Evidence map›Paper›PMID 38585015›Full record

ArticleHorticulture research2024

Flowering genes identification, network analysis, and database construction for 837 plants.

Tong Wu, Zhuo Liu, Tong Yu, Rong Zhou, Qihang Yang, Rui Cao, Fulei Nie, Xiao Ma, Yun Bai, Xiaoming Song

Abstract read
In one paragraph

Article in Horticulture research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  11. A major FT/TFL1 regulatory locus (Frontiers in plant science · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. HHorticulture research · 2025
    Article
  18. Article
  19. Article
  20. The pan genome analysis ofHorticulture research · 2025
    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

10 authors.

Tong WuSchool of Life Sciences/Library, North China University of Science and Technology, Tangshan, Hebei 063210, China.
Zhuo LiuSchool of Life Sciences/Library, North China University of Science and Technology, Tangshan, Hebei 063210, China.
Tong YuSchool of Life Sciences/Library, North China University of Science and Technology, Tangshan, Hebei 063210, China.
Rong ZhouDepartment of Food Science, Aarhus University, Aarhus 8200, Denmark.ORCID https://orcid.org/0000-0001-5755-1258
Qihang YangSchool of Life Sciences/Library, North China University of Science and Technology, Tangshan, Hebei 063210, China.
Rui CaoSchool of Life Sciences/Library, North China University of Science and Technology, Tangshan, Hebei 063210, China.
Fulei NieSchool of Life Sciences/Library, North China University of Science and Technology, Tangshan, Hebei 063210, China.
Xiao MaSchool of Life Sciences/Library, North China University of Science and Technology, Tangshan, Hebei 063210, China.
Yun BaiSchool of Life Sciences/Library, North China University of Science and Technology, Tangshan, Hebei 063210, China.
Xiaoming SongSchool of Life Sciences/Library, North China University of Science and Technology, Tangshan, Hebei 063210, China.ORCID https://orcid.org/0000-0003-0084-3668

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flowering is one of the most important biological phenomena in the plant kingdom, which not only has important ecological significance, but also has substantial horticultural ornamental value. In this study, we undertook an exhaustive review of the advancements in our understanding of plant flowering genes. We delved into the identification and conducted comparative analyses of flowering genes across virtually all sequenced angiosperm plant genomes. Furthermore, we established an extensive angiosperm flowering atlas, encompassing a staggering 183 720 genes across eight pathways, along with 10 155 ABCDE mode genes, which play a pivotal role in plant flowering regulation. Through the examination of expression patterns, we unveiled the specificities of these flowering genes. An interaction network between flowering genes of the ABCDE model and their corresponding upstream genes offered a blueprint for comprehending their regulatory mechanisms. Moreover, we predicted the miRNA and target genes linked to the flowering processes of each species. To culminate our efforts, we have built a user-friendly web interface, named the Plant Flowering-time Gene Database (PFGD), accessible at http://pfgd.bio2db.com/. We firmly believe that this database will serve as a cornerstone in the global research community, facilitating the in-depth exploration of flowering genes in the plant kingdom. In summation, this pioneering endeavor represents the first comprehensive collection and comparative analysis of flowering genes in plants, offering valuable resources for the study of plant flowering genetics.

Identifiers

PMID38585015
PMCPMC10995624

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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.