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利用桁架网络和几何形态测量学研究印度河流中的 (Hamilton,1822)的表型变异。

Phenotypic variation of (Hamilton, 1822) from Indian rivers using truss network and geometric morphometrics.

机构信息

Fish Conservation Division, National Bureau of Fish Genetic Resources, Lucknow, Uttar Pradesh, India.

Department of Fisheries, Bankura, West Bengal, India.

出版信息

PeerJ. 2022 Apr 18;10:e13290. doi: 10.7717/peerj.13290. eCollection 2022.

Abstract

(Hamilton, 1822) is an economically important food fish species occurring throughout Indian rivers, which also has ornamental value. This study focuses on morphological variations in from seven river basins across India namely; Son, Tons, Ken, Brahmaputra, Ganga, Gomti and Gandak. A truss network was constructed by interconnecting nine landmarks to generate 36 morphometric variables extracted from digital images of specimens sampled from the study locations. Transformed truss measurements were subjected to principal component analysis (PCA), canonical discriminant function analysis (CDFA) and discriminant analyses of principal components (DAPC). DAPC function coefficients performed much better in capturing the variation pattern and discrimination between the rivers which was not achieved using CDFA. Eight truss variables were identified with significant and highest loading for truss variables on principal components and coefficients on discriminant function from DAPC contributing to maximum variation between the rivers. Performance graph and functional distribution of identified truss variables clearly indicated distinction between the rivers. Thin plate spline analysis and procrustes shape analysis further showed the variation in morphology between specimens across the rivers. The significant parameters differentiating specimens from different rivers were linked to dorsal fin origin, the base of the pectoral fin and the perpendicular point on the anal fin from the dorsal fin origin. Variation in the hydrodynamics of the rivers studied might be possibly affecting the fin kinematics and consequently leading to adaption seen as phenotypic variation in . The results showcased in the present study shall help in better understanding of intra-specific diversity which is significant for management and conservation of a species.

摘要

(Hamilton,1822 年)是一种在印度河流域广泛分布的具有经济重要性的食用鱼类,同时也具有观赏价值。本研究重点关注来自印度七个流域的 的形态变异,这些流域分别是:孙河、吨河、肯河、雅鲁藏布江、恒河、戈马蒂河和甘达克河。通过连接九个地标,构建了一个桁架网络,从研究地点采集的标本的数字图像中提取了 36 个形态变量。对变换后的桁架测量值进行主成分分析(PCA)、典型判别函数分析(CDFA)和主成分判别分析(DAPC)。DAPC 函数系数在捕捉河流之间的变异模式和区分方面表现得更好,而 CDFA 则无法实现。确定了 8 个桁架变量,这些变量在主成分上的桁架变量和 DAPC 判别函数上的系数具有显著和最高的载荷,对河流之间的最大变异有贡献。鉴定的桁架变量的性能图和功能分布清楚地表明了河流之间的区别。薄板样条分析和普罗克鲁斯形状分析进一步显示了跨河流标本之间的形态变化。区分来自不同河流标本的显著参数与背鳍起源、胸鳍基部和背鳍起源处的肛鳍垂直点有关。研究河流的水动力变化可能会影响鳍的运动学,从而导致适应,表现为 的表型变异。本研究展示的结果将有助于更好地理解种内多样性,这对于物种的管理和保护具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a7d/9022642/17c8d4dd65d2/peerj-10-13290-g001.jpg

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