Evidence map›Paper›PMID 27757948›Full record

ArticleRice (New York, N.Y.)2016

Rice Chloroplast Genome Variation Architecture and Phylogenetic Dissection in Diverse Oryza Species Assessed by Whole-Genome Resequencing.

Wei Tong, Tae-Sung Kim, Yong-Jin Park

Abstract read
In one paragraph

Article in Rice (New York, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

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34citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Chloroplast Genome Diversity and Marker Potentials of DiverseInternational journal of molecular sciences · 2025
    Article
  4. Article
  5. Plants (Basel, Switzerland) · 2023
    Article
  6. Maternal Donor and Genetic Variation ofInternational journal of molecular sciences · 2023
    Article
  7. Article
  8. Article
  9. Article
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  12. Article
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  14. Article
  15. The complete nucleotide sequence ofMitochondrial DNA. Part B, Resources · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Complete Chloroplast Genome ofPlants (Basel, Switzerland) · 2021
    Article
  20. Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Wei TongDepartment of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan, 32439, Republic of Korea.
Tae-Sung KimDepartment of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan, 32439, Republic of Korea.
Yong-Jin ParkDepartment of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan, 32439, Republic of Korea. yjpark@kongju.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChloroplast genome variations have been detected, despite its overall conserved structure, which has been valuable for plant population genetics and evolutionary studies. Here, we described chloroplast variation architecture of 383 rice accessions from diverse regions and different ecotypes, in order to mine the rice chloroplast genome variation architecture and phylogenetic.

resultsA total of 3677 variations across the chloroplast genome were identified with an average density of 27.33 per kb, in which wild rice showing a higher variation density than cultivated groups. Chloroplast genome nucleotide diversity investigation indicated a high degree of diversity in wild rice than in cultivated rice. Genetic distance estimation revealed that African rice showed a low level of breeding and connectivity with the Asian rice, suggesting the big distinction of them. Population structure and principal component analysis revealed the existence of clear clustering of African and Asian rice, as well as the indica and japonica in Asian cultivated rice. Phylogenetic analysis based on maximum likelihood and Bayesian inference methods and the population splits test suggested and supported the independent origins of indica and japonica within Asian cultivated rice. In addition, the African cultivated rice was thought to be domesticated differently from Asian cultivated rice.

conclusionsThe chloroplast genome variation architecture in Asian and African rice are different, as well as within Asian or African rice. Wild rice and cultivated rice also have distinct nucleotide diversity or genetic distance. In chloroplast level, the independent origins of indica and japonica within Asian cultivated rice were suggested and the African cultivated rice was thought to be domesticated differently from Asian cultivated rice. These results will provide more candidate evidence for the further rice chloroplast genomic and evolution studies.

Indexed as

African riceAsian riceChloroplastPhylogeneticResequencingVariation

Identifiers

PMID27757948
PMCPMC5069220

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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.