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Phenotypic variation using truss network system in the deep-sea shrimp Heterocarpus chani Li, 2006 (Caridea: Pandalidae) off Arabian Sea and Bay of Bengal
Indian Journal of Geo-Marine Sciences ( IF 0.5 ) Pub Date : 2021-01-13 G Kuberan, R D Chakraborty, P Purushothaman
Indian Journal of Geo-Marine Sciences ( IF 0.5 ) Pub Date : 2021-01-13 G Kuberan, R D Chakraborty, P Purushothaman
This study assesses the morphological differentiation of deepsea caridean shrimp, Heterocarpus chani Li, 2006 using a truss network system, to investigate different phenotypic stocks. Total, 1879 specimens were collected from Kalamuku (KAL), Sakthikulangara (SAK), and Colachel (COL) on the southwest coast of Arabian Sea (AS) and from Nagapattinam (NAG) and Tuticorin (TUT) on the southeast coast (BOB: Bay of Bengal) during 2013-2015. Multivariate analysis, such as Principal Component Analysis (PCA), Discriminant Factor Analysis (DFA), and Hierarchical Cluster Analysis (HCA) were used as statistical tools for differentiating the populations between the locations. Sex ratio was found to be 1:1. The coefficient of variation (CV) analysis was conducted for males and females using 39 morphometric truss variables which observed > 25 % variation. PCA indicates initial three components aggregately explained > 47 % of the total morphometric variation following the size effect correction. DFA demonstrated through the original and cross-validation 76.75 %, 72.26 % and 78.64 %, 74.81 % for male and female respectively, indicating significant variation in the first two canonical variables. DFA confirmed the presence of three distinct populations along the southern coasts of India. HCA also grouped the population into three major clusters specifically based on the 4th abdominal pleuron characters. The group-I included populations from NAG, group-II consisted of the TUT and group-III with SAK, KAL, and COL populations. Morphologically, the initial four abdominal pleuron characters were proved to be differentiating the population. The present study indicates the base study on morphological stock identification of H. chani indicating significant phenotypic heterogeneity between the populations of AS and BOB.
中文翻译:
利用桁架网络系统在阿拉伯海和孟加拉湾附近的深海虾Heterocarpus chani Li,2006(Caridea:Pandalidae)中利用表型变异
这项研究评估了深海caridean虾,杂种chani的形态分化李,2006年,使用桁架网络系统,调查不同的表型股票。总共从阿拉伯海(AS)西南海岸的卡拉马库(KAL),Sakthikulangara(SAK)和科拉切尔(COL)以及东南海岸(BOB:孟加拉湾)在2013-2015年期间。多变量分析(例如主成分分析(PCA),判别因子分析(DFA)和层次聚类分析(HCA))被用作统计工具,以区分不同地点的人口。发现性别比为1:1。使用39个形态学桁架变量对男性和女性进行变异系数(CV)分析,观察到变异> 25%。PCA表示最初解释的三个组成部分> 尺寸效应校正后,总形态变化的47%。通过原始验证和交叉验证,男性和女性的DFA分别为76.75%,72.26%和78.64%,74.81%,表明前两个规范变量存在显着差异。DFA确认了印度南部沿海地区三个不同种群的存在。HCA还将人口分为三大类,特别是根据这四类日腹部pleuron字符。第一组包括来自NAG的人群,第二组包括TUT,第三组包括SAK,KAL和COL人群。在形态上,最初的四个腹部胸膜特征被证明可以区分人群。本研究表明基础研究的沙门氏菌,表明AS和BOB种群之间显着的表型异质性。
更新日期:2021-01-13
中文翻译:
利用桁架网络系统在阿拉伯海和孟加拉湾附近的深海虾Heterocarpus chani Li,2006(Caridea:Pandalidae)中利用表型变异
这项研究评估了深海caridean虾,杂种chani的形态分化李,2006年,使用桁架网络系统,调查不同的表型股票。总共从阿拉伯海(AS)西南海岸的卡拉马库(KAL),Sakthikulangara(SAK)和科拉切尔(COL)以及东南海岸(BOB:孟加拉湾)在2013-2015年期间。多变量分析(例如主成分分析(PCA),判别因子分析(DFA)和层次聚类分析(HCA))被用作统计工具,以区分不同地点的人口。发现性别比为1:1。使用39个形态学桁架变量对男性和女性进行变异系数(CV)分析,观察到变异> 25%。PCA表示最初解释的三个组成部分> 尺寸效应校正后,总形态变化的47%。通过原始验证和交叉验证,男性和女性的DFA分别为76.75%,72.26%和78.64%,74.81%,表明前两个规范变量存在显着差异。DFA确认了印度南部沿海地区三个不同种群的存在。HCA还将人口分为三大类,特别是根据这四类日腹部pleuron字符。第一组包括来自NAG的人群,第二组包括TUT,第三组包括SAK,KAL和COL人群。在形态上,最初的四个腹部胸膜特征被证明可以区分人群。本研究表明基础研究的沙门氏菌,表明AS和BOB种群之间显着的表型异质性。