Fatty acid composition as biomarkers of freshwater microalgae: analysis of 37 strains of microalgae in 22 genera and in seven classes

生物 绿藻科 藻类 作文(语言) 生态学 绿藻门 语言学 哲学
作者
Sami J. Taipale,Ursula Strandberg,Elina Peltomaa,AWE Galloway,Ann Ojala,Michael T. Brett
出处
期刊:Aquatic Microbial Ecology [Inter-Research Science Center]
卷期号:71 (2): 165-178 被引量:270
标识
DOI:10.3354/ame01671
摘要

AME Aquatic Microbial Ecology Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials AME 71:165-178 (2013) - DOI: https://doi.org/10.3354/ame01671 Fatty acid composition as biomarkers of freshwater microalgae: analysis of 37 strains of microalgae in 22 genera and in seven classes Sami Taipale1,*, Ursula Strandberg2, Elina Peltomaa3, Aaron W. E. Galloway4, Anne Ojala3, Michael T. Brett5 1Department of Biological and Environmental Science, University of Jyväskylä, PL 35 (YA), 40014 Jyväskylä, Finland 2Department of Biology, University of Eastern Finland, Box 111, 80101 Joensuu, Finland 3Department of Environmental Sciences, University of Helsinki, Niemenkatu 73, 15140 Lahti, Finland 4Friday Harbor Laboratories, School of Aquatic and Fishery Sciences, University of Washington, 620 University Rd, Friday Harbor, Washington 98250, USA 5Department of Civil and Environmental Engineering, Box 352700, University of Washington, Seattle, Washington 98195-27000, USA *Email: sami.taipale@bytl.jyu.fi ABSTRACT: The fatty acid (FA) composition of algae is an important determinant of their food quality for consumers, and FAs can also be used as biomarkers for biochemical and energetic pathways in food webs. FA analyses of 7 freshwater algal classes and 37 strains showed clear similarity within classes and strong differences amongst classes. Class was a dominant factor (66.4%) explaining variation in FA signatures of microalgae. The 7 algal classes comprised 4 separate groups according to their FA profiles: (1) Chlorophyceae and Trebouxiophyceae, (2) Bacillariophyceae, (3) Cryptophyceae, Chrysophyceae, and Raphidophyceae, and (4) Euglenophyceae. Each group had a characteristic FA composition, although the proportional abundance of individual FAs also differed between species and with environmental conditions. FAs found to be particularly representative for each group (i.e. diagnostic biomarkers) were as follows: 16:4ω3 and 16:3ω3 for Chlorophyceae and Trebouxiophyceae; 16:2ω7, 16:2ω4, 16:3ω4, 16:4ω1, and 18:4ω4 for Bacillariophyceae; 22:5ω6 and 18:4ω3 for Cryptophyceae and Chrysophyceae (Synurales), 16:3ω1 for Chrysophyceae (Ochromonadales), 16:2ω4, 16:3ω4, 16:3ω1, and 20:3ω3 for Raphidophyceae; and 15:4ω2, 20:4ω3, 20:2ω6, 20:3ω6, and 22:4ω6 for Euglenophyceae. FAs thus offer a powerful tool to track different consumer diets in a lacustrine food web. Based on the 20:5ω3 (eicosapentaenoic acid) and 22:6ω3 (docosahexaenoic acid) content among the investigated freshwater algal classes, Chlorophyceae, Trebouxiophyceae, and Chrysophyceae are of intermediate food quality for zooplankton, and Cryptophyceae, Bacillariophyceae, Euglenophyceae, and Raphidophyceae should be excellent resources for zooplankton. KEY WORDS: Lipids · Diet quality · Omega-3 fatty acids · Lacustrine food web · Green algae · Diatoms · Cryptomonads Full text in pdf format PreviousNextCite this article as: Taipale S, Strandberg U, Peltomaa E, Galloway AWE, Ojala A, Brett MT (2013) Fatty acid composition as biomarkers of freshwater microalgae: analysis of 37 strains of microalgae in 22 genera and in seven classes. Aquat Microb Ecol 71:165-178. https://doi.org/10.3354/ame01671 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in AME Vol. 71, No. 2. Online publication date: December 16, 2013 Print ISSN: 0948-3055; Online ISSN: 1616-1564 Copyright © 2013 Inter-Research.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Bihhh发布了新的文献求助10
刚刚
fifteen完成签到,获得积分10
刚刚
刚刚
小祝完成签到,获得积分10
刚刚
SL发布了新的文献求助10
刚刚
1秒前
蒋杰应助zz采纳,获得10
1秒前
1秒前
1秒前
foreverchoi发布了新的文献求助10
2秒前
2秒前
李健应助倪妮采纳,获得10
2秒前
烟花应助yan采纳,获得20
2秒前
清新的雁凡完成签到,获得积分10
3秒前
3秒前
sajnk发布了新的文献求助10
3秒前
wxyshare应助嗯嗯采纳,获得10
4秒前
科目三应助俊逸自中采纳,获得10
4秒前
summer完成签到,获得积分10
4秒前
4秒前
5秒前
5秒前
6秒前
芹澤蕾拉完成签到,获得积分10
6秒前
June-ho发布了新的文献求助20
7秒前
7秒前
霜序完成签到,获得积分10
8秒前
上官若男应助悦耳的黑米采纳,获得10
8秒前
8秒前
9秒前
9秒前
Kirin完成签到,获得积分10
9秒前
9秒前
闪闪未来发布了新的文献求助10
9秒前
Echo完成签到,获得积分10
10秒前
量子星尘发布了新的文献求助10
10秒前
11秒前
SciGPT应助Kyle采纳,获得10
12秒前
流星噬月发布了新的文献求助10
12秒前
12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
Iron toxicity and hematopoietic cell transplantation: do we understand why iron affects transplant outcome? 2000
List of 1,091 Public Pension Profiles by Region 1021
Teacher Wellbeing: Noticing, Nurturing, Sustaining, and Flourishing in Schools 1000
Efficacy of sirolimus in Klippel-Trenaunay syndrome 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5480141
求助须知:如何正确求助?哪些是违规求助? 4581340
关于积分的说明 14380127
捐赠科研通 4509924
什么是DOI,文献DOI怎么找? 2471597
邀请新用户注册赠送积分活动 1457999
关于科研通互助平台的介绍 1431756