Results 141 to 150 of about 5,063 (236)

Comparative metagenomic and metatranscriptomic analyses reveal the breed effect on the rumen microbiome and its associations with feed efficiency in beef cattle

Microbiome, 2019
Background Microorganisms are responsible for fermentation within the rumen and have been reported to contribute to the variation in feed efficiency of cattle.
Fuyong Li, Thomas C. A. Hitch, Yanhong Chen, Christopher J. Creevey, Le Luo Guan   +4 more
doaj   +1 more source

The microbiome and metatranscriptome of a panel from the Sarracenia mapping population reveal complex assembly and function involving host influence

Frontiers in Plant Science
Sarracenia provide an optimal system for deciphering the host-microbiome interactions at various levels. We analyzed the pitcher microbiomes and metatranscriptomes of the parental species, and F1 and F2 generations from the mapping population (Sarracenia
Jiazhang Cai, Iqra Mohsin, Willie Rogers, Mengrui Zhang, Lin Jiang, Russell Malmberg, Magdy Alabady   +6 more
doaj   +1 more source

Forest floor community metatranscriptomes identify fungal and bacterial responses to N deposition in two maple forests

Frontiers in Microbiology, 2015
Anthropogenic N deposition alters patterns of C and N cycling in temperate forests, where forest floor litter decomposition is a key process mediated by a diverse community of bacteria and fungi.
C. Hesse, Rebecca C. Mueller, M. Vuyisich, L. Gallegos-Graves, C. Gleasner, D. Zak, C. Kuske   +6 more
semanticscholar   +1 more source

Hierarchical clustering of samples across salinity.

, 2015
Dendrogram and heatmap of a) metagenomes and b) metatranscriptomes based on the normalized abundance of COG functions. Heatmaps depict the top twenty-five most abundant COGs.
Byron C. Crump (239884), Caroline S. Fortunato (822259)   +1 more
core   +1 more source

Bioinformatic methods for the analysis and comparison of metagenomes and metatranscriptomes [PDF]

, 2014
Ander C. Bioinformatic methods for the analysis and comparison of metagenomes and metatranscriptomes. Bielefeld: Universitätsbibliothek Bielefeld; 2014.Microbial communities play an important role in the whole life of planet earth.
Ander, Christina
core  

Metatranscriptomic Sequencing of Winter and Spring Planktonic Communities from Lake Erie, a Laurentian Great Lake [PDF]

, 2022
Previous reports suggest planktonic and under-ice winter microbial communities in Lake Erie are dominated by diatoms. Here, we report the assembled metatranscriptomes of 79 Lake Erie surface water microbial communities spanning both the winter (28 ...
Zastepa, Arthur, Frenken, Thijs, Wilhelm , Steven W., Peck, Daniel H., Denison, Elizabeth R., Pennacchio, Christa P., Bullerjahn, George S., Anderson, James T., Zepernick , Brittany N., Chaffin, Justin D., McKay, R. L.Michael, Niles, Derek   +11 more
core  

Mining microbial metatranscriptomes for expression of antibiotic resistance genes under natural conditions

Scientific Reports, 2015
Antibiotic resistance genes are found in a broad range of ecological niches associated with complex microbiota. Here we investigated if resistance genes are not only present, but also transcribed under natural conditions.
Dennis Versluis, M. D'Andrea, J. Ramiro-García, Milkha M. Leimena, F. Hugenholtz, Jing Zhang, Başak Öztürk, L. Nylund, D. Sipkema, W. van Schaik, W. D. de Vos, M. Kleerebezem, H. Smidt, M. V. van Passel   +13 more
semanticscholar   +1 more source

Metatranscriptomics of the human gut microbiome [PDF]

Genome Biology, 2011
Our ‘other’ genome is the collective genetic information in all of the microorganisms that are living on and within us. Collectively known as the microbiome, these microbial cells outnumber human cells in the body by more than 10 to 1, and the genes carried by these organisms outnumber the genes in the human genome by more than 100 to 1.
openaire   +1 more source

Metadata for stations sampled in the ARP.

, 2016
Measurements taken in conjunction with the metatranscriptomes are listed here. Asterisks highlight where concentration of the variable was below limit of detection.
Rachel A. Foster (3106407), Joseph P. Montoya (3106422), Victoria J. Coles (3106419), John H. Paul (270613), John P. McCrow (126244), Raleigh R. Hood (3106392), Byron C. Crump (239884), Christa B. Smith (3106398), Mary Doherty (3106395), Brian L. Zielinski (3106401), Edward J. Carpenter (603534), Patricia L. Yager (3106416), Ahmed Moustafa (87891), Brandon M. Satinsky (3106410), Helga R. Gomes (3106404), Shalabh Sharma (3106413), Andrew E. Allen (153291), Joaquim I. Goes (760729)   +17 more
core   +1 more source

Taxonomic changes across the salinity gradient.

, 2015
Bar charts represent the taxonomic changes seen in a) 16S sequences identified from metagenomes, b) COG annotated sequences from metagenomes, and c) COG annotated sequences from metatranscriptomes.
Byron C. Crump (239884), Caroline S. Fortunato (822259)   +1 more
core   +1 more source