基于mtDNA CO1序列的印尼中爪哇河口鳗鲡(Anguilla spp.)分子鉴定

Q4 Agricultural and Biological Sciences
Iffan Nadhif Falah, R. Adharini, S. Ratnawati
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引用次数: 0

摘要

重点研究通过形态学和分子标记对安圭拉鳗鲡进行了鉴定,形态学和分子鉴定的结果是不同的,分子鉴定有助于确认形态学鉴定。基于本研究,对中爪哇河口发现的安圭拉鳗鲡的分子鉴定为双色或双色可持续资源管理。考虑到安圭拉的形态特征非常相似,而且不能观察到很多,特别是在幼鳗阶段,基于形态特征的传统技术往往不太有效。基于dna的分子鉴定是一种确定多样性和系统发育的方法,用于保存和清查目的。本研究旨在确定在印度尼西亚中爪哇省Cilacap的Serayu河河口、Kebumen的Luk Ulo河河口和Purworejo的Jali河河口获得的安圭拉物种的多样性和系统发育。每个研究地点共取10个样本进行形态学分析,则已知每个研究地点有4个形态学不同的样本,因此共取12个样本进行分子分析。MEGA采用Kimura 2参数模型,通过邻居连接(NJ)算法构建系统发育树,该模型具有均匀速率,并通过1000次bootstrap复制得到。经形态学鉴定的安圭拉有四种,即双色安圭拉、太平洋安圭拉、暗安圭拉和南安圭拉。经分子鉴定的安圭拉属物种为双色安圭拉(Anguilla bicolor bicolor),鉴定率为bb0 - 98%。所有样本也已知与其他国家鉴定的双色安圭拉有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Molecular Identification of Elvers (Anguilla spp.) from River Estuaries in Central Java, Indonesia Using DNA Barcoding Based on mtDNA CO1 Sequences
Highlight Research The elvers of Anguilla were identified through the morphological and molecular markers The result of morphological and molecular identification is different The molecular identification helps to confirm the morphological identification Based on this study molecular identification of the elvers of Anguilla found in river estuaries of Central Java is Anguilla bicolor bicolor   Abstract An inventory of the presence and diversity of Anguilla spp. needs to be carried out as a basis for sustainable resource management. Conventional techniques based on morphological characteristics—are often less effective considering the morphological characteristics of Anguilla spp. are very identical and not so many can be observed, especially at the young eel stage. DNA-based molecular identification can be a way to determine diversity and phylogeny for conservation and inventory purposes. This research aimed to determine the diversity and phylogeny of Anguilla spp. obtained at the estuaries of Serayu River in Cilacap, Luk Ulo River in Kebumen, and Jali River in Purworejo in Central Java, Indonesia. A total of 10 samples were taken from each research location were analyzed morphologically, then it is known that there are 4 morphologically different samples at each research location so that a total of 12 samples were taken for molecular analysis. MEGA was used to construct the phylogenetic trees via Neighbour Joining (NJ) algorithms using the Kimura 2-parameter model with uniform rates and obtained by 1000 bootstraps replication. There are four species of Anguilla spp. identified morphologically, namely Anguilla bicolor bicolor, Anguilla bicolor pacifica, Anguilla obscura, and Anguilla australis. The species of Anguilla spp. that is molecularly identified is Anguilla bicolor bicolor with an identity percentage of > 98%. All samples are also known to be related to Anguilla bicolor bicolor identified in other countries.
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来源期刊
Jurnal Ilmiah Perikanan dan Kelautan
Jurnal Ilmiah Perikanan dan Kelautan Agricultural and Biological Sciences-Food Science
CiteScore
1.60
自引率
0.00%
发文量
35
审稿时长
8 weeks
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