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Designing specific bacterial 16S primers to sequence and quantitate plant endo-bacteriome 被引量:3
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作者 Liying Chen Mengting Zhang +6 位作者 Da Liu Hongbo Sun Jianxiang Wu Yan Huo Xiaoying Chen Rongxiang Fang Lili Zhang 《Science China(Life Sciences)》 SCIE CAS CSCD 2022年第5期1000-1013,共14页
Plant endophytic bacteria colonize the internal tissues of plants and interact with plants closely.The past two decades have witnessed the increasing application of next-generation 16S r RNA gene sequencing in the inv... Plant endophytic bacteria colonize the internal tissues of plants and interact with plants closely.The past two decades have witnessed the increasing application of next-generation 16S r RNA gene sequencing in the investigation of bacterial communities.However,deciphering plant endo-bacterial communities by this method is difficult because of the co-amplification of massive plant organellar DNAs with bacterial 16S.Here,we designed polymerase chain reaction(PCR) primer sets,including799F/1107R,322F/796R,and 322F-Dr/796Rs(primer pair 322F/796R with a penultimate-base substitution in 322F),that can specifically amplify bacterial 16S from plant total DNAs.We computationally and experimentally evaluated the specificity,coverage,and accuracy of the newly designed primer sets.Both 799F/1107R and 322F-Dr/796Rs produced plant DNA-free 16S amplicon libraries or reduced plant DNA contamination to lower than 5% for the plant materials with extremely-low-abundance bacterial communities.The primer set 322F-A/796R was used through absolute quantitative PCR to quantitate the population size of rice leaf or root endo-bacteriome,which revealed 10^(6)–10^(7) and 10^(9)–10^(10) bacteria per gram fresh weight,respectively.These 16S primer sets and amplification methods enable the simple and inexpensive next-generation sequencing and quantification of plant endo-bacteriome,which will significantly advance studies on the plant-related microbiome. 展开更多
关键词 plant endo-bacteriome plant DNA-free amplification 16S rRNA gene next-generation sequencing absolute quantification
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