Effect of metabolic rate on time-lag changes in otolith microchemistry: an experimental approach using Salmo trutta

耳石 萨尔莫 微化学 生物 生态学 个体发育 人口 代谢率 环境科学 渔业 化学 人口学 色谱法 社会学 内分泌学 遗传学
作者
Matthias Vignon,Hélène Tabouret,Jean-Christophe Aymes,Christophe Pécheyran,Jacques Rives,Pascale Coste-Heinrich,Emmanuel Huchet,Gilles Bareille
出处
期刊:The Journal of Experimental Biology [The Company of Biologists]
卷期号:226 (13) 被引量:1
标识
DOI:10.1242/jeb.245265
摘要

ABSTRACT Ecologists have long been interested in relevant techniques to track the field movement patterns of fish. The elemental composition of otoliths represents a permanent record of the growing habitats experienced by a fish throughout its lifetime and is increasingly used in the literature. The lack of a predictive and mechanistic understanding of the individual kinematics underlying ion incorporation/depletion limits our fine-scale temporal interpretation of the chemical signal recorded in the otolith. In particular, the rate at which elements are incorporated into otoliths is hypothesized to depend on fish physiology. However, to date, time lags have mostly been quantified on a population scale. Here, we report results from controlled experiments (translocation and artificially enriched environment) on individual trace element incorporation/depletion rates in Salmo trutta (Salmonidae). We reported significant lags (i.e. weeks to months) between changes in water chemistry and the subsequent change in otolith composition and highlighted substantial inter-individual variations in the timing and magnitude of Sr/Ca and Ba/Ca responses. These differences are partially linked to the energetic status (i.e. metabolic rate) of the individuals. It therefore appears that individuals with the highest metabolic rate are more likely to record detailed (i.e. brief) temporal changes than individuals having lower metabolic values. The time taken for environmental changes to be reflected in the growing otolith thus can no longer be assumed to remain a constant within populations. Results from the current study are a step towards the fine reconstruction of environmental histories in dynamic environments.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
高高从霜完成签到 ,获得积分10
2秒前
清浅溪完成签到 ,获得积分10
3秒前
阿拉完成签到,获得积分10
6秒前
洁净的酬海完成签到 ,获得积分10
8秒前
打打应助青思采纳,获得10
8秒前
腼腆的剑封完成签到,获得积分10
13秒前
miles完成签到 ,获得积分10
13秒前
文献狗完成签到,获得积分10
14秒前
18秒前
aajhajkahna应助腼腆的剑封采纳,获得10
19秒前
超越俗尘完成签到,获得积分10
23秒前
钟原完成签到 ,获得积分10
24秒前
桃酥完成签到 ,获得积分10
24秒前
冷傲迎梅完成签到 ,获得积分10
25秒前
QT完成签到,获得积分10
26秒前
Horizon完成签到,获得积分10
26秒前
27秒前
Windsyang完成签到,获得积分10
28秒前
ffchen111完成签到 ,获得积分0
30秒前
青思发布了新的文献求助10
31秒前
ok123完成签到 ,获得积分0
31秒前
yyf完成签到 ,获得积分10
34秒前
凶狠的白桃完成签到 ,获得积分10
34秒前
wsice111完成签到 ,获得积分10
34秒前
S_CC完成签到 ,获得积分10
40秒前
41秒前
科研小白张完成签到 ,获得积分10
43秒前
jaytotti完成签到,获得积分10
44秒前
wsbear111完成签到 ,获得积分10
49秒前
林易完成签到 ,获得积分10
50秒前
ZoeyZoey完成签到 ,获得积分10
50秒前
清脆的白凡完成签到,获得积分10
50秒前
51秒前
HHW完成签到,获得积分10
54秒前
satchzhao完成签到,获得积分10
54秒前
身体健康完成签到 ,获得积分10
55秒前
xiaobai发布了新的文献求助10
55秒前
LV完成签到 ,获得积分10
56秒前
57秒前
王不凡完成签到 ,获得积分10
58秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
The Oxford Handbook of Digital Classical Studies 550
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7619966
求助须知:如何正确求助?哪些是违规求助? 9195309
关于积分的说明 19706874
捐赠科研通 7191413
什么是DOI,文献DOI怎么找? 3272433
关于科研通互助平台的介绍 2435079
邀请新用户注册赠送积分活动 2267654