Back

Comparative analysis of whole genome sequences of Leptospira spp. from RefSeq database provide interspecific divergence and repertoire of virulence factors

Abdullah, M.; Kadivella, M.; Sharma, R.; Baig, M. S.; Azam, S.; Faisal, S. M.

2021-01-13 genomics
10.1101/2021.01.12.426470 bioRxiv
Show abstract

Leptospirosis is an emerging zoonotic and neglected disease across the world causing huge loss of life and economy. The disease is caused by Leptospira of which 605 sequenced genomes representing 72 species are available in RefSeq database. A comparative genomics approach based on Average Amino acid Identity (AAI), Average Nucleotide Identity (ANI), and Insilco DNA-DNA hybridization provide insight that taxonomic and evolutionary position of few genomes needs to be changed and reclassified. Clustering on the basis of AAI of core and pan-genome contradict clustering pattern on basis of ANI into 4 clusters. Amino acid identity based hierarchical clustering clearly established 3 clusters of Leptospira correlating with level of virulence. Whole genome tree supported three cluster classifications and grouped Leptospira into three clades termed as pathogenic, intermediate and saprophytic. Leptospira genus consist of diverse species and exist in heterogeneous environment, it contains relatively large and closed core genome of 1038 genes. Analysis provided pan genome remains open with 20822 genes. COG analysis revealed that mobilome related genes were found mainly in pan-genome of pathogenic clade. Clade specific genes mined in the study can be used as marker for determining clade and associating level of virulence of any new Leptospira species. Many known Leptospira virulent genes were absent in set of 78 virulent factors mined using Virulence Factor database. A deep search approach provided a repertoire of 496 virulent genes in pan-genome. Further validation of virulent genes will help in accurately targeting pathogenic Leptospira and controlling leptospirosis. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=120 SRC="FIGDIR/small/426470v2_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@104babborg.highwire.dtl.DTLVardef@17f727dorg.highwire.dtl.DTLVardef@35a6c1org.highwire.dtl.DTLVardef@56fd53_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Genomics
64 papers in training set
Top 0.1%
18.9%
2
Frontiers in Microbiology
427 papers in training set
Top 0.6%
11.3%
3
Scientific Reports
3612 papers in training set
Top 10%
6.9%
4
BMC Genomics
406 papers in training set
Top 1%
5.0%
5
Microbial Genomics
225 papers in training set
Top 0.8%
4.4%
6
Frontiers in Cellular and Infection Microbiology
109 papers in training set
Top 0.5%
3.3%
7
PLOS ONE
5266 papers in training set
Top 37%
3.3%
50% of probability mass above
8
Current Microbiology
18 papers in training set
Top 0.2%
2.8%
9
International Journal of Systematic and Evolutionary Microbiology
14 papers in training set
Top 0.1%
2.7%
10
PeerJ
308 papers in training set
Top 3%
2.5%
11
Frontiers in Genetics
230 papers in training set
Top 2%
2.2%
12
Microorganisms
106 papers in training set
Top 1%
2.0%
13
Microbiology Spectrum
469 papers in training set
Top 7%
1.8%
14
mSystems
394 papers in training set
Top 4%
1.5%
15
Gene Reports
14 papers in training set
Top 0.4%
1.5%
16
Heliyon
152 papers in training set
Top 4%
1.4%
17
Genome Biology and Evolution
338 papers in training set
Top 2%
1.2%
18
Microbiology Resource Announcements
25 papers in training set
Top 0.3%
1.2%
19
Virulence
25 papers in training set
Top 0.4%
1.2%
20
Virus Research
37 papers in training set
Top 0.5%
1.2%
21
mSphere
302 papers in training set
Top 5%
1.2%
22
International Journal of Biological Macromolecules
76 papers in training set
Top 1%
1.2%
23
Infection, Genetics and Evolution
42 papers in training set
Top 0.7%
1.0%
24
Journal of Global Antimicrobial Resistance
17 papers in training set
Top 0.5%
0.9%
25
PLOS Neglected Tropical Diseases
466 papers in training set
Top 5%
0.9%
26
BMC Microbiology
49 papers in training set
Top 1%
0.9%
27
Frontiers in Plant Science
256 papers in training set
Top 4%
0.9%
28
G3 Genes|Genomes|Genetics
351 papers in training set
Top 4%
0.9%
29
Pathogens
56 papers in training set
Top 2%
0.6%
30
Poultry Science
10 papers in training set
Top 0.2%
0.6%