| Literature DB >> 32156824 |
Ousmane H Cissé1, Liang Ma2, Chao Jiang3, Michael Snyder3, Joseph A Kovacs1.
Abstract
Environmental exposure has a significant impact on human health. While some airborne fungi can cause life-threatening infections, the impact of environment on fungal spore dispersal and transmission is poorly understood. The democratization of shotgun metagenomics allows us to explore important questions about fungal propagation. We focus on Pneumocystis, a genus of host-specific fungi that infect mammals via airborne particles. In humans, Pneumocystis jirovecii causes lethal infections in immunocompromised patients if untreated, although its environmental reservoir and transmission route remain unclear. Here, we attempt to clarify, by analyzing human exposome metagenomic data sets, whether humans are exposed to different Pneumocystis species present in the air but only P. jirovecii cells are able to replicate or whether they are selectively exposed to P. jirovecii Our analysis supports the latter hypothesis, which is consistent with a local transmission model. These data also suggest that healthy carriers are a major driver for the transmission.Entities:
Keywords: airborne microorganisms; epidemiology; host-parasite relationship; metagenomics; opportunistic fungi
Mesh:
Substances:
Year: 2020 PMID: 32156824 PMCID: PMC7064776 DOI: 10.1128/mBio.03138-19
Source DB: PubMed Journal: mBio Impact factor: 7.867
Proportion of Pneumocystis and selected mammal DNA in air filter metagenomes
| SRA accession no. | Source | Date | No. of paired-end reads | Proportion of genome bases covered by at least two sequencing reads (2× coverage) (%) | Geographic location | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Human | Dog | Cat | Guinea pig | Rat | Mouse | ||||||
| P1 | 10/29/14 | 46,823,961 | 0.16 | 0.05 | 0.02 | 0.02 | 0.01 | 0.02 | 0.01 | Cambridge, MA, USA | |
| P1 | 11/6/14 | 81,370,159 | 0.77 | 0.09 | 0.05 | 0.06 | 0.04 | 0.05 | 0.01 | Bethesda, MD, USA | |
| P1 | 2/1/15 | 57,429,806 | 0.51 | 0.04 | 0.03 | 0.02 | 0.01 | 0.01 | 0.01 | San Francisco, CA, USA | |
| P1 | 8/2/15 | 49,422,187 | 0.37 | 0.06 | 0.04 | 0.03 | 0.02 | 0.01 | 0.01 | Palo Alto, CA, USA | |
| P1 | 8/11/15 | 64,558,662 | 0.67 | 0.10 | 0.08 | 0.08 | 0.07 | 0.06 | 0.05 | Palo Alto, CA, USA | |
| P1 | 10/3/15 | 66,441,164 | 0.09 | 0.06 | 0.02 | 0.02 | 0.01 | 0.01 | 0.01 | Lexington, KY, USA | |
| P1 | 12/3/15 | 45,397,952 | 0.18 | 0.03 | 0.01 | 0.01 | 0.007 | <0.01 | <0.01 | Bethesda, MD, USA | |
| P1 | 1/2/16 | 94,139,119 | 2.53 | 1.25 | 0.40 | 0.37 | 0.18 | 0.19 | 0.16 | West Hartford, CT, USA | |
| P1 | 1/7/16 | 87,515,965 | 1.04 | 0.16 | 0.07 | 0.07 | 0.06 | 0.06 | 0.05 | San Diego, CA, USA | |
| P1 | 1/10/16 | 68,493,408 | 0.28 | 0.04 | 0.02 | 0.02 | 0.01 | 0.01 | <0.01 | Los Angeles, CA, USA | |
| P1 | 4/6/16 | 71,048,240 | 0.58 | 0.61 | 0.24 | 0.24 | 0.07 | 0.04 | 0.04 | Pottstown, PA, USA | |
| P1 | 5/12/16 | 56,634,040 | 0.42 | 0.07 | 0.01 | 0.01 | 0.03 | 0.04 | 0.02 | Cold Spring Harbor, NY, USA | |
| P1 | 6/17/16 | 75,614,307 | 0.51 | 0.08 | 0.06 | 0.06 | 0.04 | 0.05 | 0.04 | San Diego, CA, USA | |
| P1 | 11/28/16 | 61,447,835 | 1.59 | 0.37 | 0.11 | 0.11 | 0.09 | 0.07 | 0.08 | Palo Alto, CA, USA | |
| P1 | 12/5/16 | 69,122,523 | 1.68 | 0.23 | 0.30 | 0.23 | 0.09 | 0.11 | 0.12 | Palo Alto, CA, USA | |
| P1 | 1/2/17 | 66,800,060 | 0.65 | 0.19 | 0.14 | 0.10 | 0.04 | 0.05 | 0.04 | West Hartford, CT, USA | |
| P3 | 3/7/16 | 51,995,194 | 2.00 | 0.61 | 0.08 | 0.08 | 0.05 | 0.04 | 0.04 | Redwood City, CA, USA | |
| P3 | 3/29/16 | 82,285,688 | 1.13 | 1.45 | 0.23 | 0.24 | 0.30 | 0.13 | 0.12 | San Mateo, CA, USA | |
| P3 | 11/28/16 | 67,067,766 | 1.07 | 0.42 | 0.12 | 0.11 | 0.20 | 0.12 | 0.09 | San Mateo, CA, USA | |
| P3 | 12/5/16 | 56,853,387 | 0.56 | 0.18 | 0.06 | 0.11 | 0.09 | 0.12 | 0.04 | San Mateo, CA, USA | |
| P3 | 12/11/16 | 62,867,255 | 0.61 | 0.11 | 0.09 | <0.01 | 0.18 | 0.08 | 0.07 | New York, NY, USA | |
| P5 | 11/27/16 | 54,602,220 | 0.31 | 0.13 | 0.04 | 0.04 | 0.03 | 0.03 | 0.03 | Cupertino, CA, USA | |
| P5 | 12/6/16 | 62,121,563 | 0.53 | 0.09 | 0.06 | 0.05 | 0.12 | 0.04 | 0.04 | Cupertino, CA, USA | |
| P8 | 2/23/16 | 59,583,085 | 0.35 | 0.20 | 0.04 | 0.04 | 0.02 | 0.02 | 0.01 | Palo Alto, CA, USA | |
Identification codes of the tracked individuals.
Month/day/year.
Genome sizes: P. jirovecii, 8.3 Mb; human, 3.2 Gb; dog, 2.4 Gb; cat, 2.5 Gb; guinea pig, 2.7 Gb; rat, 2.8 Gb; mouse, 2.8 Gb.
FIG 1Evidence of Pneumocystis DNA in air metagenomes. (A) Pairwise nucleotide identity heatmap of 37 of 45 contigs. Only contigs for which a 1-to-1 ortholog could be established were used. Blank spaces in the heatmap represent a lack of an identifiable ortholog. These missing orthologs likely represent an incomplete genome or annotation rather than real biological gene loss. (B) Maximum likelihood phylogeny of a representative contig encoding the 3-oxoacyl-[acyl-carrier-protein] synthase (arrow). The contig was recovered from the NCBI SRA accession number SRR6399569. Bootstrap values of 100 replicates are presented on the tree nodes. Sequences are labeled with the following species identifiers: PJIR, Pneumocystis jirovecii; PMAC, Pneumocystis sp. macacae; PCAR, P. carinii; PMUR, P. murina. P. jirovecii sequences are boxed. (C) Single nucleotide polymorphisms (SNP) were identified from the alignments of raw reads from each SRA file to P. jirovecii reference genome assembly strain RU7. The heatmap shows the variant calling results for 1,852 genomic positions encoded as follows: black, presence of a SNP; gray, region covered by at least two sequencing reads with the allele as the reference genome; white, absence of coverage. Each row represents a unique SNP, and each column represents the 15 samples with detectable Pneumocystis sequences. Collection dates (month/year) are presented at the bottom of the figure.