2016
DOI: 10.1128/aem.00560-16
|View full text |Cite
|
Sign up to set email alerts
|

Environmental Sequencing Provides Reasonable Estimates of the Relative Abundance of Specific Picoeukaryotes

Abstract: High-throughput sequencing (HTS) is revolutionizing environmental surveys of microbial diversity in the three domains of life by providing detailed information on which taxa are present in microbial assemblages. However, it is still unclear how the relative abundance of specific taxa gathered by HTS correlates with cell abundances. Here, we quantified the relative cell abundance of 6 picoeukaryotic taxa in 13 planktonic samples from 6 European coastal sites using epifluorescence microscopy on tyramide signal a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
87
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 111 publications
(89 citation statements)
references
References 62 publications
2
87
0
Order By: Relevance
“…The differences in the proportion of richness and abundance between both regions in some eukaryotic groups are likely to be due to primer bias effect. In addition to that, indels or variation among sequences can also change the properties of primers favoring the amplification of some groups above others, explaining the unequal recovery of diversity and novelty in eukaryotes (Pawlowski et al, 2011;Giner et al, 2016).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The differences in the proportion of richness and abundance between both regions in some eukaryotic groups are likely to be due to primer bias effect. In addition to that, indels or variation among sequences can also change the properties of primers favoring the amplification of some groups above others, explaining the unequal recovery of diversity and novelty in eukaryotes (Pawlowski et al, 2011;Giner et al, 2016).…”
Section: Discussionmentioning
confidence: 99%
“…These clean reads were then clustered into Operational Taxonomic Units (OTUs) using UPARSE with a 97% similarity threshold, resulting in a total of 4,598 OTUs for V4 and 4,176 OTUs for V8-9 region. Even though there is no clear consensus on the optimal threshold to use in clustering algorithms Brown et al, 2015), we decided to use 97% because it has been widely used (Stoeck et al, 2010;Kammerlander et al, 2015;Massana et al, 2015;Giner et al, 2016;Kim et al, 2016). We are aware that this threshold might group species or even genus into the same OTU.…”
Section: Clustering and Taxonomical Annotationmentioning
confidence: 99%
“…The ocean microbiome, an assemblage of bacteria, archaea, microeukaryotes, and viruses (Stulberg et al, 2016), is the heart of marine food webs. Although the need for food web assessments in marine ecosystem status is recognized (Zampoukas et al, 2014;Caruso et al, 2016), microbes are not readily amenable to visual identification (Bowers et al, 2016;Giner et al, 2016), hindering inclusion as a BQE in monitoring frameworks. Instead, marine monitoring programs are often restricted to gross measurements such as chlorophyll to capture this critical segment of the ecosystem.…”
Section: Current Limitations In Marine Ecological Quality Assessmentmentioning
confidence: 99%
“…For example, amplification of a nuclear 16S rRNA gene segment is typical for taxonomic classification of marine prokaryotic assemblages (Klindworth et al, 2013). Amplification of 18S rRNA regions is used for a variety of communities, including phytoplankton and other microeukaryotes (Dunthorn et al, 2012;Hugerth et al, 2014;Johnson and Martiny, 2015;del Campo et al, 2016;Giner et al, 2016), and amplification of the 23S rRNA gene is used to classify organisms such as zooplankton (Hirai et al, 2015a;Bucklin et al, 2016). Amplification of mitochondrial DNA is used to identify an assortment of organisms, with cytochrome oxidase I (COI), cytochrome b, and mitochondrial 16S as examples of popularly employed target regions (Dauble et al, 2012;Pawlowski et al, 2014;Cowart et al, 2015;Guo et al, 2015;Harada et al, 2015;Johnson and Martiny, 2015;Aylagas et al, 2016;Bucklin et al, 2016;Creer et al, 2016;Leray and Knowlton, 2016;Thompson et al, 2016;Trivedi et al, 2016).…”
Section: Dna Sequencing Applied To Marine Monitoring Technical Contextmentioning
confidence: 99%
See 1 more Smart Citation