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. 2015 Jul 31:6:781.
doi: 10.3389/fmicb.2015.00781. eCollection 2015.

Associative patterns among anaerobic fungi, methanogenic archaea, and bacterial communities in response to changes in diet and age in the rumen of dairy cows

Affiliations

Associative patterns among anaerobic fungi, methanogenic archaea, and bacterial communities in response to changes in diet and age in the rumen of dairy cows

Sanjay Kumar et al. Front Microbiol. .

Abstract

The rumen microbiome represents a complex microbial genetic web where bacteria, anaerobic rumen fungi (ARF), protozoa and archaea work in harmony contributing to the health and productivity of ruminants. We hypothesized that the rumen microbiome shifts as the dairy cow advances in lactations and these microbial changes may contribute to differences in productivity between primiparous (first lactation) and multiparous (≥second lactation) cows. To this end, we investigated shifts in the ruminal ARF and methanogenic communities in both primiparous (n = 5) and multiparous (n = 5) cows as they transitioned from a high forage to a high grain diet upon initiation of lactation. A total of 20 rumen samples were extracted for genomic DNA, amplified using archaeal and fungal specific primers, sequenced on a 454 platform and analyzed using QIIME. Community comparisons (Bray-Curtis index) revealed the effect of diet (P < 0.01) on ARF composition, while archaeal communities differed between primiparous and multiparous cows (P < 0.05). Among ARF, several lineages were unclassified, however, phylum Neocallimastigomycota showed the presence of three known genera. Abundance of Cyllamyces and Caecomyces shifted with diet, whereas Orpinomyces was influenced by both diet and age. Methanobrevibacter constituted the most dominant archaeal genus across all samples. Co-occurrence analysis incorporating taxa from bacteria, ARF and archaea revealed syntrophic interactions both within and between microbial domains in response to change in diet as well as age of dairy cows. Notably, these interactions were numerous and complex in multiparous cows, supporting our hypothesis that the rumen microbiome also matures with age to sustain the growing metabolic needs of the host. This study provides a broader picture of the ARF and methanogenic populations in the rumen of dairy cows and their co-occurrence implicates specific relationships between different microbial domains in response to diet and age.

Keywords: anaerobic fungi; co-occurrence; diet; methanogenic archaea; microbiome; rumen.

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Figures

FIGURE 1
FIGURE 1
Changes in anaerobic rumen fungi (ARF) and methanogenic archaeal richness, species diversity, and OTUs. Boxes represent the interquartile range (IQR) between the first and third quartiles (25th and 75th percentiles, respectively), and the horizontal line inside the box defines the median. Whiskers represent the lowest and highest values within 1.5 times the IQR from the first and third quartiles, respectively. D1, diet with 80% forage; D2, diet with 50% forage; Pp, primiparous cows and Mp, multiparous cows; ARF, anaerobic rumen fungi.
FIGURE 2
FIGURE 2
Principal coordinate analysis (PCoA) based on Bray-Curtis distances (A) ARF, (B) Methanogenic Archaea. Sample identifiers are same as used in Figure 1.
FIGURE 3
FIGURE 3
Phylogenetic composition of (A) anaerobic fungi and (B) Methanogenic Archaea based on study group and diet. Sample identifiers are same as used in Figure 1.
FIGURE 4
FIGURE 4
Analysis of co-occurrence among microbial lineages scored using the Dice index (A) diet D1, (B) diet D2, (C) primiparous cows, and (D) multiparous cows. Dice indexes across all genera for bacteria and archaea pairs present at a proportion = 0.01 and for fungi at a proportion = 0.001 are shown as a heatmap. Co-occurrence is shown by the color code (navy blue: high co-occurrence, sky blue: moderate co-occurrence; green: low co-occurrence) at the bottom. Sample identifiers are same as used in Figure 1.

References

    1. Akin D., Borneman W., Windham W. (1988). Rumen fungi: morphological types from Georgia cattle and the attack on forage cell walls. Biosystems 21 385–391. 10.1016/0303-2647(88)90037-8 - DOI - PubMed
    1. Anderson M. J. (2001). A new method for non-parametric multivariate analysis of variance. Austral Ecol. 26 32–46.
    1. Belanche A., De La Fuente G., Newbold C. J. (2014). Study of methanogen communities associated with different rumen protozoal populations. FEMS Microbiol. Ecol. 90 663–677. 10.1111/1574-6941.12423 - DOI - PMC - PubMed
    1. Boots B., Lillis L., Clipson N., Petrie K., Kenny D., Boland T., et al. (2013). Responses of anaerobic rumen fungal diversity (phylum Neocallimastigomycota) to changes in bovine diet. J. Appl. Microbiol. 114 626–635. 10.1111/jam.12067 - DOI - PubMed
    1. Caporaso J. G., Bittinger K., Bushman F. D., Desantis T. Z., Andersen G. L., Knight R. (2010a). PyNAST: a flexible tool for aligning sequences to a template alignment. Bioinformatics 26 266–267. 10.1093/bioinformatics/btp636 - DOI - PMC - PubMed

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