E G Olson, D K Dittoe, A C Micciche, D A Stock, P M Rubinelli, Michael J Rothrock, S C Ricke
{"title":"Microbiome analyses of poultry feeds: Part II. Comparison of different poultry feeds.","authors":"E G Olson, D K Dittoe, A C Micciche, D A Stock, P M Rubinelli, Michael J Rothrock, S C Ricke","doi":"10.1080/03601234.2024.2361596","DOIUrl":null,"url":null,"abstract":"<p><p>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 <i>p</i> < 0.05 and <i>Q</i> < 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 <i>Helicobacter</i> and <i>Campylobacter</i>. Probiotic-associated feeds exhibited distinct microbial communities, emphasizing the need to explore their impact on the early poultry gastrointestinal tract (GIT) further.</p>","PeriodicalId":15720,"journal":{"name":"Journal of Environmental Science and Health Part B-pesticides Food Contaminants and Agricultural Wastes","volume":" ","pages":"448-482"},"PeriodicalIF":1.4000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Science and Health Part B-pesticides Food Contaminants and Agricultural Wastes","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1080/03601234.2024.2361596","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/5 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
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.
在家禽饲料厂的运营中,微生物饲料质量问题一直备受关注,因此有必要为提高和维持商业饲料的标准建立一个可靠的基准。这项调查分为两个阶段,第一部分已经发表,目前的研究是第二部分,旨在利用 16S rRNA 基因测序阐明这一基线。在第二部分中,九种不同的商业家禽饲料被配制成开胃料、生长料、开胃料/生长料或补充料,所选饲料经过基因组 DNA 提取、定制的双索引引物扩增以及随后的 Illumina MiSeq 测序。通过在 QIIME2-2021.4 和 R Studio 中进行数据分析,该研究揭示了α(Kruskal-Wallis)和β(ANOSIM)多样性、分类差异(ANCOM)和核心微生物组(core_members),认为主效应和配对效应在 Q 型螺旋杆菌和弯曲杆菌的 p 值上具有统计学意义。与益生菌相关的饲料表现出不同的微生物群落,强调了进一步探索其对早期家禽胃肠道(GIT)影响的必要性。