Evidence map›Paper›PMID 34693480›Full record

ArticleRice (New York, N.Y.)2021

Population Structure of Nation-Wide Rice in Thailand.

Phanchita Vejchasarn, Jeremy R Shearman, Usawadee Chaiprom, Yotwarit Phansenee, Arissara Suthanthangjai, Jirapong Jairin, Varapong Chamarerk, Tatpong Tulyananda, Chainarong Amornbunchornvej

Abstract read
In one paragraph

Article in Rice (New York, N.Y.), 2021. 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
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.

  1. Article
  2. Article
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

9 authors.

Phanchita VejchasarnUbonratchathani Rice Research Center, 34000, Ubonratchathani, Thailand.
Jeremy R ShearmanNational Omics Center, National Science and Technology Development Agency, 111 Thailand Science Park, Paholyothin Road, Khlong Nueng, Khlong Luang, 12120, Pathum Thani, Thailand.
Usawadee ChaipromNational Biobank of Thailand (NBT), 144 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Khlong Luang, 12120, Pathum Thani, Thailand.
Yotwarit PhanseneeUbonratchathani Rice Research Center, 34000, Ubonratchathani, Thailand.
Arissara SuthanthangjaiUbonratchathani Rice Research Center, 34000, Ubonratchathani, Thailand.
Jirapong JairinUbonratchathani Rice Research Center, 34000, Ubonratchathani, Thailand.
Varapong ChamarerkUbonratchathani Rice Research Center, 34000, Ubonratchathani, Thailand.
Tatpong TulyanandaSchool of Bioinnovation and Bio-Based Product Intelligence, Faculty of Science, Mahidol University, 10400, Bangkok, Thailand.
Chainarong AmornbunchornvejNational Electronics and Computer Technology Center (NECTEC), 112 Phahonyothin Road, Khlong Nueng, Khlong Luang District, 12120, Pathum Thani, Thailand. chainarong.amo@nectec.or.th.ORCID http://orcid.org/0000-0003-3131-0370

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThailand is a country with large diversity in rice varieties due to its rich and diverse ecology. In this paper, 300 rice accessions from all across Thailand were sequenced to identify SNP variants allowing for the population structure to be explored.

resultsThe result of inferred population structure from admixture and clustering analysis illustrated strong evidence of substructure in each geographical region. The results of phylogenetic tree, PCA analysis, and machine learning on population identifying SNPs also supported the inferred population structure.

conclusionThe population structure inferred in this study contains five subpopulations that tend to group individuals based on location. So, each subpopulation has unique genetic patterns, agronomic traits, as well as different environmental conditions. This study can serve as a reference point of the nation-wide population structure for supporting breeders and researchers who are interested in Thai rice.

Indexed as

AdmixtureOryza sativaPopulation structureSNPs

Identifiers

PMID34693480
PMCPMC8542525

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.