Additional file 6: Table S4. of Evaluation of prokaryotic diversity of five hot springs in Eritrea

Abundance of bacteria at family level in various samples collected from the five hot springs in Eritrea. The first letters of the sample names refer to the five hot springs (A = Akwar, E = Elegedi, G = Garbanabra, J = Gelti and M = Maiwooi), while the second letters are for sample types (A = microbial mat, S = wet sediment, and W = water). (XLSX 30 kb

Additional file 5: Table S3. of Evaluation of prokaryotic diversity of five hot springs in Eritrea

Abundance of microbial taxa at phyla level in various samples collected from the five hot springs in Eritrea. The first letters of the sample names refer to the five hot springs (A = Akwar, E = Elegedi, G = Garbanabra, J = Gelti and M = Maiwooi), while the second letters are for sample types (A = microbial mat, S = wet sediment, and W = water). (XLSX 10 kb

Additional file 4: Figure S2. of Evaluation of prokaryotic diversity of five hot springs in Eritrea

Rarefaction curves of OTUs from amplicon samples collected from the five hot springs in Eritrea. The number of OTUs is plotted in relation to sub-sampled sequence datasets size (number of reads). The first letters of the sample names refer to the five hot springs (A = Akwar, E = Elegedi, G = Garbanabra, J = Gelti and M = Maiwooi), while the second letters are for sample types (A = Microbial mat, S = wet sediment, and W = water). (TIFF 1023 kb

Potential human pathogenic bacteria in five hot springs in Eritrea revealed by next generation sequencing

<div><p>Human pathogens can survive and grow in hot springs. For water quality assessment, <i>Escherichia coli</i> or <i>Enterococci</i> are the main thermotolerant enteric bacteria commonly used to estimate the load of pathogenic bacteria in water. However, most of the environmental bacteria are unculturable thus culture methods may cause bias in detection of most pathogens. Illumina sequencing can provide a more comprehensive and accurate insight into environmental bacterial pathogens, which can be used to develop better risk assessment methods and promote public health awareness. In this study, high-throughput Illumina sequencing was used to identify bacterial pathogens from five hot springs; Maiwooi, Akwar, Garbanabra, Elegedi and Gelti, in Eritrea. Water samples were collected from the five hot springs. Total community DNA was extracted from samples using the phenol-chloroform method. The 16S rRNA gene variable region (V4—V7) of the extracted DNA was amplified and library construction done according to Illumina sequencing protocol. The sequence reads (length >200 bp) from Illumina sequencing libraries ranged from 22,091 sequences in the wet sediment sample from Garbanabra to 155,789 sequences in the mat sample from Elegedi. Taxonomy was assigned to each OTU using BLASTn against a curated database derived from GreenGenes, RDPII, SILVA SSU Reference 119 and NCBI. The proportion of potential pathogens from the water samples was highest in Maiwooi (17.8%), followed by Gelti (16.7%), Akwar (13.6%) and Garbanabra (10.9%). Although the numbers of DNA sequence reads from Illumina sequencing were very high for the Elegedi (104,328), corresponding proportion of potential pathogens very low (3.6%). Most of the potential pathogenic bacterial sequences identified were from <i>Proteobacteria</i> and <i>Firmicutes</i>. <i>Legionella</i> and <i>Clostridium</i> were the most common detected genera with different species. Most of the potential pathogens were detected from the water samples. However, sequences belonging to <i>Clostridium</i> were observed more abundantly from the mat samples. This study employed high-throughput sequencing technologies to determine the presence of pathogenic bacteria in the five hot springs in Eritrea.</p></div

Hierarchical clustering, based on Bray-Curtis dissimilarities, illustrating the composition of potential pathogens at species level in the five hot springs in Eritrea.

<p>The first letters of the sample names refer to the five hot springs (A = Akwar, E = Elegedi, G = Garbanabra, J = Gelti and M = Maiwooi), while the second letters are for sample types (A = Microbial mat, S = wet sediment, and W = water).</p

Location and physical characteristics of the five hot springs in Eritrea.

<p>Location and physical characteristics of the five hot springs in Eritrea.</p

Potential human pathogenic bacterial sequences identified from five hot springs in Eritrea.

<p>Potential human pathogenic bacterial sequences identified from five hot springs in Eritrea.</p