↓ Skip to main content

Construction of a high-density mutant library in soybean and development of a mutant retrieval method using amplicon sequencing

Overview of attention for article published in BMC Genomics, November 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

policy
1 policy source
twitter
4 X users
patent
3 patents

Citations

dimensions_citation
84 Dimensions

Readers on

mendeley
81 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Construction of a high-density mutant library in soybean and development of a mutant retrieval method using amplicon sequencing
Published in
BMC Genomics, November 2015
DOI 10.1186/s12864-015-2079-y
Pubmed ID
Authors

Mai Tsuda, Akito Kaga, Toyoaki Anai, Takehiko Shimizu, Takashi Sayama, Kyoko Takagi, Kayo Machita, Satoshi Watanabe, Minoru Nishimura, Naohiro Yamada, Satomi Mori, Harumi Sasaki, Hiroyuki Kanamori, Yuichi Katayose, Masao Ishimoto

Abstract

Functions of most genes predicted in the soybean genome have not been clarified. A mutant library with a high mutation density would be helpful for functional studies and for identification of novel alleles useful for breeding. Development of cost-effective and high-throughput protocols using next generation sequencing (NGS) technologies is expected to simplify the retrieval of mutants with mutations in genes of interest. To increase the mutation density, seeds of the Japanese elite soybean cultivar Enrei were treated with the chemical mutagen ethyl methanesulfonate (EMS); M2 seeds produced by M1 plants were treated with EMS once again. The resultant library, which consisted of DNA and seeds from 1536 plants, revealed large morphological and physiological variations. Based on whole-genome re-sequencing analysis of 12 mutant lines, the average number of base changes was 12,796 per line. On average, 691 and 35 per line were missense and nonsense mutations, respectively. Two screening strategies for high resolution melting (HRM) analysis and indexed amplicon sequencing were designed to retrieve the mutants; the mutations were confirmed by Sanger sequencing as the final step. In comparison with HRM screening of several genes, indexed amplicon sequencing allows one to scan a longer sequence range and skip screening steps and to know the sequence information of mutation because it uses systematic DNA pooling and the index of NGS reads, which simplifies the discovery of mutants with amino acid substitutions. A soybean mutant library with a high mutation density was developed. A high mutation density (1 mutation/74 kb) was achieved by repeating the EMS treatment. The mutation density of our library is sufficiently high to obtain a plant in which a gene is nonsense mutated. Thus, our mutant library and the indexed amplicon sequencing will be useful for functional studies of soybean genes and have a potential to yield useful mutant alleles for soybean breeding.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Netherlands 1 1%
Unknown 79 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 22%
Student > Master 8 10%
Student > Doctoral Student 7 9%
Student > Ph. D. Student 4 5%
Other 4 5%
Other 17 21%
Unknown 23 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 53%
Biochemistry, Genetics and Molecular Biology 4 5%
Engineering 3 4%
Unspecified 2 2%
Immunology and Microbiology 1 1%
Other 1 1%
Unknown 27 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 28 October 2021.
All research outputs
#2,822,685
of 22,834,308 outputs
Outputs from BMC Genomics
#1,030
of 10,655 outputs
Outputs of similar age
#49,007
of 387,189 outputs
Outputs of similar age from BMC Genomics
#31
of 388 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,655 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 90% of its peers.
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 387,189 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 388 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.