Literature DB >> 27123157

Complete genome sequences of Geobacillus sp. WCH70, a thermophilic strain isolated from wood compost.

Phillip J Brumm1, Miriam L Land2, David A Mead3.   

Abstract

Geobacillus sp. WCH70 was one of several thermophilic organisms isolated from hot composts in the Middleton, WI area. Comparison of 16 S rRNA sequences showed the strain may be a new species, and is most closely related to G. galactosidasius and G. toebii. The genome was sequenced, assembled, and annotated by the DOE Joint Genome Institute and deposited at the NCBI in December 2009 (CP001638). The genome of Geobacillus species WCH70 consists of one circular chromosome of 3,893,306 bp with an average G + C content of 43 %, and two circular plasmids of 33,899 and 10,287 bp with an average G + C content of 40 %. Among sequenced organisms, Geobacillus sp. WCH70 shares highest Average Nucleotide Identity (86 %) with G. thermoglucosidasius strains, as well as similar genome organization. Geobacillus sp. WCH70 appears to be a highly adaptable organism, with an exceptionally high 125 annotated transposons in the genome. The organism also possesses four predicted restriction-modification systems not found in other Geobacillus species.

Entities:  

Keywords:  Geobacillus sp. WCH70; Restriction-modification; Thermophile; Transposons; Wood compost

Year:  2016        PMID: 27123157      PMCID: PMC4847372          DOI: 10.1186/s40793-016-0153-y

Source DB:  PubMed          Journal:  Stand Genomic Sci        ISSN: 1944-3277


Introduction

Originally classified as members of the genus , species were reclassified into a separate genus based on properties such as 16S rRNA gene sequence analysis, lipid and fatty acid analysis, phenotypic characterization, and DNA–DNA hybridization experiments [1]. species have been isolated from high-temperature oilfields [2], a corroded pipeline in an extremely deep well [3], American [4, 5] African [6] and Russian [7] hot springs, marine vents [8], and the Mariana Trench [9]. In addition to these extreme environments, species are commonly found in composting materials [10]. Geobacillus. sp. WSUCF1 [11], [12] and [13] were isolated from high-temperature composts. The ability of species to thrive in these varied and often hostile environments suggests that these species possess enzymes suitable for applications in challenging industrial environments [14, 15]. As part of a program to identify organisms, we isolated species from a variety of composts in Middleton, WI. We report here the isolation and genome sequence of Geobacillus sp. WCH70, isolated from high-temperature wood compost.

Organism information

Classification and features

Geobacillus sp.WCH70 is a novel thermophilic species isolated from a hot wood compost pile (~70 °C) in Middleton, WI (43.097090° latitude and -89.504730° longitude). The organism was isolated from a piece of decaying wood by enrichment and plating on YTP-2 medium (YTP-2 media contains (per liter) 2.0 g yeast extract, 2.0 g tryptone, 2.0 g sodium pyruvate, 1.0 g KCl, 2.0 g KNO3, 2.0 g Na2HPO4.7H2O, 0.1 g MgSO4, 0.03 g CaCl2, and 2.0 ml clarified tomato juice) at 70 °C. The culture is available from the Genetic Stock Center. Cultures are routinely grown on tryptic soy broth without glucose (Difco) media and maintained on TSB agar plates. C5-6 Technologies, Lucigen, and the Joint Genome Institute have placed no restrictions on the use of the culture or sequence data. Geobacillus sp.WCH70 is a Gram-positive, rod-shaped facultative anaerobe (Table 1), with optimum growth temperature of 70 °C and maximum growth temperature of 80 °C. Geobacillus sp.WCH70 appears to grow as a mixture of single cells and large clumps in liquid culture (Fig. 1).
Table 1

Classification and general features of Geobacillus strain WCH70 [33]

MIGS IDPropertyTermEvidence codea
ClassificationDomain Bacteria TAS [34]
Phylum Firmicutes TAS [35]
Class Bacilli TAS [36, 37]
Order Bacillales TAS [38, 39]
Family Bacillaceae TAS [39, 40]
Genus Geobacillus TAS [1]
Species Geobacillus sp.
Strain: WCH70
Gram stainPositiveIDA
Cell shapeRods and chains of rodsIDA
MotilityMotileIDA
SporulationSubterminal sporesIDA
Temperature range55 °C to 80 °CIDA
Optimum temperature70 °CIDA
pH range; Optimum5.8-8.0; 7.5IDA
Carbon sourceCarbohydrate or proteinIDA
MIGS-6HabitatCompostIDA
MIGS-6.3SalinityNot reportedIDA
MIGS-22Oxygen requirementFacultative anaerobeIDA
MIGS-15Biotic relationshipFree-livingIDA
MIGS-14PathogenicityNon-pathogenIDA
MIGS-4Geographic locationMiddleton, WI, USAIDA
MIGS-5Sample collectionSeptember 2003IDA
MIGS-4.1Latitude43.097090IDA
MIGS-4.2Longitude-89.504730IDA
MIGS-4.4Altitude342TAS

aEvidence codes - IDA: Inferred from Direct Assay; TAS: Traceable Author Statement (i.e., a direct report exists in the literature); NAS: Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). These evidence codes are from the Gene Ontology project [41]

Fig. 1

Micrograph of Geobacillus sp. Y412MC52 cells showing individual cells and clumps of cells. Cells were grown in TSB plus 0.4 % glucose for 18 h. at 70 °C. A 1.0 ml aliquot was removed, centrifuged, re-suspended in 0.2 ml of sterile water, and stained using a 50 μM solution of SYTO® 9 fluorescent stain in sterile water (Molecular Probes). Dark field fluorescence microscopy was performed using a Nikon Eclipse TE2000-S epifluorescence microscope at 2000× magnification using a high-pressure Hg light source and a 500 nm emission filter

Classification and general features of Geobacillus strain WCH70 [33] aEvidence codes - IDA: Inferred from Direct Assay; TAS: Traceable Author Statement (i.e., a direct report exists in the literature); NAS: Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). These evidence codes are from the Gene Ontology project [41] Micrograph of Geobacillus sp. Y412MC52 cells showing individual cells and clumps of cells. Cells were grown in TSB plus 0.4 % glucose for 18 h. at 70 °C. A 1.0 ml aliquot was removed, centrifuged, re-suspended in 0.2 ml of sterile water, and stained using a 50 μM solution of SYTO® 9 fluorescent stain in sterile water (Molecular Probes). Dark field fluorescence microscopy was performed using a Nikon Eclipse TE2000-S epifluorescence microscope at 2000× magnification using a high-pressure Hg light source and a 500 nm emission filter A phylogenetic tree was constructed to identify the relationship of Geobacillus sp.WCH70 to other members of the family (Fig. 2). The phylogeny of Geobacillus sp.WCH70 was determined using one of the ten16S rRNA gene sequence (genome coordinates 10256 through 11801), as well as those of the type strains of all validly described spp. The 16S rRNA gene sequences were aligned using MUSCLE [16], pairwise distances were estimated using the Maximum Composite Likelihood (MCL) approach, and initial trees for heuristic search were obtained automatically by applying the Neighbour-Joining method in MEGA 5 [17]. The alignment and heuristic trees were then used to infer the phylogeny using the Maximum Likelihood method based on Tamura-Nei [18]. Comparison of 16 S rRNA sequences shows Geobacillus sp.WCH70 clades with other 42 to 45 % G + C content species including , G. caldoxylolyticus, and and is most closely related to and . Bootstrap analysis indicates that and are more closely related to each other than to Geobacillus sp.WCH70, suggesting Geobacillus sp.WCH70 may be a new Geobacillus sp. Essentially identical trees were obtained when the other nine Geobacillus sp.WCH70 16S rRNA gene sequences were used to generate phylogenetic trees.
Fig. 2

The evolutionary history was inferred by using the Maximum Likelihood method based on the Tamura-Nei model [18]. The bootstrap consensus tree inferred from 500 replicates [42] is taken to represent the evolutionary history of the taxa analyzed [42]. Branches corresponding to partitions reproduced in less than 50 % bootstrap replicates are collapsed. The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (500 replicates) are shown next to the branches [42]. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. The analysis involved 26 nucleotide sequences. All positions containing gaps and missing data were eliminated. There were a total of 1271 positions in the final dataset. Evolutionary analyses were conducted in MEGA5 [17]. The type strains of all validly described species are included (NCBI accession numbers): G. caldoxylosilyticus ATCC700356T (AF067651), G. galactosidasius CF1BT (AM408559), G. jurassicus DS1T (FN428697), G. kaustophilus NCIMB8547T (X60618), G. lituanicus N-3T (AY044055), G. stearothermophilus R-35646T (FN428694), G. subterraneus 34T (AF276306), G. thermantarcticus DSM9572T (FR749957), G. thermocatenulatus BGSC93A1T (AY608935), G. thermodenitrificans R-35647T (FN538993), G. thermoglucosidasius BGSC95A1T (FN428685), G. thermoleovorans DSM5366T (Z26923), G. toebii BK-1T (FN428690), G. uzenensis UT (AF276304) and G. vulcani 3S-1T (AJ293805). The 16S rRNA sequence of Paenibacillus lautusJCM9073T (AB073188) was used to root the tree

The evolutionary history was inferred by using the Maximum Likelihood method based on the Tamura-Nei model [18]. The bootstrap consensus tree inferred from 500 replicates [42] is taken to represent the evolutionary history of the taxa analyzed [42]. Branches corresponding to partitions reproduced in less than 50 % bootstrap replicates are collapsed. The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (500 replicates) are shown next to the branches [42]. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. The analysis involved 26 nucleotide sequences. All positions containing gaps and missing data were eliminated. There were a total of 1271 positions in the final dataset. Evolutionary analyses were conducted in MEGA5 [17]. The type strains of all validly described species are included (NCBI accession numbers): G. caldoxylosilyticus ATCC700356T (AF067651), G. galactosidasius CF1BT (AM408559), G. jurassicus DS1T (FN428697), G. kaustophilus NCIMB8547T (X60618), G. lituanicus N-3T (AY044055), G. stearothermophilus R-35646T (FN428694), G. subterraneus 34T (AF276306), G. thermantarcticus DSM9572T (FR749957), G. thermocatenulatus BGSC93A1T (AY608935), G. thermodenitrificans R-35647T (FN538993), G. thermoglucosidasius BGSC95A1T (FN428685), G. thermoleovorans DSM5366T (Z26923), G. toebii BK-1T (FN428690), G. uzenensis UT (AF276304) and G. vulcani 3S-1T (AJ293805). The 16S rRNA sequence of Paenibacillus lautusJCM9073T (AB073188) was used to root the tree

Genome sequencing information

Genome project history

Geobacillus sp.WCH70 was selected for sequencing on the basis of its biotechnological potential as part of the U.S. Department of Energy’s Genomic Science program (formerly Genomics:GTL). The genome sequence is deposited in the Genomes On Line Database [19, 20] (GOLD ID = Ga0028898), and in GenBank (NCBI Reference Sequence = CP001638.1). Sequencing, finishing and annotation were performed by the DOE JGI. A summary of the project information and its association with MIGS identifiers is shown in Table 2.
Table 2

Project information

MIGS IDPropertyTerm
MIGS 31Finishing qualityFinished
MIGS-28Libraries used8 Kb and 40 Kb
MIGS 29Sequencing platformsSanger and 454
MIGS 31.2Fold coverage13 ×
MIGS 30AssemblersPhred/Phrap/Consed
MIGS 32Gene calling methodProdigal, GenePRIMP
Locus TagGWCH70
Genbank IDNC_012793
GenBank Date of ReleaseDecember 1, 2009
GOLD IDGs0012167
BIOPROJECTPRJNA20805
MIGS 13Source Material IdentifierGenome
Project relevanceBiotechnological
Project information

Growth conditions and genomic DNA preparation

For preparation of genomic DNA, one liter cultures of Geobacillus sp.WCH70 were grown from a single colony in YTP-2 medium at 70 °C in flasks agitated at 200 rpm and collected by centrifugation. Culture stocks were maintained on YTP-2 agar plates grown at 70 °C. The cell concentrate was lysed using a combination of SDS and proteinase K, and genomic DNA was isolated using a phenol/chloroform extraction. The genomic DNA was precipitated, and treated with RNase to remove residual contaminating RNA. The purity and concentration of the recovered DNA was determined by gel electrophoresis in 0.7 % agarose containing ethidium bromide. Low and high molecular weight lambda DNA ladders were used as standards. The purity,and quantity of the recovered DNA was also independently confirmed by the JGI as suitable for sequencing prior to initiation of the project.

Genome sequencing and assembly

The genome of Geobacillus sp.WCH70 was sequenced at the JGI using a combination of Sanger and 454 technologies [21]. Two Sanger libraries with average insert size of 8 Kb and 40 Kb (fosmid) were generated for this genome. In addition to Sanger sequencing, 454 pyrosequencing was done to a depth of 20x coverage. Draft assemblies were based on 52,102 total reads. All three libraries provided 12.7x coverage of the genome. The Phred/Phrap/Consed software package was used for sequence assembly and quality assessment [22-24] in the following finishing process. After the shotgun stage, reads were assembled with parallel phrap (High Performance Software, LLC). Possible mis-assemblies were corrected with gapResolutioin (Cliff Han, unpublished), Dupfinisher, or sequencing cloned bridging PCR fragments with subcloning. Gaps between contigs were closed by editing in Consed, by PCR and by Bubble PCR primer walks. A total of 2,285 additional reactions were necessary to close gaps and to raise the quality of the finished sequence. The completed genome sequences of contains 56,142 reads, achieving an average of 13-fold sequence coverage per base with an error rate less than 1 in 100,000.

Genome annotation

Genes were identified using Prodigal [25] as part of the Oak Ridge National Laboratory genome annotation pipeline, followed by a round of manual curation using the JGI GenePRIMP pipeline [26]. The predicted CDSs were translated and used to search the National Center for Biotechnology Information nonredundant database, UniProt, TIGRFam, Pfam, PRIAM, KEGG, COG, and InterPro databases. These data sources were combined to assert a product description for each predicted protein. Non-coding genes and miscellaneous features were predicted using tRNAscan-SE [26], RNAMMer [27], Rfam [28], TMHMM [29], and signalP [29].

Genome properties

The genome of Geobacillus sp.WCH70 consists of one circular chromosome (Table 3 and Fig. 3) of 3,464,618 bp and an average G + C content of 43 % and two circular plasmids of 33,899 and 10,287 bp and an average G + C content of 40 % (Table 4). There are 92 tRNA genes and 28 rRNA genes. There are 3,477 predicted protein-coding regions and 309 pseudogenes in the genome. A total of 2,373 genes (66.0 %) have been assigned a predicted function while the rest have been designated as hypothetical proteins (Table 4). The numbers of genes assigned to each COG functional category are listed in Table 5. About 39 % of the annotated genes were not assigned to a COG or have an unknown function.
Table 3

Summary of genome: one chromosome and 2 plasmids

LabelSize (Mb)TopologyINSDC identifierRefSeq ID
Chromosome3.46CircularCP001638.1NC_012793
Plasmid 10.034CircularCP001639.1NC_012794
Plasmid 20.010CircularCP001640.1NC_012790
Fig. 3

Graphical circular map of the Geobacillus sp. WCH70 chromosome. From outside to the center: Genes on forward strand (color by COG categories) Genes on reverse strand (color by COG categories) RNA genes (tRNAs green, rRNAs red, other RNAs black) GC content, GC skew

Table 4

Genome statistics

AttributeValue% of Total
Genome size (bp)3,508,804100.0
DNA coding (bp)3,033,42486.4
DNA G + C (bp)1,501,70842.8
DNA scaffolds3
Total genes3597100.0
Protein coding genes347796.7
RNA genes1203.3
Pseudo genes3098.6
Genes in internal clusters
Genes with function prediction237366.0
Genes assigned to COGs220161.2
Genes with Pfam domains294681.9
Genes with signal peptides1253.5
Genes with transmembrane helices80522.4
CRISPR repeats6
Table 5

Number of genes associated with general COG functional categories

CodeValue%ageDescription
J1958.0Translation, ribosomal structure and biogenesis
A00.0RNA processing and modification
K1435.8Transcription
L943.8Replication, recombination and repair
B10.1Chromatin structure and dynamics
D1024.2Cell cycle control, Cell division, chromosome partitioning
V652.6Defense mechanisms
T1044.2Signal transduction mechanisms
M1024.2Cell wall/membrane biogenesis
N622.5Cell motility
U331.4Intracellular trafficking and secretion
O974.0Posttranslational modification, protein turnover, chaperones
C1405.7Energy production and conversion
G1285.2Carbohydrate transport and metabolism
E2229.1Amino acid transport and metabolism
F712.9Nucleotide transport and metabolism
H1586.5Coenzyme transport and metabolism
I994.0Lipid transport and metabolism
P1315.3Inorganic ion transport and metabolism
Q451.8Secondary metabolites biosynthesis, transport and catabolism
R1947.9General function prediction only
S1576.4Function unknown
-139638.8Not in COGs

The total is based on the total number of protein coding genes in the genome

Summary of genome: one chromosome and 2 plasmids Graphical circular map of the Geobacillus sp. WCH70 chromosome. From outside to the center: Genes on forward strand (color by COG categories) Genes on reverse strand (color by COG categories) RNA genes (tRNAs green, rRNAs red, other RNAs black) GC content, GC skew Genome statistics Number of genes associated with general COG functional categories The total is based on the total number of protein coding genes in the genome

Insights from the genome sequence

The genome sequence of Geobacillus sp.WCH70 was compared to species with sequenced genomes. The lack of genome sequence information for and prevents direct comparisons with these two organisms that are most closely related to Geobacillus sp.WCH70 based on rRNA gene sequences. Geobacillus sp.WCH70 Average Nucleotide Identity values [30] were 86.5 to 86.7 % to five strains, 85.2 % to NUB3621, and 84.9 and 85.0 % for two strains. ANI values ranged from 75.3 to 76.3 % for 20 other strains including ATCC 7953, DSM 465, PSS2, and HTA426. These values mirror the relationships of Geobacillus sp.WCH70 to other species seen in the phylogenetic tree based on rRNA. In addition to being closely related to strains based on these two criteria, synteny plots reveal highly similar genome organizations in Geobacillus sp.WCH70 and C56-YS93 (Fig. 4).
Fig. 4

Synteny plot of Geobacillus sp. WCH70 versus G. thermoglucosidasius C56-YS93

Synteny plot of Geobacillus sp. WCH70 versus G. thermoglucosidasius C56-YS93 Geobacillus sp.WCH70 possesses a number of unusual features when compared to other species. A major feature of Geobacillus sp.WCH70 is the presence of 125 insertion-sequence (IS) elements predicted to code for transposons, significantly more elements than are found in sequenced strains of either or (Table 6). In addition to these IS elements, Geobacillus sp.WCH70 possesses four predicted restriction-modification gene clusters not found in other species. Genes GWCH70_1298 through GWCH70_1302 code for a predicted Type I restriction system most closely related to a system in VD021, while GWCH70_2032 through GWCH70_2034 and GWCH70_3440 through GWCH70_3444 code for predicted Type I restriction systems most closely related to systems in XZL4. Genes GWCH70_2067 through GWCH70_2069 code for a predicted Type III restriction system most closely related to a system in DSM 14005™. Genes GWCH70_1385 and GWCH70_1386 code for restriction system proteins most closely related to proteins in DSM 43021™. These restriction systems may facilitate transfer of DNA to and from other organisms in the compost microbiome.
Table 6

Comparison of predicted transposons

Function NameCOG idWCH70CIC9a NBRCb YUc YS93d GT20e M10EXGf
Transposase, IS605 familyCOG067562320100
REP element-mobilizing transposase RayTCOG19438010000
TransposaseCOG33163000000
Transposase, mutator typeCOG332815014743
Transposase, IS66 familyCOG343610000000
Transposase, IS204 familyCOG34649000001
Transposase, IS116 familyCOG354711010501
TransposaseCOG54217000000
TransposaseNot in WCH70041013131319
Total12571517261724

Geobacillus caldoxylosilyticus CIC9, Geobacillus caldoxylosilyticus NBRC 107762, Geobacillus thermoglucosidans YU, d Geobacillus thermoglucosidasius C56-YS93, e Geobacillus thermoglucosidasius GT20, f Geobacillus thermoglucosidasius M10EXG, Geobacillus thermoglucosidasius NBRC 107763

Comparison of predicted transposons Geobacillus caldoxylosilyticus CIC9, Geobacillus caldoxylosilyticus NBRC 107762, Geobacillus thermoglucosidans YU, d Geobacillus thermoglucosidasius C56-YS93, e Geobacillus thermoglucosidasius GT20, f Geobacillus thermoglucosidasius M10EXG, Geobacillus thermoglucosidasius NBRC 107763 Surprisingly, the genome of Geobacillus sp.WCH70 is lacking many of the predicted polysaccharide degradation clusters seen in other species [5], including the metabolic cluster for degrading hemicellulose [31]. The organism may utilize starch and other alpha-glucans based on the presence of a eleven-gene cluster GWCH70_0695 through GWCH70_0704 that is predicted to code for two, three-gene ABC carbohydrate transport systems, three alpha-amylase catalytic regions, an alpha-glucosidase, and a LacI family transcriptional regulator.

Conclusions

Geobacillus sp.WCH70 is a thermophilic gram-positive, spore-forming organism isolated from hot wood compost in the Middleton, WI area. Comparison of 16 S rRNA sequences showed the strain may be a new species, and is most closely related to and . The genome of has an average G + C content of 43 %, similar to that reported for (43.9 %) [13]. is reported to possess a 53.5 % average G + C content [12] significantly higher than the value for Geobacillus sp.WCH70. Six strains have 43.8 to 44.0 % average G + C content based on genomic sequence [32], similar to the value obtained for Geobacillus sp.WCH70. These G + C content values are lower than the 53 to 54 % obtained using chemical analyses [1, 12]. Genomic sequencing of and is necessary to clarify the relationships among Geobacillus sp.WCH70, and , and . The presence of 125 insertion-sequence (IS) elements predicted to code for transposons along with multiple restriction-modification systems suggests Geobacillus sp.WCH70 possesses a highly mutable chromosome, able to add or delete non-essential genes and gene clusters depending on the environmental conditions. Genomic sequencing of other species may help clarify if this mutability is a common element in other organisms in composts, or unique to Geobacillus sp.WCH70.
  33 in total

1.  Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.

Authors:  A Krogh; B Larsson; G von Heijne; E L Sonnhammer
Journal:  J Mol Biol       Date:  2001-01-19       Impact factor: 5.469

2.  Rfam: an RNA family database.

Authors:  Sam Griffiths-Jones; Alex Bateman; Mhairi Marshall; Ajay Khanna; Sean R Eddy
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

3.  MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

Authors:  Koichiro Tamura; Daniel Peterson; Nicholas Peterson; Glen Stecher; Masatoshi Nei; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2011-05-04       Impact factor: 16.240

4.  Base-calling of automated sequencer traces using phred. II. Error probabilities.

Authors:  B Ewing; P Green
Journal:  Genome Res       Date:  1998-03       Impact factor: 9.043

5.  Consed: a graphical tool for sequence finishing.

Authors:  D Gordon; C Abajian; P Green
Journal:  Genome Res       Date:  1998-03       Impact factor: 9.043

6.  Towards a taxonomic coherence between average nucleotide identity and 16S rRNA gene sequence similarity for species demarcation of prokaryotes.

Authors:  Mincheol Kim; Hyun-Seok Oh; Sang-Cheol Park; Jongsik Chun
Journal:  Int J Syst Evol Microbiol       Date:  2014-02       Impact factor: 2.747

7.  Geobacillus galactosidasius sp. nov., a new thermophilic galactosidase-producing bacterium isolated from compost.

Authors:  Annarita Poli; Giusi Laezza; Reyhan Gul-Guven; Pierangelo Orlando; Barbara Nicolaus
Journal:  Syst Appl Microbiol       Date:  2011-06-08       Impact factor: 4.022

8.  Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees.

Authors:  K Tamura; M Nei
Journal:  Mol Biol Evol       Date:  1993-05       Impact factor: 16.240

9.  The Genomes On Line Database (GOLD) in 2009: status of genomic and metagenomic projects and their associated metadata.

Authors:  Konstantinos Liolios; I-Min A Chen; Konstantinos Mavromatis; Nektarios Tavernarakis; Philip Hugenholtz; Victor M Markowitz; Nikos C Kyrpides
Journal:  Nucleic Acids Res       Date:  2009-11-13       Impact factor: 16.971

10.  The Genomes On Line Database (GOLD) v.2: a monitor of genome projects worldwide.

Authors:  Konstantinos Liolios; Nektarios Tavernarakis; Philip Hugenholtz; Nikos C Kyrpides
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

View more
  1 in total

1.  Coexistence of Heavy Metal Tolerance and Antibiotic Resistance in Thermophilic Bacteria Belonging to Genus Geobacillus.

Authors:  Ishfaq Nabi Najar; Sayak Das; Santosh Kumar; Prayatna Sharma; Krishnendu Mondal; Mingma Thundu Sherpa; Nagendra Thakur
Journal:  Front Microbiol       Date:  2022-08-25       Impact factor: 6.064

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.