Evidence map›Paper›PMID 32265447›Full record

ArticleScientific data2020

A platinum standard pan-genome resource that represents the population structure of Asian rice.

Yong Zhou, Dmytro Chebotarov, Dave Kudrna, Victor Llaca, Seunghee Lee, Shanmugam Rajasekar, Nahed Mohammed, Noor Al-Bader, Chandler Sobel-Sorenson, Praveena Parakkal and 11 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

83 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Characterization ofSynthetic and systems biotechnology · 2027
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23 more citing papers are in PubMed but not listed here.

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

21 authors.

Yong Zhou *Center for Desert Agriculture, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.ORCID http://orcid.org/0000-0002-1662-9589
Dmytro Chebotarov *International Rice Research Institute (IRRI), Strategic Innovation, Los Baños, 4031, Laguna, Philippines.ORCID http://orcid.org/0000-0003-1351-9453
Dave KudrnaArizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, Arizona, 85721, USA.ORCID http://orcid.org/0000-0002-3092-3629
Victor LlacaGenomics Technologies, Applied Science and Technology, Corteva AgriscienceTM, Iowa, IA, 50131, USA.ORCID http://orcid.org/0000-0003-4822-2924
Seunghee LeeArizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, Arizona, 85721, USA.
Shanmugam RajasekarArizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, Arizona, 85721, USA.
Nahed MohammedCenter for Desert Agriculture, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.ORCID http://orcid.org/0000-0002-8857-3246
Noor Al-BaderCenter for Desert Agriculture, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.ORCID http://orcid.org/0000-0002-0511-6972
Chandler Sobel-SorensonArizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, Arizona, 85721, USA.
Praveena ParakkalGenomics Technologies, Applied Science and Technology, Corteva AgriscienceTM, Iowa, IA, 50131, USA.
Lady Johanna ArbelaezRice Genetics and Genomics Lab, International Center for Tropical Agriculture (CIAT), Cali, Colombia.
Natalia FrancoRice Genetics and Genomics Lab, International Center for Tropical Agriculture (CIAT), Cali, Colombia.
Nickolai AlexandrovInternational Rice Research Institute (IRRI), Strategic Innovation, Los Baños, 4031, Laguna, Philippines.ORCID http://orcid.org/0000-0003-3381-0918
N Ruaraidh Sackville HamiltonInternational Rice Research Institute (IRRI), Strategic Innovation, Los Baños, 4031, Laguna, Philippines.ORCID http://orcid.org/0000-0002-8467-0110
Hei LeungInternational Rice Research Institute (IRRI), Strategic Innovation, Los Baños, 4031, Laguna, Philippines.
Ramil MauleonInternational Rice Research Institute (IRRI), Strategic Innovation, Los Baños, 4031, Laguna, Philippines.ORCID http://orcid.org/0000-0001-8512-144X
Mathias LorieuxRice Genetics and Genomics Lab, International Center for Tropical Agriculture (CIAT), Cali, Colombia.ORCID http://orcid.org/0000-0001-9864-3933
Andrea ZuccoloCenter for Desert Agriculture, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia. andrea.zuccolo@kaust.edu.sa.ORCID http://orcid.org/0000-0001-7574-0714
Kenneth McNallyInternational Rice Research Institute (IRRI), Strategic Innovation, Los Baños, 4031, Laguna, Philippines.ORCID http://orcid.org/0000-0002-9613-5537
Jianwei ZhangArizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, Arizona, 85721, USA. jzhang@mail.hzau.edu.cn.ORCID http://orcid.org/0000-0001-8030-5346
Rod A WingCenter for Desert Agriculture, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia. rod.wing@kaust.edu.sa.ORCID http://orcid.org/0000-0001-6633-6226

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the human population grows from 7.8 billion to 10 billion over the next 30 years, breeders must do everything possible to create crops that are highly productive and nutritious, while simultaneously having less of an environmental footprint. Rice will play a critical role in meeting this demand and thus, knowledge of the full repertoire of genetic diversity that exists in germplasm banks across the globe is required. To meet this demand, we describe the generation, validation and preliminary analyses of transposable element and long-range structural variation content of 12 near-gap-free reference genome sequences (RefSeqs) from representatives of 12 of 15 subpopulations of cultivated Asian rice. When combined with 4 existing RefSeqs, that represent the 3 remaining rice subpopulations and the largest admixed population, this collection of 16 Platinum Standard RefSeqs (PSRefSeq) can be used as a template to map resequencing data to detect virtually all standing natural variation that exists in the pan-genome of cultivated Asian rice.

Indexed as

Genome, PlantCrops, AgriculturalGenetic VariationGenomicsOryza

Identifiers

PMID32265447
PMCPMC7138821

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.