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Combined Transcriptome and Metabolome Analysis of Alfalfa Responses to Aphid Infestation

Author

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  • Hao Liu

    (College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, China
    Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, Qingdao 266109, China
    These authors contributed equally to this work.)

  • Ming Xu

    (College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, China
    Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, Qingdao 266109, China
    These authors contributed equally to this work.)

  • Yuhan Guo

    (College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, China
    Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, Qingdao 266109, China)

  • Zhencuo Dan

    (College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, China
    Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, Qingdao 266109, China)

  • Xin Liu

    (College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, China
    Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, Qingdao 266109, China)

  • Jiayi Zhang

    (College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, China
    Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, Qingdao 266109, China)

  • Cong Li

    (College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, China
    Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, Qingdao 266109, China)

  • Shizhen Jia

    (College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, China
    Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, Qingdao 266109, China)

  • Lei Jia

    (College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, China
    Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, Qingdao 266109, China)

  • Ailing Yu

    (College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, China
    Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, Qingdao 266109, China)

  • Lili Cong

    (College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, China
    Key Laboratory of National Forestry and Grassland Administration on Grassland Resources and Ecology in the Yellow River Delta, Qingdao 266109, China)

Abstract

Alfalfa ( Medicago sativa L.) is an economically important forage legume. As a result of the extensive and intensive cultivation of alfalfa planting and the gradual expansion of planting areas, pest occurrence has increased in frequency. Aphids are one of the main pests that threaten the growth and productivity of alfalfa. After an aphid outbreak, alfalfa yield and quality are commonly greatly reduced. At present, there are few studies on alfalfa plants infested with aphids, so it is imperative to study the regulatory mechanisms of aphid infestation tolerance in alfalfa. In this study, alfalfa plants from the variety “Wudi” were investigated, and pea aphids were selected for inoculation. The transcriptome and metabolome data were analyzed at three time points (0 d, 1 d, and 4 d), revealing 3458 differentially expressed genes and 358 differential metabolites. Trend analysis of DEGs and DAMs revealed that the former were significantly enriched in three distinct trends, whereas the latter were significantly enriched in only one. Moreover, 117 important hub genes associated with alfalfa response to aphid infestation were screened by WGCNA. By mapping DEGs and DAMs to KEGG pathways, it was found that the “phenylpropanoid biosynthesis”, “flavonoid biosynthesis”, and “isoflavonoid biosynthesis” pathways play an important role in alfalfa responses to aphid infestation. These results further elucidate the regulatory mechanism of alfalfa in response to aphid infestation and provide valuable information for breeding new aphid-resistant plant varieties.

Suggested Citation

  • Hao Liu & Ming Xu & Yuhan Guo & Zhencuo Dan & Xin Liu & Jiayi Zhang & Cong Li & Shizhen Jia & Lei Jia & Ailing Yu & Lili Cong, 2024. "Combined Transcriptome and Metabolome Analysis of Alfalfa Responses to Aphid Infestation," Agriculture, MDPI, vol. 14(9), pages 1-17, September.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:9:p:1545-:d:1473038
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    References listed on IDEAS

    as
    1. Yajun Ma & Guozhu Yang & Ruijun Duan & Xiaoan Li & Siheng Zeng & Yajun Yan & Ce Zheng & Yueming Hu, 2024. "Transcriptome analysis of alfalfa (Medicago sativa L.) roots reveals overwintering changes in different varieties," Czech Journal of Genetics and Plant Breeding, Czech Academy of Agricultural Sciences, vol. 60(2), pages 97-104.
    2. Lijiao Gu & Pengyun Chen & Shuxun Yu, 2023. "The cytochrome P450 gene GhCYP94C1 is involved in drought stress in upland cotton (Gossypium hirsutum L.)," Czech Journal of Genetics and Plant Breeding, Czech Academy of Agricultural Sciences, vol. 59(4), pages 189-195.
    3. Haitao Chen & Yan Zeng & Yongzhi Yang & Lingli Huang & Bolin Tang & He Zhang & Fei Hao & Wei Liu & Youhan Li & Yanbin Liu & Xiaoshuang Zhang & Ru Zhang & Yesheng Zhang & Yongxin Li & Kun Wang & Hua He, 2020. "Allele-aware chromosome-level genome assembly and efficient transgene-free genome editing for the autotetraploid cultivated alfalfa," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
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