Abstract

Background

Plant-associated microorganisms significantly contribute to plant survival in diverse environments. However, limited information is available regarding the involvement of endophytes in responding to climate change and their potential to enhance host plants’ adaptation to future environmental shifts. Pinus armandi, endemic to China and widely distributed in climate-sensitive regions, serves as an ideal subject for investigating microbiome interactions that assist host plants in climate change response. Despite this, a comprehensive understanding of the diversity, community composition, and factors influencing endosperm endophytes in P. armandi, as well as the response of these endophytes to climate change, remains elusive.

Results

In this study, transcriptome data from 55 P. armandi samples from 13 populations were analyzed to evaluate the composition and diversity of active endosperm endophytes and predict their response to future climate change. The results revealed variations in community composition, phylogenetic diversity, and interaction network between the northern and southern groups. Temperature and precipitation correlated with endosperm endophytic species richness and diversity. Under projected future climate conditions, the northern group exhibits greater genomic vulnerability and anticipates increased threats, reflecting a corresponding trend in endosperm endophytes, particularly within the Ascomycota community.

Conclusion

The consistent threat trend from climate change impacting both hosts and endophytes emphasizes the potential importance of host-related fungi as crucial indicators for predicting future climate impacts. Meanwhile, this study establishes an initial framework for exploring host-microbial interactions within the context of climate warming and provides valuable insights for studies related to plant protection.

Details

Title
Decoding endosperm endophytes in Pinus armandi: a crucial indicator for host response to climate change
Author
Wen-Di, Zhang; Yan-Yan, Liu; Man-Man, Li; Du, Hong; Kai-Yuan, Huang; Yuan-Yuan, Feng; Chang-Wang, Ma; Xiao-Xin, Wei; Xiao-Quan, Wang; Jin-Hua, Ran
Pages
1-18
Section
Research
Publication year
2025
Publication date
2025
Publisher
BioMed Central
e-ISSN
14712180
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3201541539
Copyright
© 2025. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.