当前位置: X-MOL 学术Biol. Fertil. Soils › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Characterization of maize root microbiome in two different soils by minimizing plant DNA contamination in metabarcoding analysis
Biology and Fertility of Soils ( IF 5.1 ) Pub Date : 2021-04-09 , DOI: 10.1007/s00374-021-01555-3
Ernest B. Aliche , Warner Talsma , Teun Munnik , Harro J. Bouwmeester

A micropore-filtration method was used to reduce the proportion of plant DNA in microbial DNA samples isolated from roots prior to sequencing. We tested the impact of this pre-sequencing filtration methodology and used it to characterize the root microbiome of maize grown on two soils with different fertility levels. The micropore filtration reduced plant DNA contamination and unveiled potential in the N-poor soil for N fixation in roots and phosphate uptake by roots in the phosphate-poor soil. Our methodology and findings allude to the potential capability of plants to initiate plant-microbe interactions under sub-optimal soil fertility.



中文翻译:

通过最大条形码分析中的植物DNA污染最小化来表征两种不同土壤中玉米根系微生物组的特性

在测序之前,使用微孔过滤方法减少从根中分离出的微生物DNA样品中植物DNA的比例。我们测试了这种前序过滤方法的影响,并用它来表征了在两种肥力水平不同的土壤上生长的玉米根部微生物组的特征。微孔过滤减少了植物DNA的污染,并揭示了在贫氮土壤中根部固氮和缺磷土壤中根部吸收磷的潜力。我们的方法论和发现暗示了植物在次佳土壤肥力下引发植物与微生物相互作用的潜在能力。

更新日期:2021-04-09
down
wechat
bug