| Literature DB >> 30594172 |
Danying Tao1, Fei Li1, Xiping Feng1, May Chun Mei Wong2, Haixia Lu3.
Abstract
BACKGROUND: A number of studies on oral microbial diversity of early childhood caries (ECC) have tended to focus on mid- or late-stage of ECC, with a lack of research into early stage of tooth eruption and maternal influence. The aims of this study are to compare the supragingival plaque biofilm microbiota diversity between mothers with or without dental caries and their 12-month-old infants, and to explore the relationship of microbial diversity between infants and their mothers, using sequencing analysis.Entities:
Keywords: Dental plaque; Early childhood caries; Maternal influence; Microbial diversity; Sequencing analysis
Mesh:
Substances:
Year: 2018 PMID: 30594172 PMCID: PMC6311051 DOI: 10.1186/s12903-018-0699-8
Source DB: PubMed Journal: BMC Oral Health ISSN: 1472-6831 Impact factor: 2.757
The results of OUT clustering
| Sample | Groups | OTUs | Phylum | Class | Order | Family | Genus | Species |
|---|---|---|---|---|---|---|---|---|
| 1011 | MEG | 339 | 339 | 337 | 333 | 321 | 270 | 77 |
| 1021 | MEG | 391 | 391 | 389 | 384 | 379 | 339 | 55 |
| 1031 | MCG | 372 | 372 | 370 | 362 | 355 | 303 | 74 |
| 1041 | MEG | 363 | 363 | 361 | 355 | 348 | 319 | 65 |
| 1051 | MCG | 364 | 364 | 363 | 357 | 351 | 311 | 64 |
| 1061 | MEG | 474 | 474 | 473 | 466 | 458 | 415 | 45 |
| 1071 | MCG | 430 | 430 | 428 | 422 | 414 | 356 | 65 |
| 1081 | MEG | 312 | 312 | 311 | 303 | 301 | 266 | 75 |
| 1091 | MCG | 391 | 391 | 389 | 382 | 370 | 323 | 77 |
| 1101 | MCG | 451 | 451 | 449 | 441 | 430 | 383 | 58 |
| 1111 | MEG | 343 | 343 | 342 | 333 | 325 | 281 | 75 |
| 1121 | MEG | 343 | 343 | 341 | 333 | 325 | 284 | 65 |
| 1131 | MCG | 363 | 363 | 361 | 354 | 344 | 298 | 68 |
| 1141 | MEG | 449 | 449 | 447 | 436 | 422 | 366 | 56 |
| 1151 | MCG | 365 | 365 | 364 | 355 | 346 | 292 | 71 |
| 1161 | MEG | 322 | 322 | 321 | 314 | 310 | 278 | 61 |
| 1171 | MCG | 398 | 398 | 396 | 389 | 380 | 331 | 60 |
| 1181 | MEG | 295 | 295 | 294 | 290 | 283 | 242 | 77 |
| 1191 | MCG | 395 | 395 | 393 | 381 | 367 | 301 | 78 |
| 1201 | MCG | 351 | 351 | 350 | 340 | 327 | 280 | 73 |
| 2011 | CEG | 357 | 357 | 356 | 352 | 338 | 277 | 71 |
| 2021 | CEG | 283 | 283 | 283 | 280 | 273 | 228 | 86 |
| 2031 | CCG | 254 | 254 | 253 | 250 | 242 | 195 | 92 |
| 2041 | CEG | 284 | 284 | 283 | 280 | 274 | 239 | 84 |
| 2051 | CCG | 180 | 180 | 180 | 177 | 174 | 144 | 100 |
| 2061 | CEG | 306 | 306 | 305 | 299 | 295 | 256 | 74 |
| 2071 | CCG | 298 | 298 | 297 | 291 | 284 | 234 | 78 |
| 2081 | CEG | 201 | 201 | 201 | 199 | 195 | 161 | 91 |
| 2091 | CCG | 316 | 316 | 314 | 311 | 305 | 269 | 69 |
| 2101 | CCG | 414 | 414 | 412 | 406 | 392 | 325 | 63 |
| 2111 | CEG | 298 | 298 | 297 | 293 | 286 | 241 | 78 |
| 2121 | CEG | 274 | 274 | 273 | 269 | 258 | 213 | 89 |
| 2131 | CCG | 279 | 279 | 278 | 273 | 266 | 228 | 84 |
| 2141 | CEG | 314 | 314 | 313 | 307 | 299 | 246 | 77 |
| 2151 | CCG | 193 | 193 | 192 | 188 | 183 | 159 | 87 |
| 2161 | CEG | 334 | 334 | 333 | 325 | 316 | 263 | 72 |
| 2171 | CCG | 273 | 273 | 273 | 270 | 258 | 216 | 87 |
| 2181 | CEG | 166 | 166 | 165 | 164 | 160 | 133 | 98 |
| 2191 | CCG | 284 | 284 | 282 | 277 | 272 | 235 | 83 |
| 2201 | CCG | 268 | 268 | 267 | 261 | 254 | 218 | 91 |
Fig. 1Venn diagram of OTU distributions among four groups. 12m_MEG: Mothers in the exposure group when children aged 12 months; 12m_CEG: Children in the exposure group when children aged 12 months; 12m_ MCG: Mothers in the control group when children aged 12 months; 12m_ CCG: Children in the control group when children aged 12 months
Fig. 2Comparison of Shannon index among four groups. 12m_M: Mothers when children aged 12 months; 12m_C: Children when children aged 12 months; EG: Exposure group; CG: Control group
Fig. 3Classification of sample sequences at genus level
Differences of relative abundance of predominant bacteria by genus
| Predominant genus | MEG & MCG | CEG & CCG | MEG & CEG | MCG & CCG |
|---|---|---|---|---|
|
| 0.514 | 0.057 | 0.027* | 0.326 |
|
| 0.688 | 0.58 | 0.024* | 0.002* |
|
| 0.190 | 0.422 | 0.083 | 0.216 |
|
| 0.992 | 0.639 | 0.032* | 0.086 |
|
| 0.522 | 0.623 | 0.032* | 0.375 |
|
| 0.876 | 0.642 | 0.853 | 0.663 |
|
| 0.605 | 0.131 | 0.023* | 0.188 |
|
| 0.535 | 0.447 | 0.009* | 0.176 |
|
| 0.436 | 0.703 | 0.002* | 0.001* |
|
| 0.975 | 0.014* | 0.078 | 0.435 |
|
| 0.090 | 0.729 | 0.005* | 0.113 |
|
| 0.964 | 0.568 | 0.595 | 0.254 |
|
| 0.993 | 0.305 | 0.489 | 0.092 |
|
| 0.865 | 0.715 | 0.795 | 0.783 |
|
| 0.485 | 0.998 | 0.012* | 0.002* |
|
| 0.794 | 0.481 | 0.738 | 0.912 |
|
| 0.656 | 0.584 | 0.108 | 0.089 |
*p value <0.05, showed that significant abundance difference of dominant bacteria was found among four groups
MEG Mothers in the exposure group, CEG Children in the exposure group, MCG Mothers in the control group, CCG Children in the control group
Fig. 4PCA analysis
Fig. 5RDA analysis
Fig. 6The heatmap chart and clustering results of 50 most-abundant bacterial genera