| Literature DB >> 25186768 |
François P Douillard, Willem M de Vos.
Abstract
Genome analysis using next generation sequencing technologies has revolutionized the characterization of lactic acid bacteria and complete genomes of all major groups are now available. Comparative genomics has provided new insights into the natural and laboratory evolution of lactic acid bacteria and their environmental interactions. Moreover, functional genomics approaches have been used to understand the response of lactic acid bacteria to their environment. The results have been instrumental in understanding the adaptation of lactic acid bacteria in artisanal and industrial food fermentations as well as their interactions with the human host. Collectively, this has led to a detailed analysis of genes involved in colonization, persistence, interaction and signaling towards to the human host and its health. Finally, massive parallel genome re-sequencing has provided new opportunities in applied genomics, specifically in the characterization of novel non-GMO strains that have potential to be used in the food industry. Here, we provide an overview of the state of the art of these functional genomics approaches and their impact in understanding, applying and designing lactic acid bacteria for food and health.Entities:
Mesh:
Year: 2014 PMID: 25186768 PMCID: PMC4155825 DOI: 10.1186/1475-2859-13-S1-S8
Source DB: PubMed Journal: Microb Cell Fact ISSN: 1475-2859 Impact factor: 5.328
Figure 1Overview of LAB associations with plants and animals, human and foods. The estimated time frames of the evolutionary events relating to the emergence of human (top) and domestication (bottom) are indicated - please note their different dimensions. For a further explanation, see text.
Genomic features of a selected number of lactic acid bacteria related to human lifestyle and health.
| Bacterial species | Example of | Isolation Source | Genome Size (Mbp) | Number of | %GC | Number of Proteins | References |
|---|---|---|---|---|---|---|---|
| NCFM | GI tract (Feces) | 1.99 | 0 | 34.7 | 1,832 | [ | |
| GRL1112 | Pig GI Tract (Feces)* | 2.13 | 2 | 38.1 | 2,121 | [ | |
| ATCC 367 | Unknown | 2.34 | 2 | 46.0 | 2,218 | [ | |
| ATCC 11577 | Oral Cavity | 2.86 | n.d. | 39,5 | 3,002 | DS | |
| BL23 | Food (Cheese) | 3.08 | 0 | 46.3 | 2,997 | [ | |
| EM-LC1 | GI Tract (Feces) | 1.83 | n.d. | 37.0 | 1,751 | DS | |
| ATCC 11842 | Food (Dairy product) | 1.87 | 0 | 49.7 | 1,529 | [ | |
| IFO 3956 | Food (Plant) | 2.1 | 0 | 51.5 | 1,843 | [ | |
| ATCC 33323 | Human origin | 1.89 | 0 | 35.3 | 1,755 | [ | |
| DPC 4571 | Food (Cheese) | 2.08 | 0 | 37.1 | 1,610 | [ | |
| AB-1 | Vaginal Cavity | 1.29 | 0 | 32.7 | 1,209 | [ | |
| 269-3 | Vaginal Cavity | 1.69 | n.d. | 34.4 | 1,575 | DS | |
| NCC 533 | GI Tract (Intestine) | 1.99 | 0 | 34.6 | 1,821 | [ | |
| ZW3 | Food (Kefir) | 2.35 | 2 | 37.4 | 2,162 | [ | |
| N1115 | Food (Dairy products) | 3.06 | 4 | 46.5 | 2,985 | [ | |
| WCFS1 | Oral Cavity (Saliva) | 3.35 | 3 | 44.4 | 3,063 | [ | |
| DSM 20016 | GI Tract (Intestine) | 2.0 | 0 | 38.9 | 1,900 | DS | |
| GG | GI Tract (Intestine) | 3.01 | 0 | 46.7 | 2,913 | [ | |
| ATCC 25644 | GI Tract (Intestine) | 2.07 | 0 | 43.7 | 2,153 | [ | |
| UCC118 | GI Tract (Intestine) | 2.13 | 3 | 33.0 | 2,013 | [ | |
| 23K | Food (Meat) | 1.88 | 0 | 41.3 | 1,871 | [ | |
| IL1403 | Food (Cheese) | 2.37 | 0 | 35.3 | 2,277 | [ | |
| MG1363 | Food (Dairy Products) | 2.53 | 0 | 35.7 | 2.434 | [ | |
| CCHSS3 | Oral Cavity | 2.22 | 0 | 39.9 | 2,027 | DS | |
| CNRZ1066 | Food (Yoghurt) | 1.8 | 0 | 39.1 | 1,914 | [ | |
| V583 | Clinical Sample (Blood) | 3.36 | 3 | 37.4 | 3,264 | [ | |
| DO | Clinical Sample | 3.05 | 3 | 37.9 | 3,114 | [ | |
| PSU-1 | Food (Plant) | 1.78 | 0 | 37.9 | 1,691 | [ | |
| ATCC 25745 | Food (Plant) | 1.83 | 0 | 37.4 | 1,752 | [ | |
| ATCC BAA-344 | Food (Beer) | 1.98 | 8 | 37.0 | 1,881 | [ | |
| ATCC 8293 | Food (Olives) | 2.08 | 1 | 37.7 | 2,003 | [ | |
| KM20 | Food (Kimchi) | 1.9 | 4 | 38.9 | 1,820 | [ | |
| JB7 | Food (Kimchi) | 1.89 | 0 | 36.7 | 1,796 | [ | |
| JB16 | Food (Kimchi) | 1.77 | 4 | 37.1 | 1,691 | [ | |
| IMSNU 11154 | Food (Kimchi) | 2.1 | 5 | 37.9 | 2,129 | [ | |
| LMG 18811T | Food (Spoilage) | 1.95 | 0 | 36.7 | 1,912 | [ |
Legend: DS, Direct Submission to sequence databases; n.d, not defined; *, No human isolates have been sequenced yet. Due to some discrepancies between the original references and the sequence databases, the data shown in the table were exclusively retrieved from NCBI databases as on 4th of April 2014.
Figure 2A phylogenetic tree of based on sequences of 7 housekeeping genes (. The tree was generated using previously described computational methods [210-219]. Species were colored according to their genus (purple, Leuconostoc spp. ; yellow, Lactobacillus spp. ; blue, Pediococcus spp.; green, Lactococcus spp.; pink, Streptococcus spp. ; orange, Enterococcus spp. ; grey, Oenococcus spp. ). In addition, the presence of isolates in a particular niche are indicated by colored dots (dark green, plant material; green, food products; orange, oral cavity; purple, gastro-intestinal tract; magenta, vaginal cavity and blue, other body sites and clinical isolates). This illustrates the ecological versatility of each species but does not further detail its ecological role, i.e. transient (allochthonous) or endogenous (autochthonous).
Figure 3Overview of the level of LAB in the different body sites. The estimated LAB fraction is based on several complete and comprehensive phylogenetic and metagenomic datasets and the total number of bacteria per gram of homogenized tissue or fluid or square centimeter of skin [4,94,95,220,221].
Figure 4Genome, habitat and phenome - a summary overview.