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1.
Genet Mol Res ; 15(3)2016 Aug 19.
Artigo em Inglês | MEDLINE | ID: mdl-27706585

RESUMO

To accomplish the rapid start-up and stable operation of biogas digesters, an efficient inoculum is required. To obtain such an inoculum for food waste anaerobic digestion, we domesticated dairy manure anaerobic digestion residue by adding food waste every day. After 36 days, the pH and biogas yield stabilized signifying the completion of domestication. During domestication, the microbial communities in the inocula were investigated by constructing 16S rDNA clone libraries. We evaluated the effect of the domesticated inoculum by testing batch food waste anaerobic digestion with a non-domesticated inoculum as a control. The pH and methane yield of the digestion systems were determined as measurement indices. Domestication changed the composition and proportion of bacteria and archaea in the inocula. Of the bacteria, Clostridia (49.3%), Bacteroidales (19.5%), and Anaerolinaceae (8.1%) species were dominant in the seed sludge; Anaerolinaceae (49.0%), Clostridia (28.4%), and Bacteroidales (9.1%), in domestication sludge. Methanosaeta was the dominant genus in both of the seed (94.3%) and domestication (74.3%) sludge. However, the diversity of methanogenic archaea was higher in the domestication than in seed sludge. Methanoculleus, which was absent from the seed sludge, appeared in the domestication sludge (21.7%). When the domesticated inoculum was used, the digestion system worked stably (organic loading rate: 20 gVS/L; methane yield: 292.2 ± 9.8 mL/gVS; VS = volatile solids), whereas the digestion system inoculated with seed sludge failed to generate biogas. The results indicate that inoculum domestication ensures efficient and stable anaerobic digestion by enriching the methanogenic strains.


Assuntos
Esterco/microbiologia , Consórcios Microbianos/genética , RNA Ribossômico 16S/genética , Animais , Técnicas de Cultura Celular por Lotes , Biocombustíveis , Bovinos , Clostridiales/genética , Clostridiales/crescimento & desenvolvimento , Clostridiales/metabolismo , Concentração de Íons de Hidrogênio , Metano/biossíntese , Methanosarcinales/genética , Methanosarcinales/crescimento & desenvolvimento , Methanosarcinales/metabolismo , Tipagem Molecular , Filogenia , Resíduos
2.
Genet Mol Res ; 13(3): 7029-36, 2014 Mar 26.
Artigo em Inglês | MEDLINE | ID: mdl-24737518

RESUMO

Transcriptomic research based on RNA sequencing (RNA-seq) technology is innovative and will provide new opportunities and biological perspectives for the use of ion-beam implantation in plants. Using RNA-seq, transcriptomes of whole rice seedlings generated from seeds implanted with a low-energy N+ beam were analyzed 96 h after planting. We identified 544 transcripts that were differentially expressed genes (DEGs) in the non-growth-inhibited sample implanted by an N+ beam, including 262 upregulated transcripts and 282 downregulated transcripts. Next, 776 transcripts were identified as DEGs in significantly damaged and growth-inhibited rice seedlings induced by N+ beam implantation, including 283 upregulated transcripts and 493 downregulated transcripts. The Gene Ontology (GO) analysis showed that 19 downregulated DEGs in the injured rice seedlings are enriched for the biological process GO term photosynthesis. The Kyoto Encyclopedia of Genes and Genomes pathway analysis also showed that 11 downregulated DEGs related to chlorophyll a/b-binding proteins are statistically significantly enriched in the photosynthesis-antenna protein pathway (Pathwayid: map00196). This result suggested that the downregulated and injured photosynthesis system contributed to the growth inhibition of rice seedlings induced by low-energy N+ beam implantation.


Assuntos
Regulação da Expressão Gênica de Plantas/efeitos da radiação , Oryza/fisiologia , Oryza/efeitos da radiação , Fotossíntese/genética , Fotossíntese/efeitos da radiação , Radiação Ionizante , Plântula/genética , Plântula/efeitos da radiação , Biologia Computacional , Regulação para Baixo , Perfilação da Expressão Gênica , Genoma de Planta , Germinação , Redes e Vias Metabólicas , Anotação de Sequência Molecular , Raízes de Plantas , Característica Quantitativa Herdável , Análise de Sequência de RNA , Transcriptoma
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