Published May 23, 2018 | Version v1
Journal article Open

Hydrogeomorphic factors drive differences in otolith morphology in fish from the Nu-Salween River

  • 1. Institute of International Rivers and Eco⁃security, Yunnan University

Description

Understanding the relationship between intraspecific phenotypic variation and habitat is fundamentally important to ecology and evolution. However, it is largely unknown whether the environment drives the morphological variation in riverine fish otoliths, which are potential phenotypic markers. In this study, we investigated morphological variations in the otoliths of an endemic Chinese fish (Schizothorax nukiangensis Tsao) collected from seven sites with varying environmental gradients along the NuSalween River. We compared morphological characters of Snukiangensis otoliths among sampling sites and identified environmental sources of otolith morphological variation using multivariate regression trees and multiple factor analysis. Results showed that Snukiangensis otoliths collected from different habitats were significantly different in morphology, mainly at the rostrum, excisura and posterior rim. Variations in otolith morphology (specifically the increase in otolith length) were predominantly governed by average river gradient; this might be a functional response to hydrogeomorphic conditions. Other environmental gradients (i.e., altitude, latitude and average annual temperature) played a minor role in otolith shape. This study highlighted the role of environmental factors in determining the otolith shape in riverine fish; thus, species and population discriminations based on otolith morphology should consider intraspecific variability.

 

R codes and data for this article

https://github.com/Otoliths/Otolith-shape

  1. Reconstruction of the mean otolith shape in Schizothorax nukiangensis, based on Wavelet transformation, differentiated by sampling site.

  2. Regression analysis of 493 otolith shapes from Schizothorax nukiangensis in the Nu-Salween River

  3. Two-dimensional plot of the multiple factor analysis performed for our whole dataset, including multi-scale environmental indices and otolith morphological characters

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