journal article·2026-07Open access

Cotton Recruits Soil‐Derived Delftia tsuruhatensis to Suppress Aphid Detoxification Via Salicylic Acid‐Mediated Defense

Hui Xue, Fengchao Diao, Qiqing Yu, Xiangzhen Zhu, Tingfang Zhong, Li Wang, Kaixin Zhang, Dongyang Li, Jichao Ji, Junyu Luo, Jinjie Cui, Xueke Gao

Advanced Science· Volume 13· Issue 38

Abstract

ABSTRACT The synergistic defense between microorganisms and plants holds significant ecological importance in resisting pest attacks. Herbivorous insects pose a significant threat to global agriculture. While plants deploy defense hormones like jasmonic acid (JA) and salicylic acid (SA), the role of beneficial microbes in enhancing these defenses remains underexplored. This study unveils a novel tripartite interaction in which cotton actively mobilizes the soil‐derived bacterium Delftia tsuruhatensis to roots and leaves upon aphid attack, reshaping its microbiome for defense. Following aphid infestation, the abundance of D. tsuruhatensis was increased significantly in both roots and leaves. Inoculation of cotton with D. tsuruhatensis significantly reduced aphid fitness, inhibiting phloem feeding, decreasing survival, prolonging nymphal development, and impairing reproduction. Mechanistically, we found that D. tsuruhatensis activates the host plant's SA signaling pathway. This plant‐mediated response, in turn, effectively suppresses the expression of a key aphid detoxification gene, UGT2B17 ( UDP‐glucosyltransferase 2B17 ), compromising the insect's ability to metabolize plant defenses. Furthermore, the combination of D. tsuruhatensis and RNAi‐mediated silencing of UGT2B17 synergistically enhanced aphid mortality. Our results elucidate a sophisticated defense strategy wherein the host plant leverages a beneficial microbe to augment its innate immunity through cross‐kingdom gene regulation, ultimately disarming the pest's detoxification system.
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Research context

OpenAlex topics: Plant-Microbe Interactions and Immunity · Plant Pathogenic Bacteria Studies · Infections and bacterial resistance

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Research Base of Zhengzhou University, State Key Laboratory of Cotton Bio‐Breeding and Integrated Utilization Institute of Cotton Research Chinese Academy of Agricultural Sciences Anyang Henan China

College of Plant Science and Technology Huazhong Agricultural University Wuhan Hubei China

State Key Laboratory of Cotton Bio‐Breeding and Integrated Utilization, School of Agricultural Sciences Zhengzhou University Zhengzhou Henan China

Funding

National Key Research and Development Program of China · Natural Science Foundation of Henan Province

References (53)

Show source-provided references
1. 10.3390/ijms2305269010.3390/ijms23052690 ↗
2. 10.3390/ijms2313703110.3390/ijms23137031 ↗
3. 10.1094/mpmi‐23‐9‐113010.1094/mpmi‐23‐9‐1130 ↗
4. 10.1146/annurev‐phyto‐080516‐03554410.1146/annurev‐phyto‐080516‐035544 ↗
5. 10.1038/s41396‐021‐00974‐210.1038/s41396‐021‐00974‐2 ↗
6. 10.1038/s41579‐020‐0412‐110.1038/s41579‐020‐0412‐1 ↗
7. 10.1186/s40168‐024‐01884‐z10.1186/s40168‐024‐01884‐z ↗
8. 10.1002/ps.552710.1002/ps.5527 ↗
9. 10.1111/nph.1325210.1111/nph.13252 ↗
10. 10.1016/j.pbi.2014.04.00310.1016/j.pbi.2014.04.003 ↗
11. 10.1146/annurev‐phyto‐082712‐10234010.1146/annurev‐phyto‐082712‐102340 ↗
12. 10.1016/j.tplants.2017.08.00510.1016/j.tplants.2017.08.005 ↗
13. 10.1016/j.cois.2023.10103810.1016/j.cois.2023.101038 ↗
14. 10.3390/insects1107043610.3390/insects11070436 ↗
15. 10.3389/fpls.2022.98936510.3389/fpls.2022.989365 ↗
16. 10.3390/v1207077310.3390/v12070773 ↗
17. 10.1002/ece3.670910.1002/ece3.6709 ↗
18. 10.1016/j.plantsci.2018.04.02710.1016/j.plantsci.2018.04.027 ↗
19. 10.1007/s44154‐025‐00214‐z10.1007/s44154‐025‐00214‐z ↗
20. 10.1093/bioinformatics/bty56010.1093/bioinformatics/bty560 ↗
21. 10.1093/bioinformatics/btr50710.1093/bioinformatics/btr507 ↗
22. 10.1038/nmeth.386910.1038/nmeth.3869 ↗
23. 10.1038/s41587‐019‐0209‐910.1038/s41587‐019‐0209‐9 ↗
24. 10.1002/imt2.21710.1002/imt2.217 ↗
25. 10.1128/aem.01541‐0910.1128/aem.01541‐09 ↗
26. 10.1038/nmeth.331710.1038/nmeth.3317 ↗
27. 10.1038/nbt.312210.1038/nbt.3122 ↗
28. 10.1186/1471‐2105‐12‐32310.1186/1471‐2105‐12‐323 ↗
29. 10.1093/bioinformatics/btp61210.1093/bioinformatics/btp612 ↗
30. 10.1038/s41598‐018‐28948‐z10.1038/s41598‐018‐28948‐z ↗
31. 10.21769/BioProtoc.295010.21769/BioProtoc.2950 ↗
32. 10.1016/j.chemosphere.2018.12.02510.1016/j.chemosphere.2018.12.025 ↗
33. 10.1127/entomologia/2022/185110.1127/entomologia/2022/1851 ↗
34. 10.1186/gb‐2013‐14‐6‐20910.1186/gb‐2013‐14‐6‐209 ↗
35. 10.1146/annurev‐arplant‐050312‐12010610.1146/annurev‐arplant‐050312‐120106 ↗
36. 10.1146/annurev‐phyto‐082712‐10234210.1146/annurev‐phyto‐082712‐102342 ↗
37. 10.1126/science.aaa876410.1126/science.aaa8764 ↗
38. 10.3390/agriculture1210166310.3390/agriculture12101663 ↗
39. 10.1016/j.pbi.2017.04.01810.1016/j.pbi.2017.04.018 ↗
40. 10.3389/fpls.2023.125002010.3389/fpls.2023.1250020 ↗
41. 10.1038/s41586‐025‐09280‐910.1038/s41586‐025‐09280‐9 ↗
42. 10.1111/jipb.1341010.1111/jipb.13410 ↗
43. 10.1007/bf0099322610.1007/bf00993226 ↗
44. 10.1094/mpmi.2004.17.7.76310.1094/mpmi.2004.17.7.763 ↗
45. 10.1016/j.tplants.2020.01.00410.1016/j.tplants.2020.01.004 ↗
46. 10.3389/fpls.2024.137691710.3389/fpls.2024.1376917 ↗
47. 10.1126/science.250.4983.100410.1126/science.250.4983.1004 ↗
48. 10.1016/j.plgene.2021.10030210.1016/j.plgene.2021.100302 ↗
49. 10.1016/j.bcp.2015.10.00110.1016/j.bcp.2015.10.001 ↗
50. 10.1080/03602532.2022.208363210.1080/03602532.2022.2083632 ↗
51. 10.1016/j.pestbp.2020.10456510.1016/j.pestbp.2020.104565 ↗
52. 10.1016/j.ibmb.2022.10374310.1016/j.ibmb.2022.103743 ↗
53. 10.1007/s11829‐012‐9220‐510.1007/s11829‐012‐9220‐5 ↗