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Comparison of targeted metagenomics and IS-Pro methods for analysing the lung microbiome

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AbstractBackgroundTargeted metagenomics and IS-Pro method are two of the many methods that have been used to study the microbiome. The two methods target different regions of the 16 S rRNA gene. The aim of this study was to compare targeted metagenomics and IS-Pro methods for the ability to discern the microbial composition of the lung microbiome of COPD patients.MethodsSpontaneously expectorated sputum specimens were collected from COPD patients. Bacterial DNA was extracted and used for targeted metagenomics and IS-Pro method. The analysis was performed using QIIME2 (targeted metagenomics) and IS-Pro software (IS-Pro method). Additionally, a laboratory cost per isolate and time analysis was performed for each method.ResultsStatistically significant differences were observed in alpha diversity when targeted metagenomics and IS-Pro methods’ data were compared using the Shannon diversity measure (p-value = 0.0006) but not with the Simpson diversity measure (p-value = 0.84). Distinct clusters with no overlap between the two technologies were observed for beta diversity. Targeted metagenomics had a lower relative abundance of phyla, such as theProteobacteria, and higher relative abundance of phyla, such asFirmicuteswhen compared to the IS-Pro method.Haemophilus,PrevotellaandStreptococcuswere most prevalent genera across both methods. Targeted metagenomics classified 23 % (144/631) of OTUs to a species level, whereas IS-Pro method classified 86 % (55/64) of OTUs to a species level. However, unclassified OTUs accounted for a higher relative abundance when using the IS-Pro method (35 %) compared to targeted metagenomics (5 %). The two methods performed comparably in terms of cost and time; however, the IS-Pro method was more user-friendly.ConclusionsIt is essential to understand the value of different methods for characterisation of the microbiome. Targeted metagenomics and IS-Pro methods showed differences in ability in identifying and characterising OTUs, diversity and microbial composition of the lung microbiome. The IS-Pro method might miss relevant species and could inflate the abundance ofProteobacteria.However, the IS-Pro kit identified most of the important lung pathogens, such asBurkholderiaandPseudomonasand may work in a more diagnostics-orientated setting. Both methods were comparable in terms of cost and time; however, the IS-Pro method was easier to use.
Title: Comparison of targeted metagenomics and IS-Pro methods for analysing the lung microbiome
Description:
AbstractBackgroundTargeted metagenomics and IS-Pro method are two of the many methods that have been used to study the microbiome.
The two methods target different regions of the 16 S rRNA gene.
The aim of this study was to compare targeted metagenomics and IS-Pro methods for the ability to discern the microbial composition of the lung microbiome of COPD patients.
MethodsSpontaneously expectorated sputum specimens were collected from COPD patients.
Bacterial DNA was extracted and used for targeted metagenomics and IS-Pro method.
The analysis was performed using QIIME2 (targeted metagenomics) and IS-Pro software (IS-Pro method).
Additionally, a laboratory cost per isolate and time analysis was performed for each method.
ResultsStatistically significant differences were observed in alpha diversity when targeted metagenomics and IS-Pro methods’ data were compared using the Shannon diversity measure (p-value = 0.
0006) but not with the Simpson diversity measure (p-value = 0.
84).
Distinct clusters with no overlap between the two technologies were observed for beta diversity.
Targeted metagenomics had a lower relative abundance of phyla, such as theProteobacteria, and higher relative abundance of phyla, such asFirmicuteswhen compared to the IS-Pro method.
Haemophilus,PrevotellaandStreptococcuswere most prevalent genera across both methods.
Targeted metagenomics classified 23 % (144/631) of OTUs to a species level, whereas IS-Pro method classified 86 % (55/64) of OTUs to a species level.
However, unclassified OTUs accounted for a higher relative abundance when using the IS-Pro method (35 %) compared to targeted metagenomics (5 %).
The two methods performed comparably in terms of cost and time; however, the IS-Pro method was more user-friendly.
ConclusionsIt is essential to understand the value of different methods for characterisation of the microbiome.
Targeted metagenomics and IS-Pro methods showed differences in ability in identifying and characterising OTUs, diversity and microbial composition of the lung microbiome.
The IS-Pro method might miss relevant species and could inflate the abundance ofProteobacteria.
However, the IS-Pro kit identified most of the important lung pathogens, such asBurkholderiaandPseudomonasand may work in a more diagnostics-orientated setting.
Both methods were comparable in terms of cost and time; however, the IS-Pro method was easier to use.

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