Microbiome analyses of poultry feeds: Part I. Comparison of five different DNA extraction methods.

Given extensive variability in feed composition, the absence of a dedicated DNA extraction kit for poultry feed underscores the need for an optimized extraction technique for reliable downstream sequencing analyses. This study investigates the impact of five DNA extraction techniques: Qiagen QIAamp DNA Stool Mini Kit (Qiagen), modified Qiagen with Lysing Matrix B (MQ), modified Qiagen with celite purification (MQC), polyethylene glycol (PEG), and 1-Day Direct. Genomic DNA amplification and Illumina MiSeq sequencing were conducted. QIIME2-2021.4 facilitated data analysis, revealing significant diversity and compositional differences influenced by extraction methods. Qiagen exhibited lower evenness and richness compared to other methods. 1-Day Direct and PEG enhanced bacterial diversities by employing bead beating and lysozyme. Despite similar taxonomic resolution, the Qiagen kit provides a rapid, consistent method for assessing poultry feed microbiomes. Modified techniques (MQ and MQC) improve DNA purification, reducing bias in commercial poultry feed samples. PEG and 1-Day Direct methods were effective but may require standardization. Overall, this study underscores the importance of optimized extraction techniques in poultry feed analysis, with potential implications for future standardization of effective methods.

Microbiome analyses of poultry feeds: Part II. Comparison of different poultry feeds.

Within the realm of poultry feed mill operations, the persistent concern over microbial feed quality necessitates the establishment of a robust baseline for enhancing and sustaining the standards of commercial feeds. This dual-phase investigation, comprising Parts I, was previously published, and the current study presented here as Part II aimed to illuminate this baseline using 16S rRNA gene sequencing. In Part II, nine distinct commercial poultry feeds formulated as starters, growers, starter/growers, or supplements, the selected feeds underwent genomic DNA extraction, amplification with custom dual-indexed primers, and subsequent Illumina MiSeq sequencing. Through data analysis in QIIME2-2021.4 and R Studio, the study unveils alpha (Kruskal-Wallis) and beta (ANOSIM) diversity, taxonomic differences (ANCOM), and core microbiomes (core_members), deeming main and pairwise effects statistically significant at p < 0.05 and Q < 0.05. Notably, the investigation identified 30% common core microbial members across the nine feed types, shedding light on potential foodborne poultry pathogens such as Helicobacter and Campylobacter. Probiotic-associated feeds exhibited distinct microbial communities, emphasizing the need to explore their impact on the early poultry gastrointestinal tract (GIT) further.

Campylobacter jejuni and casein hydrolysate addition: Impact on poultry in vitro cecal microbiota and metabolome.

This study investigates the impact of casein hydrolysates on the poultry ceca inoculated with Campylobacter focusing on microbial molecular preferences for different protein sources in the presence of Campylobacter jejuni. Three casein sources (intact casein (IN), casein enzyme hydrolysate (EH), and casein acid hydrolysate (AH)) were introduced to cecal contents in combination with inoculated C. jejuni in an in vitro model system incubated for 48 h at 42°C under microaerophilic conditions. Samples were collected at 0, 24, and 48 h. Genomic DNA was extracted and amplified using custom dual-indexed primers, followed by sequencing on an Illumina MiSeq platform. The obtained sequencing data were then analyzed via QIIME2-2021.11. Metabolite extracts were analyzed with ultra-high-performance liquid orbitrap chromatography-mass spectrometry (UHPLC-MS). Statistical analysis of metabolites was conducted using MetaboAnalyst 5.0, while functional analysis was performed using Mummichog 2.0 with a significance threshold set at P < 0.00001. DNA sequencing and metabolomic analyses revealed that C. jejuni was most abundant in the EH group. Microbial diversity and richness improved in casein supplemented groups, with core microbial differences observed, compared to non-supplemented groups. Vitamin B-associated metabolites significantly increased in the supplemented groups, displaying distinct patterns in vitamin B6 and B9 metabolism between EH and AH groups (P < 0.05). Faecalibacterium and Phascolarctobacterium were associated with AH and EH groups, respectively. These findings suggest microbial interactions in the presence of C. jejuni and casein supplementation are influenced by microbial community preferences for casein hydrolysates impacting B vitamin production and shaping competitive dynamics within the cecal microbial community. These findings underscore the potential of nutritional interventions to modulate the poultry GIT microbiota for improved health outcomes.