Evidence map›Paper›PMID 34499118›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2021

A high-quality chromosome-level genome of wild Rosa rugosa.

Fengqi Zang, Yan Ma, Xiaolong Tu, Ping Huang, Qichao Wu, Zhimin Li, Tao Liu, Furong Lin, Surui Pei, Dekui Zang and 3 more

Abstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2021. 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
–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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Frontiers in plant science · 2024
    Article
  7. Article
  8. Two High-QualityInternational journal of molecular sciences · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. RoseAP: an analytical platform for gene function ofFrontiers in plant science · 2023
    Article
  14. Article
  15. The identification of theHorticulture research · 2022
    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

13 authors.

Fengqi ZangState Key Laboratory of Tree Genetics and Breeding; Key Laboratory of Forest Silviculture and Tree Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, P.R. China.
Yan MaKey Laboratory of State Forestry Administration for Silviculture of the Lower Yellow River, College of Forestry, Shandong Agricultural University, Tai'an 271018, P. R. China.
Xiaolong TuAnnoroad Gene Technology (Beijing) Co., Ltd, Beijing 100176, P. R. China.
Ping HuangState Key Laboratory of Tree Genetics and Breeding; Key Laboratory of Forest Silviculture and Tree Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, P.R. China.
Qichao WuKey Laboratory of State Forestry Administration for Silviculture of the Lower Yellow River, College of Forestry, Shandong Agricultural University, Tai'an 271018, P. R. China.
Zhimin LiAnnoroad Gene Technology (Beijing) Co., Ltd, Beijing 100176, P. R. China.
Tao LiuAnnoroad Gene Technology (Beijing) Co., Ltd, Beijing 100176, P. R. China.
Furong LinState Key Laboratory of Tree Genetics and Breeding; Key Laboratory of Forest Silviculture and Tree Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, P.R. China.
Surui PeiAnnoroad Gene Technology (Beijing) Co., Ltd, Beijing 100176, P. R. China.
Dekui ZangKey Laboratory of State Forestry Administration for Silviculture of the Lower Yellow River, College of Forestry, Shandong Agricultural University, Tai'an 271018, P. R. China.
Xuemei ZhangAnnoroad Gene Technology (Beijing) Co., Ltd, Beijing 100176, P. R. China.
Yongqi ZhengState Key Laboratory of Tree Genetics and Breeding; Key Laboratory of Forest Silviculture and Tree Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, P.R. China.
Yunyan YuKey Laboratory of State Forestry Administration for Silviculture of the Lower Yellow River, College of Forestry, Shandong Agricultural University, Tai'an 271018, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rosa rugosa is an important shrub with economic, ecological, and pharmaceutical value. A high-quality chromosome-scale genome for R. rugosa sequences was assembled using PacBio and Hi-C technologies. The final assembly genome sequences size was about 407.1 Mb, the contig N50 size was 2.85 Mb, and the scaffold N50 size was 56.6 Mb. More than 98% of the assembled genome sequences were anchored to seven pseudochromosomes (402.9 Mb). The genome contained 37,512 protein-coding genes, with 37,016 genes (98.68%) that were functionally annotated, and 206.67 Mb (50.76%) of the assembled sequences are repetitive sequences. Phylogenetic analyses indicated that R. rugosa diverged from Rosa chinensis ∼6.6 million years ago, and no lineage-specific whole-genome duplication event occurred after divergence from R. chinensis. Chromosome synteny analysis demonstrated highly conserved synteny between R. rugosa and R. chinensis, between R. rugosa and Prunus persica as well. Comparative genome and transcriptome analysis revealed genes related to colour, scent, and environment adaptation. The chromosome-level reference genome provides important genomic resources for molecular-assisted breeding and horticultural comparative genomics research.

Indexed as

RosaChromosomesGenomeGenomicsPhylogenychromosome syntenygenome annotationgenome sequencingHi-C assemblyRosa rugosa

Identifiers

PMID34499118
PMCPMC8435549

What OpenQuestion holds

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Registered trials

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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.