Evidence map›Paper›PMID 32185123›Full record

ArticleApplications in plant sciences2020

Extraction of high-quality, high-molecular-weight DNA depends heavily on cell homogenization methods in green microalgae.

Jordan R Stark, Zoe G Cardon, Elena L Peredo

Open access · goldAbstract read
In one paragraph

Article in Applications in plant sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 55% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Jordan R StarkEcosystems Center Marine Biological Laboratory 7 MBL Street Woods Hole Massachusetts 02543 USA.ORCID https://orcid.org/0000-0001-5429-8082
Zoe G CardonEcosystems Center Marine Biological Laboratory 7 MBL Street Woods Hole Massachusetts 02543 USA.ORCID https://orcid.org/0000-0001-8725-7842
Elena L PeredoEcosystems Center Marine Biological Laboratory 7 MBL Street Woods Hole Massachusetts 02543 USA.ORCID https://orcid.org/0000-0001-9691-4189
Marine Biological Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

premiseNew sequencing technologies have facilitated genomic studies in green microalgae; however, extracting high-quality DNA is often a bottleneck for long-read sequencing. METHODS AND

resultsHere, we present a low-cost, highly transferrable method for the extraction of high-molecular-weight (HMW), high-purity DNA from microalgae. We first determined the effect of sample preparation on DNA quality using three homogenization methods: manual grinding using a mini-pestle, automatic grinding using a vortex adapter, and grinding in liquid nitrogen. We demonstrated the versatility of grinding in liquid nitrogen followed by a modified cetyltrimethylammonium bromide (CTAB) extraction across a suite of aquatic- and desert-evolved algal taxa. Finally, we tested the protocol's robustness by doubling the input material to increase yield, producing per sample up to 20 μg of high-purity DNA longer than 21.2 kbp.

conclusionsAll homogenization methods produced DNA within acceptable parameters for purity, but only liquid nitrogen grinding resulted in HMW DNA. The optimization of cell lysis while minimizing DNA shearing is therefore crucial for the isolation of DNA for long-read genomic sequencing because template DNA length strongly affects read output and length.

Indexed as

DNA integritylong‐read sequencingmodified CTAB extractionScenedesmaceae

Identifiers

PMID32185123
PMCPMC7073325
OpenAlexW3010888837

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.