Hi everyone,

I am facing a difficulty with some of the analysis and I would like to ask for a help. I have collected fecal samples from cows (mother) and their calves to measure the viable bacterial cell count (CFU) and microbial diversity (shannon and bray curtis) of each sample. Next, I want to investigate the correlation between CFU and shannon index. Therefore, I have done qiime2 longitudinal linear mixed effects model to see the relationship. Below is the code I used:

qiime longitudinal linear-mixed-effects

--m-metadata-file sample-metadata.tsv

--m-metadata-file core-metrics-results/shannon_vector.qza

--p-metric shannon_entropy

--p-group-columns Age

--p-state-column CTX_CFU

--p-individual-id-column Animal_ID

--o-visualization linear/linear-ctx-cfu-shannon.qzv

Age is where I categorized into mother or calf (fixed effects). CTX_CFU is the numeric variable (dependent variable) where I have entered CFU for each sample in the metadata. Below is the screenshot of the result.

I am still new to this field and I am not sure whether I have done the appropriate analysis to investigate the correlation between the 2 variables. If there is other type of analysis that is appropriate to answer this question, please let me know. Also is the graph in the second picture is suitable to use for honours thesis in the result section?

Thanks!