Evidence map›Paper›PMID 31980835›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2020

High-throughput phenotypic screening of random genomic fragments in transgenic rice identified novel drought tolerance genes.

Toshiyuki Komori, Yuejin Sun, Masakazu Kashihara, Natsuko Uekawa, Norio Kato, Satoru Usami, Noriko Ishikawa, Yukoh Hiei, Kei Kobayashi, Rise Kum and 6 more

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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 99% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

16 authors at 4 institutions in 2 countries.

Toshiyuki KomoriPlant Innovation Center, Japan Tobacco Inc., 700 Higashibara, Iwata, Shizuoka, 438-0802, Japan. toshiyuki.komori@jt.com.ORCID http://orcid.org/0000-0001-8844-720X
Yuejin SunSyngenta Crop Protection LLC, 9 Davis Drive, Research Triangle Park, NC, 27709, USA.
Masakazu KashiharaPlant Innovation Center, Japan Tobacco Inc., 700 Higashibara, Iwata, Shizuoka, 438-0802, Japan.
Natsuko UekawaPlant Innovation Center, Japan Tobacco Inc., 700 Higashibara, Iwata, Shizuoka, 438-0802, Japan.
Norio KatoPlant Innovation Center, Japan Tobacco Inc., 700 Higashibara, Iwata, Shizuoka, 438-0802, Japan.
Satoru UsamiPlant Innovation Center, Japan Tobacco Inc., 700 Higashibara, Iwata, Shizuoka, 438-0802, Japan.
Noriko IshikawaPlant Innovation Center, Japan Tobacco Inc., 700 Higashibara, Iwata, Shizuoka, 438-0802, Japan.
Yukoh HieiPlant Innovation Center, Japan Tobacco Inc., 700 Higashibara, Iwata, Shizuoka, 438-0802, Japan.
Kei KobayashiPlant Innovation Center, Japan Tobacco Inc., 700 Higashibara, Iwata, Shizuoka, 438-0802, Japan.
Rise KumPlant Innovation Center, Japan Tobacco Inc., 700 Higashibara, Iwata, Shizuoka, 438-0802, Japan.
Esteban BortiriSyngenta Crop Protection LLC, 9 Davis Drive, Research Triangle Park, NC, 27709, USA.
Kimberly WhiteSyngenta Crop Protection LLC, 9 Davis Drive, Research Triangle Park, NC, 27709, USA.
Paul OellerSyngenta Crop Protection LLC, 9 Davis Drive, Research Triangle Park, NC, 27709, USA.
Naoki TakemoriPlant Innovation Center, Japan Tobacco Inc., 700 Higashibara, Iwata, Shizuoka, 438-0802, Japan.
Nicholas J BateSyngenta Crop Protection LLC, 9 Davis Drive, Research Triangle Park, NC, 27709, USA.
Toshihiko KomariPlant Innovation Center, Japan Tobacco Inc., 700 Higashibara, Iwata, Shizuoka, 438-0802, Japan.
Japan Tobacco (Japan) · JPSyngenta (United States) · USJapan Tobacco (United States) · USResearch Triangle Park Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageNovel drought tolerance genes were identified by screening thousands of random genomic fragments from grass species in transgenic rice. Identification of agronomically important genes is a critical step for crop breeding through biotechnology. Multiple approaches have been employed to identify new gene targets, including comprehensive screening platforms for gene discovery such as the over-expression of libraries of cDNA clones. In this study, random genomic fragments from plants were introduced into rice and screened for drought tolerance in a high-throughput manner with the aim of finding novel genetic elements not exclusively limited to coding sequences. To illustrate the power of this approach, genomic libraries were constructed from four grass species, and screening a total of 50,825 transgenic rice lines for drought tolerance resulted in the identification of 12 reproducibly efficacious fragments. Of the twelve, two were from the mitochondrial genome of signal grass and ten were from the nuclear genome of buffalo grass. Subsequent sequencing and analyses revealed that the ten fragments from buffalo grass carried a similar genetic element with no significant homology to any previously characterized gene. The deduced protein sequence was rich in acidic amino acid residues in the C-terminal half, and two of the glutamic acid residues in the C-terminal half were shown to play an important role in drought tolerance. The results demonstrate that an open-ended screening approach using random genomic fragments could discover trait genes distinct from gene discovery based on known pathways or biased toward coding sequence over-expression.

Indexed as

DroughtsGenes, PlantHigh-Throughput Screening AssaysAdaptation, PhysiologicalAmino Acid SequenceGene LibraryOryzaPeptidesPhenotypePlants, Genetically ModifiedReproducibility of ResultsTranscription, GeneticPeptides

Identifiers

PMID31980835
OpenAlexW3002856186

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.