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LC Sciences the microbiome data analysis pipeline
Correlation analysis between the root <t>microbiome</t> and metabolome at the late storage time point reveals a distinct pattern in the two highly resistant genotypes vs. the susceptible genotype. ( A ) Susceptible genotype (Sus_Ck); ( B ) resistant genotype, KSG4; and ( C ) resistant genotype, KSG6. Data are mean ± standard error of 4 replicates (each replicate consists of samples obtained from two roots). An ‘X’ sign inside the rectangular boxes in the heatmap indicates p < 0.05.
The Microbiome Data Analysis Pipeline, supplied by LC Sciences, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Correlation analysis between the root microbiome and metabolome at the late storage time point reveals a distinct pattern in the two highly resistant genotypes vs. the susceptible genotype. ( A ) Susceptible genotype (Sus_Ck); ( B ) resistant genotype, KSG4; and ( C ) resistant genotype, KSG6. Data are mean ± standard error of 4 replicates (each replicate consists of samples obtained from two roots). An ‘X’ sign inside the rectangular boxes in the heatmap indicates p < 0.05.

Journal: International Journal of Molecular Sciences

Article Title: Root Microbiome and Metabolome Traits Associated with Improved Post-Harvest Root Storage for Sugar Beet Breeding Lines Under Southern Idaho Conditions

doi: 10.3390/ijms252312681

Figure Lengend Snippet: Correlation analysis between the root microbiome and metabolome at the late storage time point reveals a distinct pattern in the two highly resistant genotypes vs. the susceptible genotype. ( A ) Susceptible genotype (Sus_Ck); ( B ) resistant genotype, KSG4; and ( C ) resistant genotype, KSG6. Data are mean ± standard error of 4 replicates (each replicate consists of samples obtained from two roots). An ‘X’ sign inside the rectangular boxes in the heatmap indicates p < 0.05.

Article Snippet: The metagenomic reads obtained from the 16S sequencing were processed using the microbiome data analysis pipeline from LC Sciences (Houston, TX, USA).

Techniques: