journal article·2024-09Open access

Novel Mito‐Nuclear Combinations Facilitate the Global Invasion of a Major Agricultural Crop Pest

Hongran Li, Xinyue Liang, Yan Peng, Zhenxing Liu, Lei Zhang, Ping Wang, Minghui Jin, Kenneth Wilson, Michael R. Garvin, Kongming Wu, Yutao Xiao

Advanced Science· Volume 11· Issue 34

Abstract

Abstract A fundamental understanding of the underlying mechanisms involved in biological invasions is crucial to developing effective risk assessment and control measures against invasive species. The fall armyworm (FAW), Spodoptera frugiperda, is a highly invasive pest that has rapidly spread from its native Americas into much of the Eastern Hemisphere, with a highly homogeneous nuclear genetic background. However, the exact mechanism behind its rapid introduction and propagation remains unclear. Here, a systematic investigation is conducted into the population dynamics of FAW in China from 2019 to 2021 and found that FAW individuals carrying “rice” mitochondria (FAW‐mR) are more prevalent (>98%) than that with “corn” mitochondria (FAW‐mC) at the initial stage of the invasion and in newly‐occupied non‐overwintering areas. Further fitness experiments show that the two hybrid‐strains of FAW exhibit different adaptions in the new environment in China, and this may have been facilitated by amino acid changes in mitochondrial‐encoded proteins. FAW‐mR used increases energy metabolism, faster wing‐beat frequencies, and lower wing loadings to drive greater flight performance and subsequent rapid colonization of new habitats. In contrast, FAW‐mC individuals adapt with more relaxed mitochondria and shuttle energetics into maternal investment, observed as faster development rate and higher fecundity. The presence of two different mitochondria types within FAW has the potential to significantly expand the range of damage and enhance competitive advantage. Overall, the study describes a novel invasion mechanism displayed by the FAW population that facilitates its expansion and establishment in new environments.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Insect Resistance and Genetics · Insect-Plant Interactions and Control · Biological Control of Invasive Species

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

Affiliations

Shenzhen Branch Guangdong Laboratory of Lingnan Modern Agriculture Key Laboratory of Gene Editing Technologies (Hainan) Ministry of Agriculture and Rural Affairs Agricultural Genomics Institute at Shenzhen Chinese Academy of Agricultural Sciences Shenzhen 518000 China

State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant Protection Chinese Academy of Agricultural Sciences Beijing 100193 China

School of Life Sciences Henan University Kaifeng 475004 China

Lancaster Environment Centre Lancaster University Lancaster LA1 4YQ UK

Oak Ridge National Laboratory Biosciences Division, Oak Ridge TN 37830 USA

Funding

National Natural Science Foundation of China · Global Challenges Research Fund

References (89)

Show source-provided references
1. 10.1073/pnas.160220511310.1073/pnas.1602205113 ↗
2. 10.1111/brv.1262710.1111/brv.12627 ↗
3. 10.1111/geb.1308210.1111/geb.13082 ↗
4. 10.1038/s41586-021-03405-610.1038/s41586-021-03405-6 ↗
5. 10.1146/annurev.ento.52.110405.09140110.1146/annurev.ento.52.110405.091401 ↗
6. 10.1146/annurev.ecolsys.110308.12030410.1146/annurev.ecolsys.110308.120304 ↗
7. 10.1038/ncomms1431510.1038/ncomms14315 ↗
8. 10.1111/j.1752-4571.2011.00211.x10.1111/j.1752-4571.2011.00211.x ↗
9. 10.1016/S0169-5347(02)02554-510.1016/S0169-5347(02)02554-5 ↗
10. 10.1126/science.282.5390.94910.1126/science.282.5390.949 ↗
11. 10.1016/j.cub.2011.01.06810.1016/j.cub.2011.01.068 ↗
12. 10.1007/s12080-019-0415-610.1007/s12080-019-0415-6 ↗
13. 10.1038/s41598-022-05781-z10.1038/s41598-022-05781-z ↗
14. 10.1603/AN1113810.1603/AN11138 ↗
15. 10.1007/s00484-015-1022-x10.1007/s00484-015-1022-x ↗
16. 10.1371/journal.pone.016563210.1371/journal.pone.0165632 ↗
17. 10.1371/journal.pone.018198210.1371/journal.pone.0181982 ↗
18. 10.1371/journal.pone.021775510.1371/journal.pone.0217755 ↗
19. 10.18520/cs/v115/i4/621-62310.18520/cs/v115/i4/621-623 ↗
20. 10.1038/s41598-020-58249-310.1038/s41598-020-58249-3 ↗
21. 10.1111/1744-7917.1270010.1111/1744-7917.12700 ↗
22. 10.1016/S2095-3119(20)63367-610.1016/S2095-3119(20)63367-6 ↗
23. 10.1093/aesa/79.6.89810.1093/aesa/79.6.898 ↗
24. Pashley D. · Evolution · 1988 · 42 · 93
25. 10.1093/aesa/85.4.40010.1093/aesa/85.4.400 ↗
26. 10.1653/0015-4040(2004)087[0440:BADOTT]2.0.CO;210.1653/0015-4040(2004)087[0440:BADOTT]2.0.CO;2 ↗
27. 10.1603/0013-8746(2004)097[1034:MGAOHU]2.0.CO;210.1603/0013-8746(2004)097[1034:MGAOHU]2.0.CO;2 ↗
28. 10.1186/1742-9994-5-2010.1186/1742-9994-5-20 ↗
29. 10.1007/s00049-009-0005-y10.1007/s00049-009-0005-y ↗
30. 10.1111/mec.1711710.1111/mec.17117 ↗
31. 10.1111/1755-0998.1321910.1111/1755-0998.13219 ↗
32. 10.1002/bies.2046310.1002/bies.20463 ↗
33. 10.1113/JP27383910.1113/JP273839 ↗
34. 10.1093/molbev/msv10410.1093/molbev/msv104 ↗
35. 10.1186/s12864-015-1883-810.1186/s12864-015-1883-8 ↗
36. 10.3390/ijms2111382010.3390/ijms21113820 ↗
37. 10.1016/j.tree.2004.02.00210.1016/j.tree.2004.02.002 ↗
38. 10.1098/rsbl.2021.019410.1098/rsbl.2021.0194 ↗
39. 10.1111/mec.1514810.1111/mec.15148 ↗
40. 10.1093/molbev/msx18410.1093/molbev/msx184 ↗
41. 10.1111/jeb.1408010.1111/jeb.14080 ↗
42. 10.1016/j.tibtech.2020.07.00110.1016/j.tibtech.2020.07.001 ↗
43. 10.1073/pnas.97.13.704310.1073/pnas.97.13.7043 ↗
44. 10.1007/s10709-006-9011-y10.1007/s10709-006-9011-y ↗
45. 10.1016/j.cub.2008.01.06310.1016/j.cub.2008.01.063 ↗
46. 10.1016/j.tree.2007.07.00210.1016/j.tree.2007.07.002 ↗
47. 10.1016/j.tree.2004.07.00310.1016/j.tree.2004.07.003 ↗
48. 10.1073/pnas.150473211210.1073/pnas.1504732112 ↗
49. Liu S. · World Agric. · 2023 · 01 · 89
50. Guo J. · Plant Prot. · 2018 · 44 · 1
51. 10.3897/neobiota.40.2816510.3897/neobiota.40.28165 ↗
52. 10.1016/S2095-3119(21)63621-310.1016/S2095-3119(21)63621-3 ↗
53. 10.1093/genetics/164.1.18710.1093/genetics/164.1.187 ↗
54. 10.1016/j.cub.2012.12.00210.1016/j.cub.2012.12.002 ↗
55. 10.1093/molbev/msz03610.1093/molbev/msz036 ↗
56. 10.1098/rstb.2013.044310.1098/rstb.2013.0443 ↗
57. 10.1534/genetics.105.04669810.1534/genetics.105.046698 ↗
58. 10.1111/mec.1448810.1111/mec.14488 ↗
59. 10.1111/jzs.1207910.1111/jzs.12079 ↗
60. 10.1038/s41580-021-00415-010.1038/s41580-021-00415-0 ↗
61. 10.1016/j.bbamem.2017.03.01310.1016/j.bbamem.2017.03.013 ↗
62. 10.3389/fmolb.2021.79835310.3389/fmolb.2021.798353 ↗
63. 10.1038/s41586-020-2477-410.1038/s41586-020-2477-4 ↗
64. Guo J. · Cell Discov. · 2021 · 7 · 78
65. 10.1016/j.omtn.2021.11.01610.1016/j.omtn.2021.11.016 ↗
66. 10.1038/s41477-021-00943-910.1038/s41477-021-00943-9 ↗
67. 10.1016/j.cell.2022.03.03910.1016/j.cell.2022.03.039 ↗
68. 10.1093/molbev/msab05410.1093/molbev/msab054 ↗
69. K.Yee M.Aye N.Htain A.Kyaw P.Kyi M.Thein N.Saing Spodoptera frugiperda(Lepidoptra: Noctuidae) on Maize in MyanmPest Rep.2019 No. MMR‐19/2.
70. 10.1094/MPMI-22-8-090910.1094/MPMI-22-8-0909 ↗
71. 10.1093/bioinformatics/bts19910.1093/bioinformatics/bts199 ↗
72. 10.1093/molbev/msw05410.1093/molbev/msw054 ↗
73. 10.1093/bioinformatics/btp32410.1093/bioinformatics/btp324 ↗
74. 10.1093/bioinformatics/btp35210.1093/bioinformatics/btp352 ↗
75. 10.1101/gr.094052.10910.1101/gr.094052.109 ↗
76. 10.1002/ece3.879210.1002/ece3.8792 ↗
77. 10.1111/phen.1224010.1111/phen.12240 ↗
78. 10.1073/pnas.211575311810.1073/pnas.2115753118 ↗
79. H.Chi TWOSEX‐MSChart: a computer program for the age‐stage two‐sex life table analysis. (Version 2024.05.07) National Chung Hsing University Taichun Taiwan. Available athttp://140.120.197.173/Ecology/prod02.htm.
80. 10.1093/nar/gkw106010.1093/nar/gkw1060 ↗
81. 10.1016/j.cell.2017.07.05010.1016/j.cell.2017.07.050 ↗
82. 10.1002/jcc.2008410.1002/jcc.20084 ↗
83. 10.1038/nmeth.192310.1038/nmeth.1923 ↗
84. 10.1186/1471-2105-12-32310.1186/1471-2105-12-323 ↗
85. 10.1186/s13059-014-0550-810.1186/s13059-014-0550-8 ↗
86. 10.1038/s41598-018-28948-z10.1038/s41598-018-28948-z ↗
87. 10.1093/nar/gkw109210.1093/nar/gkw1092 ↗
88. 10.1111/1744-7917.1270010.1111/1744-7917.12700 ↗
89. Nagoshi R. · PLoS One · 2017 · 2410.1371/journal.pone.0181982 ↗