Search bioRxiv⌕ Search

bioRxiv · 10.1101/2020.02.21.960500

Dynamic Changes in Fecal Bacterial Microbiota of Dairy Cattle across the Production Line

Abstract

Bacteria play important roles in the gastrointestinal tract (GIT) of dairy cattle as the communities are responsible for host health, growth and production performance. However, a systematic characterization and comparison of microbial communities in the GIT of cattle housed in different management units on a modern dairy are still lacking. In this study, we used 16S rRNA sequencing to evaluate the fecal bacterial communities of 90 dairy cattle raised and housed in 12 clearly defined management units on a modern dairy farm. We found that -diversity differed between several pairs of management units, especially between the hutch calves (management unit 1) and the other units except post weaned heifers (management unit 2). Although {beta}-diversity revealed that most of the samples did not cluster according to their management unit membership except management unit 1, in which the samples grouped and separated from others, we observed three major clusters. Besides the hutch calves (management unit 1), most samples from the other 11 units formed two distinct clusters and the relative abundance of Patescibacteria might be the reason for the separation. Moreover, we identified 212 amplicon sequence variants (ASVs) with relative abundances > 0.1% in more than 10% of the total samples that had significantly different abundances in these units. Furthermore, we found that, as the calves aged, 19 ASVs that were exclusively detected in unit 1, gradually degraded and never reoccurred in other management units. Lastly, we recognized 181 pairs of interactions between 61 ASVs with possibly strong synergistic or antagonistic relationships. These results suggest the enteric microbial communities of dairy cattle housed in different management units are quite dynamic. IMPORTANCEBacterial communities of GIT are crucial for ruminants, such as dairy cattle since they contribute to not only the cattles physiology and health but also milk production and food safety that are closely related to human health. Both scientifically and agriculturally, it is necessary to have deep insights into the composition and changes of the bacteria on modern dairy farms. In this study, we provided the profiles of fecal bacterial communities of dairy cattle in each management unit on a modern dairy and described how the enteric microbial communities changed across these management units. The findings have implications for improving animal health, dairy production, farm management, and food safety.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Zhao, L., Li, X., Atwill, E. R., Aly, S., Williams, D. R., Rossitto, P., Su, Z.. 2020-02-25. Dynamic Changes in Fecal Bacterial Microbiota of Dairy Cattle across the Production Line. https://doi.org/10.1101/2020.02.21.960500

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Genomic analysis of the Streptococcus anginosus group; taxonomic implications, evolutionary insights and clinical considerations

Background: The Streptococcus anginosus group (SAG) (S. anginosus, S. intermedius, and S. constellatus) causes serious, potentially life-threatening, invasive infections, often in otherwise healthy individuals. However, the group's diversity is still poorly understood, and with it, the ability to identify prognostic markers of severe disease. Methods: Long-read sequencing produced closed genomes for 29 isolates from 25 patients hospitalised primarily for invasive SAG infections, and 21 isolates from 20 non-hospitalised controls. Genomes were classified with GTDB-Tk and combined with 211 reference genomes. After dereplication, 207 SAG genomes (38 isolate, 169 reference) representing 206 strains were analysed using: GTDB classification, average nucleotide identity, multi-marker and core-genome SNP phylogenies, recombination-aware analyses, mobilome, CAZyme and gapseq metabolic profiling, and lineage-aware genome-wide association testing for invasive phenotype. Results: Agreement between GTDB-Tk and MALDI-TOF taxonomic classifications was low (42.8%), including two S. massiliensis cases mis-identified by MALDI-TOF as SAG. S. anginosus resolved into four taxa (S. anginosus, S. hominis, S. whileyi and S. vaginalis). Phylogenies based on core genome single-nucleotide polymorphisms resolved these species into distinct clades, whereas 16S rRNA gene and multilocus sequence analysis phylogenies did not. The four ex-S. anginosus taxa showed a gradient of genomic cohesion, with S. vaginalis being near-clonal, in contrast to S. anginosus, which shared high levels of sequence ancestry with other neighbouring taxa. Carbohydrate utilisation was strongly lineage-associated, as was propensity for invasive disease. A ~15Kbp glycosaminoglycan utilisation locus was found in the three taxa of highest disease severity propensity (S. intermedius, S. constellatus, S. whileyi) which predicts a direct host glycosaminoglycan feeding mechanism that may contribute to invasive disease. No single functional feature, gene or core-genome SNP was associated with invasiveness however after lineage-adjustment. Combined feature analysis suggests S. vaginalis has undergone a niche restriction and has evolved for a primary existence in the female urogenital tract. Conclusions: Under-reported species may be mis-diagnosed as SAG invasive infections. SAG is more diverse than its current three-species definition, with the conventional S. anginosus species proposed to be classed into a complex of four distinct taxa. Invasive capacity appears to be an emergent system-level property rather than from individual features.

microbiology↗

Cell-scale confinement reorders bacterial speed rankings

Which bacterium swims fastest depends on where the race is run. Speeds are usually measured in open liquid, yet many bacteria live in pores, mucus and host passages no wider than a cell. Using a microfluidic device with eight channel widths (0.80-3.00 m) in one field of view, we tracked unlabeled cells of eight species spanning five motility systems. Chamber height, a polymer additive and channel width each reordered the ranking. Vibrio alginolyticus, the fastest in open liquid, slowed to ~4 m/s in 1.25-m channels, whereas Campylobacter jejuni and Bacillus subtilis kept 33-46 m/s. Open liquid speed did not predict robustness to confinement. In two unrelated lineages, host symbionts that pass through narrow passages during colonization, Caballeronia insecticola and Vibrio fischeri, outran their non-symbiotic relatives in the channels, and crossed them with flagella wrapped around the cell body at nearly the speed of unwrapped cells. Where space is tight, the ability to keep moving, not top speed, sets the ranking.

microbiology↗

The biochemical composition of coronavirus Nucleocapsid proteins drives the bicistronic properties of their sub-genomic mRNAs

The nucleocapsid (N) gene of coronaviruses (CoVs) encodes a structural RNA-binding protein required for viral assembly. In SARS- and MERS-CoV viruses, reading frame 2 of N contains an overlapping open reading frame (ORF) encoding an innate immune antagonist accessory protein. However, the extent of this dual coding capacity across the CoV family, and the genetic features driving overlapping ORF formation, remain unexamined. Here, we developed an in-silico tool (ORFan) to screen structural gene sub-genomic mRNA sequences from 152 species of coronavirus for the presence of overlapping accessory gene candidates. We found that frame 2 of the N gene in Alpha-, Beta- and Delta-CoVs frequently contains a potential accessory ORF (AcORF), conserved at the subgenus level, unlike the spike, envelope and membrane genes. We also show that CoV nucleotide biases in conjunction with codon biases integral to N protein function drive the relatively high abundances of start codons in frame two and stop codons in frame three, explaining the tendency towards frame 2 AcORFs. We further suggest that viral nucleotide biases and the codon composition required for RNA-binding function facilitate overlapping ORF formation in other virus families

microbiology↗