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1 n of fecal SCFAs, bile acids, and functional microbial genes.
2 oli and/or changes in expression of specific microbial genes.
3 ines incorporating tumor sequences linked to microbial genes.
4 o predicting the functions of new classes of microbial genes.
5                                              Microbial gene abundance analysis revealed 127 genes inc
6                   Based on mass balances and microbial gene abundance data, we determined that much o
7    However, there was a wide array of shared microbial genes among sampled individuals, comprising an
8 ite the growing interest to explore untapped microbial gene and protein diversity, no single platform
9  explore the transport and transformation of microbial genes and cells through Earth's Critical Zone.
10 e positions of mononucleotide repeats within microbial genes and detect a pervasive bias in the locat
11 vertheless, associations between microbes or microbial genes and human genes have emerged that are co
12  systems to identify novel virulence-related microbial genes and immune-related host genes, many of w
13 ulted in the generation of vast data sets of microbial genes and pathways present in different body h
14                                              Microbial genes are highly predictive of IgA binding lev
15 iont level, the involvement of some host and microbial genes are mutually exclusive and microbes pred
16                                     Further, microbial genes associated with phage activity, toxin-an
17 d soil phosphatase activity and abundance of microbial genes associated with Po mineralization and in
18                   A comprehensive search for microbial genes associated with this spatial organizatio
19         Despite increasing efforts to expand microbial gene catalogs and an increasing number of meta
20                                              Microbial gene catalogs are data structures that organiz
21                        Our findings reveal a microbial gene cluster that is critical to dietary carni
22                        Our findings reveal a microbial gene cluster that is critical to dietary carni
23                                        Large microbial gene clusters encode useful functions, includi
24                  Patients with PSC had fewer microbial genes compared with HCs (P < .0001).
25 ssociated with differences in both predicted microbial gene content and endogenous metabolite profile
26             This was associated with altered microbial gene content, shifts in serum metabolite level
27 on, reduced microbial diversity, and altered microbial gene content.
28 ed tools for quantifying absolute numbers of microbial gene copies in test samples.
29 he amount of carbon/energy resources driving microbial gene diversity was identified to be the critic
30                                              Microbial genes encode the majority of the functional re
31                           Here we identify a microbial gene encoding an enzyme that catalyses the con
32 ase, we found 4- to 200-fold upregulation in microbial genes encoding biofilm thickness, heme transpo
33 rred the evolution of a complex reservoir of microbial genes encoding carbohydrate-active enzymes (CA
34  microbiota composition and the abundance of microbial genes encoding carboxylic ester hydrolases, as
35                                              Microbial genes encoding for secondary bile acid product
36                                 Induction of microbial genes encoding HSPs might provide a novel stra
37                                              Microbial genes encoding phenylalanine, tyrosine, and tr
38                                If homologous microbial genes exist-and about one-half the genes encod
39 5 microbial genera explained 45-83%, and 417 microbial genes explained 44-83% of their phenotypic var
40  of statistical methods specifically for the microbial gene expression (i.e. metatranscriptomics) is
41                                              Microbial gene expression (metatranscriptomics) in light
42  research groups has developed BmuG@Sbase, a microbial gene expression and comparative genomic databa
43 ant increases in ponderal growth, changes in microbial gene expression consistent with a less virulen
44 estricts our ability to study time-dependent microbial gene expression in one of the Earth's largest,
45                                              Microbial gene expression in the context of persistent i
46                                              Microbial gene expression in the environment has recentl
47 as markedly advanced the capacity to examine microbial gene expression in vivo.
48 s, among other things, detailed knowledge of microbial gene expression in vivo.
49 d regulatory genes in E. gallinarum, altered microbial gene expression programs and remodelled cell w
50 c mice, and changes in species abundance and microbial gene expression were measured in response to r
51                               Correlation of microbial gene expression with organismal abundances unc
52  and talented microbiologists in the area of microbial gene expression, regulation, biogenesis, patho
53 rter bacteria and community-wide analysis of microbial gene expression.
54 d overwhelms inter-individual differences in microbial gene expression.
55 e as a common mechanism in the regulation of microbial gene expression.
56 roarrays are becoming the tool of choice for microbial gene-expression profiling and genotypic analys
57 unities for more comprehensive insights into microbial gene flux.
58                                Concurrently, microbial genes for mineralization and nitrification are
59                             Investigation of microbial gene function is essential to the elucidation
60                                Understanding microbial gene functions relies on the application of ex
61 horts, as well as associating these taxa and microbial gene functions with COVID-19 mortality.
62               The diversity of C-degradation microbial genes generally declined with time during the
63 g provides insight into how the hijacking of microbial genes has allowed whiteflies to develop a high
64                       The GLIMMER system for microbial gene identification finds approximately 97-98%
65 e scientific literature contains millions of microbial gene identifiers within the full text and tabl
66 ng this influence, we performed a screen for microbial genes implicated, in germfree mice monocoloniz
67 erobacteriaceae and alters a small subset of microbial genes important for tumour development.
68                          GeoChip analysis of microbial genes in a Bangladeshi paddy soil showed the p
69 presence of I2, a Crohn's disease-associated microbial gene, in the murine intestine.
70                            Here we show that microbial genes involved in cellular iron uptake are hig
71 ficant increase in the signal intensities of microbial genes involved in degrading complex organic co
72  Functional analysis confirmed trends in key microbial genes involved in feeding transitions and diet
73 hitectures can efficiently predict whether a microbial gene is essential (or not) using only its sequ
74                               In many cases, microbial genes known to be important for full virulence
75 d tumor necrosis factor (TNF)-alpha and anti-microbial genes Lysozyme M and SLPI in the colon of Muc4
76 he tree-of-life scale, we identify conserved microbial gene modules associated with gut colonization.
77 sults reveal two sharply distinct classes of microbial genes, one of which is characterized by effect
78 ently want to know how abundant a particular microbial gene or pathway is across different human host
79 a microbial group, (iii) the enrichment of a microbial gene or sequence and (iv) enrichment of a func
80 mation and continuous horizontal transfer of microbial genes over their long evolutionary history.
81       The number of differentially expressed microbial genes particularly indicated shifts in carbon
82 , we demonstrated differential abundances of microbial genes/pathways for SCFA metabolism and degrada
83 f their ability to invade and proliferate in microbial gene pools and like symbionts when they coevol
84 mass spectrometry to systematically identify microbial gene products that metabolize drugs.
85 cellular signaling pathways, often involving microbial gene products that mimic the functions of the
86  a type III secretion system to inject these microbial gene products, referred to as Yersinia effecto
87 plex interplay between endothelial cells and microbial gene products.
88 een regions such as lumen and mucosa and the microbial genes regulating this organization.
89 s allows us to conduct systematic studies on microbial gene regulatory systems.
90 ting with seizure-protective fibers enriches microbial genes related to queuosine biosynthesis and pr
91 ic to evaluate the community-wide fitness of microbial genes remains lacking.
92 s, CASD1 deficiency caused subtle changes in microbial gene repertoire consistent with potential expl
93 unctional genomics technique that identifies microbial genes required for infection within an animal
94  ingestion and CVD risks, as well as the gut microbial genes responsible for the transformation of ga
95  ingestion and CVD risks, as well as the gut microbial genes responsible for the transformation of yB
96 al microbiome, functional analyses of common microbial gene sets are required.
97 ved in disease and the elucidation of entire microbial gene sets.
98 in model organisms are now being extended to microbial genes, species, and communities from the human
99 cs and the evolutionary dynamics of a social microbial gene, SUC2, in laboratory yeast populations wh
100               The distributional patterns of microbial genes suggested depth-variable community trend
101 wever, several recent studies have described microbial genes that affect social traits, thereby bring
102 ere we describe one approach for identifying microbial genes that affect the magnitude of host respon
103 mphasised regularities in the positioning of microbial genes that are co-regulated, co-expressed or e
104  PAH also had enrichment of species with the microbial genes that encoded the proinflammatory microbi
105 f anaerobic microbiology and is now yielding microbial genes that have potential in biotechnology.
106 phylogenetic level, with fewer copies of gut microbial genes that produce antiinflammatory short-chai
107 ic gene clusters (BGCs) are operonic sets of microbial genes that synthesize specialized metabolites
108                 Cytosine deaminase (CD) is a microbial gene undergoing clinical trials in gene-direct
109 ut presently under-utilized ways to identify microbial genes underlying differences in community comp
110                                              Microbial genes were grouped into clusters, denoted as m
111          However, only 4.0% of the mouse gut microbial genes were shared (95% identity, 90% coverage)

 
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