Insights into biodiversity sampling strategies for freshwater microinvertebrate faunas through bioblitz campaigns and DNA barcoding.
Insights into biodiversity sampling strategies for freshwater microinvertebrate faunas through bioblitz campaigns and DNA barcoding.
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DOI：
10.1186/1472-6785-13-13
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发表时间：
2013-04-04
期刊：
影响因子：
--
通讯作者：
Adamowicz SJ
中科院分区：
文献类型：
--
作者：
Laforest BJ;Winegardner AK;Zaheer OA;Jeffery NW;Boyle EE;Adamowicz SJ
生物多样性调查长期以来依赖传统的分类方法来告知采样方案并确定何时获得给定感兴趣物种库的代表性样本。关于如何设计适当的采样工作以准确估计总生物多样性的问题仍然存在。在这里，我们考虑加拿大马尼托巴省丘吉尔地区淡水介形类（甲壳类介形类）的生物多样性。通过对观察到的物种丰富度和互补性、积累曲线和丰富度估计量的分析，我们对五种生物闪电式收集策略进行了事后分析，这些策略在总持续时间、地点数量、对异质栖息地的协议灵活性、分析标本排序和收集的主要目的方面有所不同。我们使用 DNA 条形码将样本分组为分子操作分类单元以进行比较。通过遗传差异确定了 48 个临时物种，高于丘吉尔地区文献中先前已知和记录的 30 个物种。我们发现五种策略之间的采样效率存在差异，用于分子分析的标本的自由排序、方案灵活性（特别是注重覆盖不同的微生境）以及针对特定分类单元的收集对获得更准确的物种丰富度估计有很大影响。我们的研究结果对未来生物多样性调查和公民科学收集项目的成功设计具有影响，这些项目越来越受欢迎，并且已被证明可以为各种类群提供可靠的结果，尽管很大程度上依赖于未经培训的收集者。我们建议，非专家有意选择不同的微生境可以提高生物多样性调查的效率；通过进行两轮分子分析，第二轮处理的样本数量由第一轮的单例患病率得知；并让子团队（即使所有非专家）专注于选定的分类群。我们的研究还为亚北极淡水介形类的多样性提供了新的见解，并为丘吉尔更广泛的“条形码生物群”运动做出了贡献。最后，我们对通过 DNA 条形码进行群落生态分析和生物多样性调查的相关影响和未来研究方向进行了评论，我们在此展示了 DNA 条形码是一种有效的技术，能够在所研究的类群中快速量化生物多样性。
Biodiversity surveys have long depended on traditional methods of taxonomy to inform sampling protocols and to determine when a representative sample of a given species pool of interest has been obtained. Questions remain as to how to design appropriate sampling efforts to accurately estimate total biodiversity. Here we consider the biodiversity of freshwater ostracods (crustacean class Ostracoda) from the region of Churchill, Manitoba, Canada. Through an analysis of observed species richness and complementarity, accumulation curves, and richness estimators, we conduct an a posteriori analysis of five bioblitz-style collection strategies that differed in terms of total duration, number of sites, protocol flexibility to heterogeneous habitats, sorting of specimens for analysis, and primary purpose of collection. We used DNA barcoding to group specimens into molecular operational taxonomic units for comparison. Forty-eight provisional species were identified through genetic divergences, up from the 30 species previously known and documented in literature from the Churchill region. We found differential sampling efficiency among the five strategies, with liberal sorting of specimens for molecular analysis, protocol flexibility (and particularly a focus on covering diverse microhabitats), and a taxon-specific focus to collection having strong influences on garnering more accurate species richness estimates. Our findings have implications for the successful design of future biodiversity surveys and citizen-science collection projects, which are becoming increasingly popular and have been shown to produce reliable results for a variety of taxa despite relying on largely untrained collectors. We propose that efficiency of biodiversity surveys can be increased by non-experts deliberately selecting diverse microhabitats; by conducting two rounds of molecular analysis, with the numbers of samples processed during round two informed by the singleton prevalence during round one; and by having sub-teams (even if all non-experts) focus on select taxa. Our study also provides new insights into subarctic diversity of freshwater Ostracoda and contributes to the broader “Barcoding Biotas” campaign at Churchill. Finally, we comment on the associated implications and future research directions for community ecology analyses and biodiversity surveys through DNA barcoding, which we show here to be an efficient technique enabling rapid biodiversity quantification in understudied taxa.
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影响因子：
3.7
作者：
Hajibabaei M;Shokralla S;Zhou X;Singer GA;Baird DJ
通讯作者：
Baird DJ
DOI：
10.1098/rsbl.2003.0025
发表时间：
2003-08-07
影响因子：
4.7
作者：
Hebert, PDN;Ratnasingham, S;deWaard, JR
通讯作者：
deWaard, JR
DOI：
10.1111/j.1471-8286.2006.01428.x
发表时间：
2006-12-01
期刊：
MOLECULAR ECOLOGY NOTES
影响因子：
--
作者：
Ivanova, Natalia V.;Dewaard, Jeremy R.;Hebert, Paul D. N.
通讯作者：
Hebert, Paul D. N.
影响因子：
2.1
作者：
Degerlund, Maria;Huseby, Siv;Landfald, Bjarne
通讯作者：
Landfald, Bjarne
影响因子：
4.1
作者：
Bode, S. N. S.;Adolfsson, S.;Martens, K.
通讯作者：
Martens, K.