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
优秀的人发布了新的文献求助10
1秒前
闪电完成签到 ,获得积分10
1秒前
三四郎应助ati采纳,获得10
2秒前
3秒前
科研通AI6.4应助姜糊采纳,获得10
3秒前
隐形曼青应助很好采纳,获得10
3秒前
3秒前
lrb完成签到,获得积分20
4秒前
miko发布了新的文献求助10
4秒前
CipherSage应助JL采纳,获得10
5秒前
科研通AI2S应助甜栗栗子采纳,获得10
6秒前
VV发布了新的文献求助10
7秒前
llll完成签到,获得积分10
7秒前
希望天下0贩的0应助你猜采纳,获得10
8秒前
NexusExplorer应助失眠的鹏煊采纳,获得10
8秒前
Ivan24发布了新的文献求助10
9秒前
9秒前
陈峰琦发布了新的文献求助10
10秒前
rowanxiao完成签到,获得积分10
10秒前
小程努力向上关注了科研通微信公众号
10秒前
神勇芷巧发布了新的文献求助10
10秒前
11秒前
科研狗应助ibuprofen采纳,获得30
13秒前
lrb发布了新的文献求助10
13秒前
纳斯达克发布了新的文献求助10
14秒前
光亮萤完成签到,获得积分10
14秒前
高兴的煎饼完成签到,获得积分10
14秒前
15秒前
AI发布了新的文献求助10
15秒前
Jasper应助eulota采纳,获得30
15秒前
15秒前
沐沐完成签到,获得积分20
16秒前
16秒前
ding应助闪闪的晓丝采纳,获得10
16秒前
柔弱的如冬完成签到,获得积分10
16秒前
单纯菠萝完成签到,获得积分10
17秒前
lxy123456完成签到,获得积分10
18秒前
Hua发布了新的文献求助10
19秒前
存在发布了新的文献求助10
20秒前
共享精神应助嘿嘿哈采纳,获得10
20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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
17α-Methyltestosterone Immersion Induces Sex Reversal in Female Mandarin Fish (Siniperca Chuatsi) 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6364898
求助须知:如何正确求助?哪些是违规求助? 8178864
关于积分的说明 17239318
捐赠科研通 5419951
什么是DOI,文献DOI怎么找? 2867816
邀请新用户注册赠送积分活动 1844885
关于科研通互助平台的介绍 1692343