Using system mapping to analyze genetic regulation mechanism of neighboring plant interaction in <i>Populus szechuanica</i> var. <i>tibetica</i>

Ding Mengdong; Wei Xueda; Wang Yu; Zhu Xuli

doi:10.12171/j.1000-1522.20220519

Journal of Beijing Forestry University > 2024 > 46(10): 63-73. > DOI: 10.12171/j.1000-1522.20220519

Ding Mengdong, Wei Xueda, Wang Yu, Zhu Xuli. Using system mapping to analyze genetic regulation mechanism of neighboring plant interaction in Populus szechuanica var. tibetica[J]. Journal of Beijing Forestry University, 2024, 46(10): 63-73. DOI: 10.12171/j.1000-1522.20220519

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Using system mapping to analyze genetic regulation mechanism of neighboring plant interaction in Populus szechuanica var. tibetica

Ding Mengdong^1,,
Wei Xueda¹,
Wang Yu¹,
Zhu Xuli^{1, 2, ,}

1.
Center for Computational Biology, School of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
2.
National Engineering Research Center of Tree Breeding and Ecological Restoration, Beijing Forestry University, Beijing 100083, China

More Information

Received Date: December 25, 2022
Revised Date: May 07, 2023
Accepted Date: October 07, 2024
Available Online: October 17, 2024

Graphical Abstract

Abstract

Abstract

Objective
The interactions between plants are of great significance to the formation of ecosystems. This study investigated the genetic regulatory mechanisms of plant interactions at the level of neighboring plant interactions, the smallest unit of intraspecific interactions.
Method
Using the natural population of Populus szechuanica var. tibetica as research material, different series numbers were randomly paired and cuttings were planted in pots to investigate the growth dynamic phenotypes of plant height throughout the growing season. Combining SNP marker data from the population, system mapping was performed to locate significant QTLs. GO enrichment analysis and construction of ordinary differential interaction networks were used to analyze the functions of candidate genes.
Result
(1) A total of 92 significant loci were mapped, annotating 31 candidate genes. (2) In GO enrichment analysis, biological processes included auxin signaling pathways and abscisic acid signaling pathways, molecular functions included endopeptidase activity and protease activity, and cellular components included respiratory chains and cytochromes. (3) Among the 31 candidate genes, genes 5, 8, 10, 12 and 21 were hub genes in the direct effect network, genes 5, 8, 10 and 13 were hub genes in the indirect effect network, and genes 5, 8 and 13 were hub genes in the epistatic interaction network, with genes 5, 10 and 13 involved in plant immune response and environmental stress response.
Conclusion
For neighboring interactions among P. szechuanica var. tibetica, system mapping can screen for interaction-related genetic loci, construct genetic regulatory networks, and mine hub genes, providing a new perspective for analyzing the genetic mechanisms of woody plant interactions.
- system mapping,
- neighboring plant interaction,
- regulatory network,
- QTL,
- Populus szechuanica var. tibetica

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References

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Using system mapping to analyze genetic regulation mechanism of neighboring plant interaction in Populus szechuanica var. tibetica