ライフサイエンスコーパス: microbial interaction

1 TRAM, and TRIF) to mediate signaling of host-microbial interaction.

2 the bacterial densities and the strength of microbial interactions.

3 s a function of environmental parameters and microbial interactions.

4 lex and interconnected elemental cycling and microbial interactions.

5 ores the breadth and sophistication of plant-microbial interactions.

6 ms to collect and provide all known physical microbial interactions.

7 assessing the impact of these genes on host-microbial interactions.

8 ial factors mediate mutually beneficial host-microbial interactions.

9 nd animals is characterized by aberrant host-microbial interactions.

10 e a new perspective on the evolution of host-microbial interactions.

11 origins and the role they play in mediating microbial interactions.

12 ve signaling capability was suggested by its microbial interactions.

13 seful in understanding other persistent host-microbial interactions.

14 grams of the other three lineages or on host-microbial interactions.

15 ve represents a novel approach for capturing microbial interactions.

16 stently identified as important mediators of microbial interactions.

17 y affect char electrochemical properties and microbial interactions.

18 tagenomics was performed to explore the main microbial interactions.

19 fferent shade tolerance via changes in plant-microbial interactions.

20 es leads to a more complete understanding of microbial interactions.

21 ct removal, and interactive visualization of microbial interactions.

22 ocesses such as boundary layer chemistry and microbial interactions.

23 to the molecular mechanisms underlying plant-microbial interactions.

24 portance of mitochondrial metabolism in host-microbial interactions.

25 as water availability, soil compactness, and microbial interactions.

26 e thought to play an important role in plant-microbial interactions.

27 bacteriaceae families that suggest important microbial interactions.

28 te tissue barrier function and regulate host-microbial interactions.

29 (H)22-driven responses, genetic factors, and microbial interactions.

30 th a reliable tool for understanding complex microbial interactions.

31 lize alginate, environmental conditions, and microbial interactions.

32 genetics, metabolism, and volatile-mediated microbial interactions.

33 tify keystone populations and time-dependent microbial interactions.

34 howed that lipid degradation is modulated by microbial interactions.

35 t how these organisms use these molecules in microbial interactions.

36 versification may increase yield and promote microbial interactions.

37 kely play an important role in long-distance microbial interactions.

38 ls to qualitatively capture diverse pairwise microbial interactions.

39 istinct roles in cooperative and competitive microbial interactions.

40 abolic exchange in the laboratory is through microbial interactions.

41 n microbes and can play an important role in microbial interactions.

42 uppressive (IS) therapies, which impact host-microbial interactions.

43 emical cycles and a key chemical currency in microbial interactions.

44 ing of specific niches and potentially novel microbial interactions.

45 n regulating activity, including the role of microbial interactions.

46 e this ecological niche and have established microbial interactions.

47 etabolic flow and cooperative or competitive microbial interactions.

48 plore the role of metabolism in the observed microbial interactions.

49 ions to identify metabolic underpinnings for microbial interactions.

50 nd (iv) multi-dimensional (rotating 3D) host-microbial interactions.

51 well-conserved from recently developed host-microbial interactions.

52 microvillus-derived LVs modulate epithelial-microbial interactions.

53 olutionary and ecological theory relevant to microbial interactions across all phylogenetic scales.

54 lting in the phenotypic plasticity that host-microbial interactions allow.

55 Interspecies microbial interactions, analogous to those mediated by H

56 rk advances our understanding of a prevalent microbial interaction and its potential for biocontrol.

57 vides useful information about the nature of microbial interactions and allows predictions of communi

58 ge of the temporal relationship between host-microbial interactions and clinical signs of gingivitis.

59 number of prokaryotes, its scarcity affects microbial interactions and community dynamics(2-4).

60 ly clear that S-layers have crucial roles in microbial interactions and community dynamics.

61 tructure which supports the establishment of microbial interactions and confers protection to microor

62 (IBD) is characterized by dysregulated host:microbial interactions and cytokine production.

63 ay underpin the evolution and maintenance of microbial interactions and determine the fate of a subst

64 We further explicitly model localized microbial interactions and diffusion dynamics, and we sh

65 dings provide detailed insight into specific microbial interactions and dynamics that determine FMT s

66 nhibiting the growth of commensals, altering microbial interactions and enhancing the ability of S. T

67 nally, recent results show the importance of microbial interactions and host genetics in determining

68 analysis has become essential for uncovering microbial interactions and identifying keystone species

69 ch offers a powerful means of characterizing microbial interactions and identifying metabolic markers

70 re complex and include competitive microbial-microbial interactions and induction of host immune resp

71 remains challenging due to the complexity of microbial interactions and limitations of sparse, high-d

72 Our findings reveal how microbial interactions and metabolic flexibility -includ

73 could inform effective strategies to manage microbial interactions and mitigate the burden of immune

74 olism underlying SCFA formation, considering microbial interactions and modulating factors of the gut

75 of peptides to mediate nutrient acquisition, microbial interactions and other physiological processes

76 alysis, offering a robust framework to infer microbial interactions and predict community dynamics us

77 f the temporal dynamics of resource-mediated microbial interactions and provide a method for gauging

78 Those compounds play an important role in microbial interactions and soil health, but are also cru

79 he treatment, highlighting the complexity of microbial interactions and the need to optimise treatmen

80 The role of microbial interactions and the underlying mechanisms tha

81 ghting the importance of understanding these microbial interactions and their implications for viral

82 echanisms involved in these beneficial plant-microbial interactions and their plasticity in different

83 romote specialization or generalism in plant-microbial interactions and thereby modulate the impact o

84 mportant in influencing bacterial diversity, microbial interactions and viral abundance and community

85 tes and proteins in tissues to investigating microbial interactions, and as a result is perhaps the f

86 rations affect the abundance of key players, microbial interactions, and community functioning in ter

87 e microbial sources, host selection factors, microbial interactions, and stochastic forces, and that

88 gen sulfide, fostering DIET-based syntrophic microbial interactions, and unraveling the intricate int

89 Dysregulated host/microbial interactions appear to play a central role in

90 In addition, it is known that host-microbial interactions are bidirectional, and this inter

91 To what extent these microbial interactions are context-dependent in performi

92 Because antagonistic microbial interactions are especially important to disea

93 Microbial interactions are expected to be major determin

94 As such, tools that can enable investigating microbial interactions are highly valuable.

95 Increasing evidence suggests that microbial interactions are important determinants of pla

96 Since microbial interactions are likely to change between cond

97 Here we discuss how host-gene-microbial interactions are major determinants for the de

98 Microbial interactions are predicted to be driven by ace

99 n, and the subsequent consequences for plant-microbial interaction as key areas in which models of ec

100 antial arsenal of small molecules induced by microbial interactions, as we begin to unravel the compl

101 lant species, we can better assess how plant-microbial interactions associated with ecosystem-level p

102 ns, as we begin to unravel the complexity of microbial interactions associated with endophytic system

103 in OM have focused on understanding the host-microbial interactions, because current pathways have sh

104 tion is a promising theory for understanding microbial interactions, because microparasites require n

105 These changes suggest that microbial interactions become more interconnected and co

106 We find evidence of microbial interaction between these two pathogenic organ

107 We have discovered a microbial interaction between yeast, bacteria, and nemat

108 To understand microbial interactions between biofilms, it is necessary

109 rface environments and show that cooperative microbial interactions between free-living and biofilm-f

110 Yet, the re-organization of microbial interactions between pairwise cultures and lar

111 erkingdom network where GH25 lysozyme shapes microbial interactions between yeast, oomycete, and asso

112 The fact that microbial interactions can be manipulated in ways that a

113 e help of QSHGM, various communication-based microbial interactions can be searched and a QS communic

114 Characterizing microbial interactions can give us insights into how the

115 but there are few examples illustrating how microbial interactions can influence the virulence of in

116 Microbial interactions can lead to different colonizatio

117 ith the gut microbiota and dysregulated host-microbial interactions can result in intestinal inflamma

118 combined with the spatial structure of host-microbial interactions, can have a constructive rather t

119 difficile infection is analyzed to quantify microbial interactions, commensal-pathogen interactions,

120 Which diet-microbial interactions contribute to or mitigate carcino

121 ies in anaerobic sludge, and on interspecies microbial interactions, contributed to extend the knowle

122 lipid absorption, emphasizing the many host-microbial interactions contributing to adiposity.

123 We identified host-microbial interactions correlated with disease activity,

124 tion, and immunity selected by past toxin or microbial interactions could underlie aberrant responses

125 ian intestinal environment and identify host-microbial interactions critical for human health.

126 ity, we compared our dataset with a union of microbial interaction data from IntAct, DIP, BIND and MI

127 exacerbation risk, and that incorporation of microbial interaction data improves clinical prediction

128 Thus, diet-driven host-microbial interactions depend on the food as well as its

129 microbial interactions due to the wealth of microbial interactions described, and the lack of inform

130 tion, cell adhesion, migration, immunity and microbial interactions determines CRC risk.

131 ther influenced by host-microbiome and inter-microbial interactions, dietary choices, microbe immigra

132 is an ideal system to study chemistry-based microbial interactions due to the wealth of microbial in

133 These studies clearly demonstrated that the microbial interaction during fermentation of rice makes

134 to aniline and advances the understanding of microbial interactions during anaerobic dechlorination.

135 is discovery may have major implications for microbial interactions during pathogen-host colonization

136 ilizes the host's resources to maintain host-microbial interactions during pathogen-induced stress.

137 Microbial interactions during the fermentation process i

138 lationships between plant traits determining microbial interactions (e.g., defense traits) and those

139 , we demonstrate the complex architecture of microbial interactions even within a simple microbiome,

140 s underlying the patterns and functioning of microbial interactions for successful development of mic

141 Models describing first-order kinetics, microbial interactions, formulation optimization, rheolo

142 demonstrate how the understanding of complex microbial interactions found in nature can be exploited

143 ovide additional context by contrasting host-microbial interactions from warm outdoor and cold indoor

144 acteria, now also appears to be dependent on microbial interactions, from microbiomes to unicellular

145 factors such as obesity, sex, genetics, and microbial interactions further modulate its impact.

146 The observed lockstep of microbial interactions further underlies a robust microb

147 In the gut, a symbiotic host-microbial interaction has coevolved as bacteria make ess

148 examples of how the growing understanding of microbial interactions has contributed to drug discovery

149 understanding of the mechanisms that mediate microbial interactions has lagged behind.

150 soil-like porous environments, the study of microbial interactions has largely focused on biofilms g

151 These microbial interactions have been manually curated from t

152 Although microbial interactions have been suggested as a selectiv

153 Using MetaDICT, we characterize microbial interaction, identify generalizable microbial

154 Our data-driven model quantifies microbial interactions impacting growth and butyrate pro

155 To explore the host immune response and microbial interaction in IPF as they relate to progressi

156 These measurements revealed a host-microbial interaction in the GI tract involved in the re

157 This study reveals a new microbial interaction in the ocean.

158 Here we show that by including microbial interactions in a SOC model, persistence can b

159 Microbial interactions in aquatic environments profoundl

160 tinomycetemcomitans variants and ascertained microbial interactions in biofilm communities.

161 The present work aims to elucidate the microbial interactions in biogas production and assess t

162 ill require a holistic understanding of host-microbial interactions in both spatiotemporal and biogeo

163 review underscores the significance of plant-microbial interactions in bridging the mechanisms underl

164 risk of CAUTI, signifying the involvement of microbial interactions in CAUTI pathogenesis.

165 metabarcoding data are often used to predict microbial interactions in complex communities, but these

166 Here, we studied the roles of microbial interactions in flavour formation in a year-lo

167 to fully depict communication-based complex microbial interactions in human gut microbiota.

168 To explore the host-microbial interactions in IPF.

169 This yields new information on the plant-microbial interactions in maize and shows that LDA techn

170 metagenomics data to improve predictions of microbial interactions in many complex systems, includin

171 These results support the complex role of microbial interactions in mediating carbon budget change

172 els have breakthrough potential for modeling microbial interactions in microbial mats.

173 This study provides insights into microbial interactions in non-model pathosystems and con

174 has been considerable investigation of host-microbial interactions in patients with chronic rhinosin

175 ach indicates a high degree of plasticity in microbial interactions in response to the availability o

176 crucial roles of competitive and cooperative microbial interactions in shaping cheese flavour profile

177 the importance of site-specific factors and microbial interactions in shaping their distribution pat

178 th a focus on the emerging role of aging and microbial interactions in shaping these processes.

179 In contrast, microbial interactions in soil after the natural death o

180 In this study, we dissect the microbial interactions in sugarcane ethanol fermentation

181 velopmental and functional influence of host-microbial interactions in the "microbiota-gut-brain axis

182 dance, and little is known about the role of microbial interactions in the context of human disease.

183 nstrate a central role of a redox balance in microbial interactions in the fruit fly gut.

184 Although mucus-microbial interactions in the GIT play a crucial role in

185 ecent studies have indicated that host genes-microbial interactions in the gut contribute to human di

186 E(2) immunomodulation in the context of host-microbial interactions in the lung.

187 Microbial interactions in the microbiome, chemical gradi

188 ramework to understand the strength of plant-microbial interactions in the presence of environmental

189 te of knowledge regarding the impact of host-microbial interactions in the process.

190 Plant-microbial interactions in the rhizosphere are an essenti

191 dissecting the molecular foundations of host-microbial interactions in the vertebrate digestive tract

192 non-bacterial constituents and cross-kingdom microbial interactions in these processes is poorly unde

193 ns is likely due to more negative plant-soil microbial interactions in these regions.

194 olecular networking to study chemistry-based microbial interactions in this system.

195 The current review highlights three dynamic microbial interactions in which some of the words and th

196 kin microbial interactions versus pathogenic microbial interactions in wound repair is important.

197 sity, and importance of DMSP-mediated marine microbial interactions, including algae-microzooplankton

198 e specific and interesting predictions about microbial interactions, including the evolution of partn

199 ration on microbial communities by enhancing microbial interactions (increasing the number of network

200 Dysregulated host/microbial interactions induce the development of colitis

201 Microbial interactions influence the productivity and bi

202 for penetration into the brain, but the host-microbial interactions involved in E. coli entry of the

203 and the complex toxicological, cellular, and microbial interactions involved.

204 presence of Z. tritici, indicating that this microbial interaction is mutualistic.

205 e factors that influence the outcome of host-microbial interactions is critical to protecting biodive

206 en rickettsial genetics, vector biology, and microbial interactions is crucial in understanding the i

207 Understanding microbial interactions is fundamental for exploring popu

208 Deeper exploration of microbial interactions is now possible via molecular pro

209 e effect of nutrient supplies on within-host microbial interactions is poorly understood.

210 However, the study of microbial interactions is still at an early stage.

211 ectively, our results reveal how cooperative microbial interactions may contribute to microbial coexi

212 creasing evidence suggests that higher-order microbial interactions may have an equal or greater cont

213 role of altered microflora and altered host microbial interactions may provide new treatment targets

214 we used a bottom-up approach to investigate microbial interaction mechanisms from pairwise cultures

215 l habitats are densely populated, and hence, microbial interactions mediated by natural products are

216 Microbial interactions mediating colonization resistance

217 Among the numerous types of microbial interactions, metabolite exchanges, or 'metabo

218 ow it may contribute to our understanding of microbial interactions, microbial community exploration

219 data with multi-scale modeling to elucidate microbial interactions, microbiome dysbiosis, and their

220 s, mice deficient for genes relevant to host-microbial interactions (MyD88(-/-), NOD2(-/-), ob/ob, an

221 e understanding of how these nutrients shape microbial interaction networks and responses to perturba

222 fects of carbohydrate chemical complexity on microbial interaction networks could be exploited to inf

223 However, substantial alterations in microbial interaction networks were observed at age 0.5

224 ation tools, limiting the ability to explore microbial interaction networks.

225 high dimensional compositional data such as microbial interaction networks.

226 iding a limited understanding of the broader microbial interactions occurring at these interfaces.

227 ations is likely associated with the diverse microbial interactions occurring within the Trichodesmiu

228 These complex microbial interactions of ligand cross-feeding and joint

229 elease of polyphenols, bioaccessibility, and microbial interactions on gut microbiota with polyphenol

230 s carriers of pathogens, making the study of microbial interactions on seeds important in the emergen

231 saltwater intrusion and indirect effects via microbial interactions on the expansion of a model invas

232 omic analyses were performed to decipher the microbial interactions on the granular activated carbon.

233 However, mutualistic host-microbial interactions prevent disease by opportunistic

234 We use these genomes to probe microbial interactions, reconstructing the horizontal ge

235 r understanding of how mineralogy and litter-microbial interactions regulate SOC formation.

236 Capturing the breadth of microbial interactions requires a detailed description o

237 Validation of two predicted host-microbial interactions reveal that TNFalpha and IFNgamma

238 ights into the properties of the networks of microbial interactions, revealing that sparsity is a cru

239 situ and recreated in vitro demonstrate that microbial interactions shape sourdough community structu

240 ecology and evolution in nature that mediate microbial interactions, shape bacterial diversity, and i

241 gs suggest that an ecological patterned root-microbial interaction strategy has been adopted in S. sa

242 transcriptomic analyses, as well as in vitro microbial interaction studies.

243 Host microbial interactions suggest opportunistic disease pro

244 define a disease-relevant mechanism of host-microbial interaction that maintains protease homoeostas

245 We identify 2 classes of microbial interactions that alter C. difficile's antibio

246 that benefits the partner is a paradigm for microbial interactions that cannot be observed in studie

247 is effective for investigating discrete host-microbial interactions that culminate in gastric cancer

248 Our findings indicate that host-microbial interactions that impact host metabolism can o

249 One aspect of microbial interactions that impacts community formation

250 tracted notable attention as an indicator of microbial interactions that lead to marked alterations o

251 lays the groundwork for studying the complex microbial interactions that occur on apple fruit surface

252 ortia-based network analyses for identifying microbial interactions that underpin the structure and f

253 ct the LNM in CRC by the recognition of host-microbial interaction, thereby can make the cancer surve

254 is led to a better understanding of host and microbial interactions, thereby aiding therapeutic desig

255 he fundamental understanding of biofilms and microbial interactions therein but also providing a rati

256 everal natural products are known to mediate microbial interactions through metabolic exchange.

257 ensors to study host-microbial and microbial-microbial interactions through small molecule signals.

258 soil phosphorus availability in altering the microbial interactions, thus leading to soil invasion by

259 Here we interpret studies of diet-microbial interactions to assess dietary determinants of

260 New tools from synthetic biology allow microbial interactions to be designed and tightly contro

261 Integrative microbiomics captures microbial interactions to determine exacerbation risk, w

262 ive prior work using inclusive fitness, from microbial interactions to human evolution, should be con

263 ide molecular flexibility required for plant-microbial interactions to match changing environmental c

264 al network components and mechanisms of host-microbial interactions underlying disease phenotypes.

265 al pathogenesis of MPPD, suggesting that the microbial interactions underpinning MPPD may be more com

266 Thus, the interplay between normal skin microbial interactions versus pathogenic microbial inter

267 of Lyngbya and gain insights into potential microbial interactions, we sequenced the genome of Lyngb

268 iven the contribution of glycolipids to host-microbial interactions, we sought to determine why human

269 In the course of our studies of HMO-microbial interactions, we unexpectedly uncovered a nove

270 Intermicrobial and host-microbial interactions were modeled using differential n

271 U speciation can be governed by microbial interactions, whereby metal-reducing bacteria

272 could affect such time-dependent patterns is microbial interactions, wherein community composition at

273 of fucosylation may control intestinal host-microbial interaction which could influence B12 concentr

274 e data but also the lack of understanding of microbial interactions which can be indicative of the di

275 tro data demonstrate a molecular basis for a microbial interaction, which could result in increased s

276 nts respond to promote beneficial, symbiotic microbial interactions while suppressing those that are

277 che differentiation plays a dominant role in microbial interactions, while habitat filtering also pla

278 wed that tolerance in skin was controlled by microbial interaction with a specialized subset of antig

279 SEHIT)-a technique enabling interrogation of microbial interactions with 3,324 human exoproteins-to p

280 dietary polysaccharide digestion, including microbial interactions with endogenous host glycans and

281 al that mammalian hosts monitor and regulate microbial interactions with intestinal epithelial surfac

282 pabilities available for characterization of microbial interactions with mass spectrometry.

283 However, little is known of microbial interactions with metallic lead.

284 Microbial interactions with multiple species may expand

285 to create complex colony geometries to probe microbial interactions with NIMS imaging.

286 nables us to investigate unexplored array of microbial interactions with oil drops.

287 even less knowledge of its consequences for microbial interactions with plants.

288 However, relatively little is known about microbial interactions with REE.

289 However, little is known of microbial interactions with struvite which would result

290 our concepts of the role of carbohydrates in microbial interactions with the adaptive immune system.

291 ct mechanisms are also at play; for example, microbial interactions with the host immune system can h

292 anding of key aspects of immune function and microbial interactions with the host.

293 atory drugs as important areas for assessing microbial interactions with the nervous system.

294 Microbial interactions within a natural or engineered co

295 ess, low-level knowledge of bacteria driving microbial interactions within microbiomes remains unknow

296 Our findings broaden the understanding of microbial interactions within the phyllosphere, provide

297 omic studies have extensively explored human-microbial interactions, yet research on non-human animal