量化循环功能基因从可活的古生物和细菌在米土壤中的量化
Andrea Manfredini1, Eligio Malusà2,3, Flavia Pinzari4,5
1Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment, 00184 Roma, Italy.
Journal of applied microbiology
|July 29, 2023
概括
甲酸 (PMA) 能够有效地区分活跃的土壤微生物和死细胞. 这种方法准确量化了微生物的功能基因,揭示了肥料对田土壤中气循环的影响.
科学领域:
- 土壤微生物学 土壤微生物学
- 分子生物学分子生物学
- 环境科学环境科学
背景情况:
- 在准确的生态评估中,区分土壤中的活力和死亡微生物细胞至关重要.
- 传统的方法,如基于RNA的分析有局限性.
- 胺 (PMA) 为选择性DNA放大提供了一个有希望的替代品.
研究的目的:
- 评估PMA与定量PCR (qPCR) 结合用于在土壤中进行可行的微生物基因量化.
- 评估不同类型的土壤和肥料对微生物群落的影响.
主要方法:
- 使用PMA染色来区分活细胞和死细胞.
- 使用定量聚合酶连锁反应 (qPCR) 来测量功能基因.
- 将该方法应用于土,纯种植和具有不同性质的土壤.
主要成果:
- 成功量化了四个N循环功能基因 (氨一氧化酶,酸减少酶,酸减少酶) 来自米土壤中可行的细菌和古生物.
- 证明了该方法在各种土壤条件中的适用性.
- 观察到矿物和有机肥对N循环基因的对比作用.
结论:
- PMA-qPCR是一种可靠的方法,用于量化土壤中可行的微生物群落.
- 肥料类型显著影响了土中的循环微生物基因的丰富性.
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