Evidence map›Paper›PMID 29870035›Full record

ArticleScientific data2018

Global gene expression profiling for fruit organs and pathogen infections in the pepper, Capsicum annuum L.

Myung-Shin Kim, Seungill Kim, Jongbum Jeon, Ki-Tae Kim, Hyun-Ah Lee, Hye-Young Lee, Jieun Park, Eunyoung Seo, Saet-Byul Kim, Seon-In Yeom and 2 more

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
23.0field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 60 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

12 authors at 3 institutions in 1 country.

Myung-Shin KimInterdisciplinary Program in Agricultural Genomics, Seoul National University, Seoul 08826, Korea.
Seungill KimDepartment of Plant Science, Plant Genomics and Breeding Institute, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.
Jongbum JeonInterdisciplinary Program in Agricultural Genomics, Seoul National University, Seoul 08826, Korea.
Ki-Tae KimDepartment of Agricultural Biotechnology, Seoul National University, Seoul 08826, Korea.
Hyun-Ah LeeDivision of Eco-Friendly Horticulture, Yonam College, Cheonan 31005, Korea.
Hye-Young LeeDepartment of Plant Science, Plant Genomics and Breeding Institute, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.
Jieun ParkInterdisciplinary Program in Agricultural Genomics, Seoul National University, Seoul 08826, Korea.
Eunyoung SeoDepartment of Plant Science, Plant Genomics and Breeding Institute, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.
Saet-Byul KimDepartment of Plant Science, Plant Genomics and Breeding Institute, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.
Seon-In YeomDepartment of Agricultural Plant Science, Division of Applied Life Science (BK21 Plus), Institute of Agriculture & Life Science, Gyeongsang National University, Jinju 52828, Korea.
Yong-Hwan LeeInterdisciplinary Program in Agricultural Genomics, Seoul National University, Seoul 08826, Korea.
Doil ChoiInterdisciplinary Program in Agricultural Genomics, Seoul National University, Seoul 08826, Korea.
Seoul National University · KRCheonan Yonam College · KRGyeongsang National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hot pepper (Capsicum annuum) is one of the most consumed vegetable crops in the world and useful to human as it has many nutritional and medicinal values. Genomic resources of pepper are publically available since the pepper genomes have been completed and massive data such as transcriptomes have been deposited. Nevertheless, global transcriptome profiling is needed to identify molecular mechanisms related to agronomic traits in pepper, but limited analyses are published. Here, we report the comprehensive analysis of pepper transcriptomes during fruit ripening and pathogen infection. For the ripening, transcriptome data were obtained from placenta and pericarp at seven developmental stages. To reveal global transcriptomic landscapes during infection, leaves at six time points post-infection by one of three pathogens (Phytophthora infestans, Pepper mottle virus, and Tobacco mosaic virus P0 strain) were profiled. The massive parallel transcriptome profiling in this study will serve as a valuable resource for detection of molecular networks of fruit development and disease resistance in Capsicum annuum.

Indexed as

Gene Expression ProfilingTranscriptomeCapsicumPhytophthora infestansPlant DiseasesPotyvirusTobacco Mosaic Virus

Identifiers

PMID29870035
PMCPMC5987667
OpenAlexW2807093057

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.