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Fig. 1.

Venn diagram of OTUs clustered at 97% sequence identity of microbiotas from Saba and Landrace piglets. The number of overlapping parts is the total number of OTUs between the groups, while the numbers in non-overlapping parts indicate the number of unique OTUs for each group. SB – Saba piglets, LA – Landrace piglets.
Venn diagram of OTUs clustered at 97% sequence identity of microbiotas from Saba and Landrace piglets. The number of overlapping parts is the total number of OTUs between the groups, while the numbers in non-overlapping parts indicate the number of unique OTUs for each group. SB – Saba piglets, LA – Landrace piglets.

Fig. 2.

Principal coordinate analysis (PCoA) illustrated bacterial community structures based on Bray-Curtis distances. On the PCoA plot, each color represents one group. Unweighted and weighted PCoA of β-diversity measures of all samples. PCOA1 (19.67%) and PCOA2 (13.63%).
Principal coordinate analysis (PCoA) illustrated bacterial community structures based on Bray-Curtis distances. On the PCoA plot, each color represents one group. Unweighted and weighted PCoA of β-diversity measures of all samples. PCOA1 (19.67%) and PCOA2 (13.63%).

Fig. 3.

Community composition of the jejunum microbial of Saba and Landrace piglets at the phylum (A) and genus (B) levels, respectively. Data are expressed as means + MSE, *p < 0.05.
Community composition of the jejunum microbial of Saba and Landrace piglets at the phylum (A) and genus (B) levels, respectively. Data are expressed as means + MSE, *p < 0.05.

Fig. 4.

Alteration of the relative abundance of bacteria in the Saba and Landrace piglets using linear discriminant analysis effect size (LEfSe). Each bar represents the log 10 effect size (LDA score) for a specific taxon. A longer bar represents a higher LDA score. Only taxa meeting an LDA significant threshold of 2 are shown. These taxa showed a statistically significant difference between the Saba and Landrace piglets (p < 0.05 by the Wilcoxon test); each color represents one group.p – phylum, c – class, o – order, f – family, and g – genus.
Alteration of the relative abundance of bacteria in the Saba and Landrace piglets using linear discriminant analysis effect size (LEfSe). Each bar represents the log 10 effect size (LDA score) for a specific taxon. A longer bar represents a higher LDA score. Only taxa meeting an LDA significant threshold of 2 are shown. These taxa showed a statistically significant difference between the Saba and Landrace piglets (p < 0.05 by the Wilcoxon test); each color represents one group.p – phylum, c – class, o – order, f – family, and g – genus.

Fig. 5.

A cladogram showed a comparison of the bacterial microbial profiles from Saba and Landrace piglets.p – phylum, c – class, o – order, f – family, and g – genus.
A cladogram showed a comparison of the bacterial microbial profiles from Saba and Landrace piglets.p – phylum, c – class, o – order, f – family, and g – genus.

Fig. 6.

Heatmap analysis of the correlation between microbiota and growth performance.
Heatmap analysis of the correlation between microbiota and growth performance.

Fig. 7.

KEGG enrichment analysis of the difference within groups at the L3 hierarchy.
KEGG enrichment analysis of the difference within groups at the L3 hierarchy.

Fig. 8.

Pearson’s correlation analysis of microorganisms and signal pathways in Saba and Landrace piglets. Heatmap analysis of the correlation between microorganisms and signal pathways. Correlations with p < 0.05 are shown. Blue represents a significant negative correlation (p < 0.05), red represents a significant positive correlation (p < 0.05), and white represents no significant correlation (p > 0.05). The number represents the value of R (p < 0.05).
Pearson’s correlation analysis of microorganisms and signal pathways in Saba and Landrace piglets. Heatmap analysis of the correlation between microorganisms and signal pathways. Correlations with p < 0.05 are shown. Blue represents a significant negative correlation (p < 0.05), red represents a significant positive correlation (p < 0.05), and white represents no significant correlation (p > 0.05). The number represents the value of R (p < 0.05).

Growth performance of Saba and Landrace piglets.

SBLA
Birth weight (kg)0.76 ± 0.20B1.99 ± 0.14A
Body weight (kg)4.69 ± 1.14B10.22 ± 0.57A
Average daily gain (kg)0.11 ± 0.03B0.24 ± 0.02A
Stem length (cm)37.00 ± 4.84B50.00 ± 2.27A
Height at withers (cm)22.75 ± 1.83B29.00 ± 1.6A
Chest measurement (cm)37.88 ± 3.48B48.38 ± 1.41A
Chest depth (cm)10.75 ± 0.71B14.38 ± 2.07A
Abdominal girth (cm)38.75 ± 3.85B49.50 ± 1.60A
Cannon circumference (cm)8.06 ± 0.56B10.13 ± 0.35A

Alpha diversity in jejunal microbiota between Saba and Landrace piglets.

LASBp value
Chao1 index229.04 ± 38.23242.85 ± 10.920.531
The observed_species index124.75 ± 24.27139.75 ± 36.570.520
PD_whole_tree13.31 ± 1.9817.76 ± 2.170.023
Shannon index2.84 ± 0.423.06 ± 0.890.671
Simpson index0.76 ± 0.0770.79 ± 0.0960.665
Goods_coverage0.998 ± 0.000150.999 ± 0.000240.149

MRPP of the 16S rRNA gene between Saba and Landrace piglets.

AObserve DeltaExpect DeltaSignificance
The weighted_unifrac0.03126998502417340.2766829870044870.285614136784429  0.102
The unweighted_unifrac0.03383530543520210.5515816682596760.5708981826417620.00

Description of the assembly results of jejunum microbiota from piglets.

Sample nameClean ReadsBases (bp)Q20 (%)Q30 (%)GC (%)Average length (bp)
LA-15827824288798    0.96020.88730.5229416
LA-25597523383577    0.95910.88550.5188417
LA-36239625557801    0.96960.90810.527409
LA-45656523778906    0.96140.89220.5365420
LA-55554722929087    0.96710.90540.5221412
LA-65633623469885    0.96120.89280.5234416
LA-757139237718480.960.89020.5332416
SB-16339326990140    0.96090.89170.5154425
SB-25595922667528    0.96970.91190.5271405
SB-36248425749078    0.96610.90350.5185412
SB-46152726100871    0.95940.88670.5117424
SB-55690724136231    0.96020.88970.5123424
SB-66340926890638  0.9580.88480.5496424
SB-75892023815087    0.96560.90290.5306404
SB-86014724637940    0.96260.89660.5253409
eISSN:
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Lingua:
Inglese
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4 volte all'anno
Argomenti della rivista:
Life Sciences, Microbiology and Virology