amitav Dey ,Paramananda Das ,Sanjeeb Kumar Sahoo

Abstract

DNA barcoding coupled with classical morphological description have become promising approach for the species levelidentification. In the present study, 278 numbers of rohu Labeo rohita were screened, for Argulus infestation, amongwhich 167 fish (60.07%) were found infested with Argulus. Morphological attributes of the parasites were studied by lightmicroscope (LM) and Scanning Electron Microscope (SEM) which showed dorsoventrally flattened body comprising ofhead, thorax, abdomen, a pair of large compound eyes, suctorial organs with sclerotised support structures and two openingsof spermatheca at posterior end. Posterior incision of abdomen do not reach the mid-line and the cephalo-thoracic carapacehave not extended beyond the beginning of abdomen. Further validation was done using molecular tools for accurateparasite identification. The pair-wise genetic distance value, using Kimura-2 parameter showed a species level variationof 0.001 (1%) with that of A. foliaceus, while 0.083 and 0.052 (i.e. more than 2%) with that of A. indicus and A. japonicusrespectively. Phylogenetic tree generated using Neighbour-Joining (NJ) and Maximum-Likelihood (ML) methods, withKimura-2 parameter were also in agreement with pairwise distance values. The mitochondrial cytochrome c oxidase subunit1 (COI) sequences of A. foliaceus formed one cluster with the present studied samples, whereas sequences of A. japonicusformed a sister group. Integrating morphological and rapid DNA barcoding tools, the species was delineated as A. foliaceus. Keywords: Argulus foliaceus, COI gene, DNA barcoding, Labeo rohita, Morphology

Publisher

Central Marine Fisheries Research Institute, Kochi

Subject

Aquatic Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3