Fig 1.
Percentage of zero values in data by genetic line.
SCS+ and SCS- as somatic cell score lines susceptibility/resistance, and PERS+ and PERS- as milk persistency line high/low persistence.
Fig 2.
Sparse partial least squares discriminant analysis between divergent somatic cell score (SCS) lines.
SCS+: ewes selected for high somatic cell score i.e. susceptible to mastitis; SCS-: ewes selected for low somatic cell score i.e. resistant to mastitis.
Table 1.
Loading values per OTU with genus affiliation, associated genetic line and percentage of abundance, for the two first components from the somatic cell score (SCS) line sparse partial least squares discriminant analysis.
Fig 3.
Sparse partial least squares discriminant analysis between divergent milk persistency (PERS) lines.
PERS+: ewes selected for a high milk persistence; PERS-: ewes selected for a low milk persistence.
Table 2.
Loading values per OTU with genus affiliation, associated genetic line and percentage of abundance, for the two first components from the milk persistency (PERS) line sparse partial least squares discriminant analysis.
Fig 4.
A correlation matrix heatmap between bacterial taxa and milk traits.
OTUs selected by the 2 first components of the sparse least squares analysis; daily milk production (MP), somatic cell score (SCS), daily milk protein contents (PC), daily milk fat content (FC), milk fatty acids (butyric acid (C4:0), caproic acid (C6:0), caprylic acid (C8:0), capric acid (C10:0), lauric acid (C12:0), palmitic acid (C16:0), oleic acid (cis-9 C18:1), conjugated linoleic acid (cis-9 trans-11 C18:2) and α-linoleic acid (C18:3n-3), expressed as % of total fatty acids) and milk proteins, as casein (CN) (αs1-CN, αs2-CN, β-CN, κ-CN, expressed as % of total proteins), and soluble proteins (α-lactalbumin and β-lactoglobulin, expressed as % of total proteins).