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Reproducible genomic DNA preparation from diverse crop species for molecular genetic applications

Overview of attention for article published in Plant Methods, December 2017
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Title
Reproducible genomic DNA preparation from diverse crop species for molecular genetic applications
Published in
Plant Methods, December 2017
DOI 10.1186/s13007-017-0255-6
Pubmed ID
Authors

Kelvin T. Chiong, Mona B. Damaj, Carmen S. Padilla, Carlos A. Avila, Shankar R. Pant, Kranthi K. Mandadi, Ninfa R. Ramos, Denise V. Carvalho, T. Erik Mirkov

Abstract

Several high-throughput molecular genetic analyses rely on high-quality genomic DNA. Copurification of other molecules can negatively impact the functionality of plant DNA preparations employed in these procedures. Isolating DNA from agronomically important crops, such as sugarcane, rice, citrus, potato and tomato is a challenge due to the presence of high fiber, polysaccharides, or secondary metabolites. We present a simplified, rapid and reproducible SDS-based method that provides high-quality and -quantity of DNA from small amounts of leaf tissue, as required by the emerging biotechnology and molecular genetic applications. We developed the TENS-CO method as a simplified SDS-based isolation procedure with sequential steps of purification to remove polysaccharides and polyphenols using 2-mercaptoethanol and potassium acetate, chloroform partitioning, and sodium acetate/ethanol precipitation to yield high-quantity and -quality DNA consistently from small amounts of tissue (0.15 g) for different plant species. The method is simplified and rapid in terms of requiring minimal manipulation, smaller extraction volume, reduced homogenization time (20 s) and DNA precipitation (one precipitation for 1 h). The method has been demonstrated to accelerate screening of large amounts of plant tissues from species that are rich in polysaccharides and secondary metabolites for Southern blot analysis of reporter gene overexpressing lines, pathogen detection by quantitative PCR, and genotyping of disease-resistant plants using marker-assisted selection. To facilitate molecular genetic studies in major agronomical crops, we have developed the TENS-CO method as a simple, rapid, reproducible and scalable protocol enabling efficient and robust isolation of high-quality and -quantity DNA from small amounts of tissue from sugarcane, rice, citrus, potato, and tomato, thereby reducing significantly the time and resources used for DNA isolation.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 26%
Student > Master 7 15%
Student > Bachelor 6 13%
Student > Ph. D. Student 4 9%
Professor > Associate Professor 3 7%
Other 6 13%
Unknown 8 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 46%
Biochemistry, Genetics and Molecular Biology 11 24%
Nursing and Health Professions 2 4%
Medicine and Dentistry 2 4%
Immunology and Microbiology 1 2%
Other 1 2%
Unknown 8 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 August 2020.
All research outputs
#15,679,186
of 23,299,593 outputs
Outputs from Plant Methods
#845
of 1,102 outputs
Outputs of similar age
#267,269
of 439,734 outputs
Outputs of similar age from Plant Methods
#28
of 39 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,102 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 439,734 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.