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Cited by 270

The DOI matches its Crossref record; 108 of the 108 references it cites were found in a registry or an index.

New Insights Into Tissue Culture Plant-Regeneration Mechanisms

Open access
Long, Yun, Yang, Yun, Pan, Guangtang, Shen, Yaou·2022·Frontiers in Plant Science

Abstract

Plant regeneration occurs when plants repair or replace damaged structures based on the totipotency and pluripotency of their cells. Tissue culture is one of the most widely used regenerative technologies. Recently, a series of breakthroughs were made in the study of plant regeneration. This review summarizes two regenerative pathways in tissue culture: somatic embryogenesis and de novo organogenesis. Furthermore, we review the environmental factors influencing plant regeneration from explant sources, basal culture medium, plant growth regulators, and light/dark treatment. Additionally, we analyse the molecular mechanisms underlying two pathways. This knowledge will promote an understanding of the fundamental principles of plant regeneration from precursor cells and lay a solid foundation for applying plant micropropagation and genetic modification.

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Crossref · 10.3389/fpls.2022.926752

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Metadata

Authors
Long, Y., Yang, Y., Pan, G., & Shen, Y.
Venue
Frontiers in Plant Science
Published
2022-06-30
Volume
13
Pages
926752-926752
ISSN
1664-462X (ISSN-L)
OpenAlex
W4283758322
Cited by
270
References
108
FWCI
12.50
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: New Insights Into Tissue Culture Plant-Regeneration Mechanisms. https://app.cochat.ai/papers/10.3389/fpls.2022.926752
The paper
Long, Y., Yang, Y., Pan, G., & Shen, Y. (2022). New Insights Into Tissue Culture Plant-Regeneration Mechanisms. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2022.926752

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.