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Article

Integrated Mitochondrial Genome and Transcriptomic Analyses Reveal Long Non-Coding RNAs Associated with Drought Tolerance in Sophora moorcroftiana

1
School of Horticulture and Landscape, Yangzhou University, Yangzhou 225009, China
2
Tibet Academy of Forest Trees, Lasa 851400, China
*
Authors to whom correspondence should be addressed.
Biology 2025, 14(12), 1711; https://doi.org/10.3390/biology14121711
Submission received: 20 October 2025 / Revised: 25 November 2025 / Accepted: 28 November 2025 / Published: 30 November 2025
(This article belongs to the Special Issue Adaptation Mechanisms of Forest Trees to Abiotic Stress)

Simple Summary

Plant mitochondria play essential roles in cellular energy metabolism and have variable and complex structures of their mitogenomes. However, no complete mitogenome has been used to explore the genetic mechanisms underlying drought resistance in S. moorcroftiana. Here, we sequenced the first mitogenome of S. moorcroftiana and analyzed its structure, codon usage, evolutionary relationships, and RNA editing site distribution. Conjoint analysis of the mitogenome and transcriptome further identified RNA editing sites and differentially expressed genes, as well as elevated physiological indicators in S. moorcroftiana roots under drought treatment. The present study offers valuable resources for future studies on the molecular mechanisms and breeding strategies aimed at enhancing drought resistance in this species.

Abstract

Sophora moorcroftiana is a perennial deciduous dwarf shrub that exhibits remarkable ecological adaptability, including strong drought resistance on the Tibetan Plateau. In this study, the complete mitogenome of S. moorcroftiana was reported and assembled for the first time, representing a circular molecule of 534,205 bp with a GC content of 44.93%. The mitogenome was annotated to include 33 unique protein-coding genes (PCGs), 19 tRNA genes, and three rRNA genes. Phylogenetic and collinearity analyses of the mitogenomes of S. moorcroftiana and related species revealed their evolutionary relationships and a non-conserved structure. The codon usage of the PCGs and 166 simple sequence repeats was also analyzed. Conjoint analysis of the transcriptome and mitogenome identified 587 RNA editing sites across 33 PCGs, with 14 genes significantly induced in the roots under drought treatment. Moreover, the levels of proline, soluble sugar, soluble protein, and peroxidase activity were significantly elevated in S. moorcroftiana roots subjected to different PEG6000 concentrations. These findings provide valuable insights into the molecular mechanisms underlying drought responses and offer genetic resources for improving drought resistance in S. moorcroftiana.
Keywords: Sophora moorcroftiana; drought tolerance; mitogenome; RNA editing; transcriptome Sophora moorcroftiana; drought tolerance; mitogenome; RNA editing; transcriptome

Share and Cite

MDPI and ACS Style

Xu, J.; Sun, Y.; Wang, Y.; Nan, J.; Gesang, Q.; Li, B. Integrated Mitochondrial Genome and Transcriptomic Analyses Reveal Long Non-Coding RNAs Associated with Drought Tolerance in Sophora moorcroftiana. Biology 2025, 14, 1711. https://doi.org/10.3390/biology14121711

AMA Style

Xu J, Sun Y, Wang Y, Nan J, Gesang Q, Li B. Integrated Mitochondrial Genome and Transcriptomic Analyses Reveal Long Non-Coding RNAs Associated with Drought Tolerance in Sophora moorcroftiana. Biology. 2025; 14(12):1711. https://doi.org/10.3390/biology14121711

Chicago/Turabian Style

Xu, Jun, Yan Sun, Yuting Wang, Jibin Nan, Quzhen Gesang, and Bingzhang Li. 2025. "Integrated Mitochondrial Genome and Transcriptomic Analyses Reveal Long Non-Coding RNAs Associated with Drought Tolerance in Sophora moorcroftiana" Biology 14, no. 12: 1711. https://doi.org/10.3390/biology14121711

APA Style

Xu, J., Sun, Y., Wang, Y., Nan, J., Gesang, Q., & Li, B. (2025). Integrated Mitochondrial Genome and Transcriptomic Analyses Reveal Long Non-Coding RNAs Associated with Drought Tolerance in Sophora moorcroftiana. Biology, 14(12), 1711. https://doi.org/10.3390/biology14121711

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