Title |
Basic Characterization of Natural Transformation in a Highly Transformable Haemophilus parasuis Strain SC1401
|
---|---|
Published in |
Frontiers in Cellular and Infection Microbiology, February 2018
|
DOI | 10.3389/fcimb.2018.00032 |
Pubmed ID | |
Authors |
Ke Dai, Lvqin He, Yung-Fu Chang, Sanjie Cao, Qin Zhao, Xiaobo Huang, Rui Wu, Yong Huang, Qigui Yan, Xinfeng Han, Xiaoping Ma, Xintian Wen, Yiping Wen |
Abstract |
Haemophilus parasuis causes Glässer's disease and pneumonia, incurring serious economic losses in the porcine industry. In this study, natural competence was investigated inH. parasuis. We found competence genes inH. parasuishomologous to ones inHaemophilus influenzaeand a high consensus battery of Sxy-dependent cyclic AMP (cAMP) receptor protein (CRP-S) regulons using bioinformatics. High rates of natural competence were found from the onset of stationary-phase growth condition to mid-stationary phase (OD600from 0.29 to 1.735); this rapidly dropped off as cells reached mid-stationary phase (OD600from 1.735 to 1.625). As a whole, bacteria cultured in liquid media were observed to have lower competence levels than those grown on solid media plates. We also revealed that natural transformation in this species is stable after 200 passages and is largely dependent on DNA concentration. Transformation competition experiments showed that heterogeneous DNA cannot outcompete intraspecific natural transformation, suggesting an endogenous uptake sequence or other molecular markers may be important in differentiating heterogeneous DNA. We performed qRT-PCR targeting multiple putative competence genes in an effort to compare bacteria pre-cultured in TSB++ vs. TSA++ and SC1401 vs. SH0165 to determine expression profiles of the homologs of competence-genes inH. influenzae. Taken together, this study is the first to investigate natural transformation inH. parasuisbased on a highly naturally transformable strain SC1401. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 20% |
Student > Ph. D. Student | 4 | 20% |
Researcher | 3 | 15% |
Student > Doctoral Student | 2 | 10% |
Student > Postgraduate | 1 | 5% |
Other | 0 | 0% |
Unknown | 6 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 30% |
Veterinary Science and Veterinary Medicine | 3 | 15% |
Agricultural and Biological Sciences | 2 | 10% |
Immunology and Microbiology | 2 | 10% |
Computer Science | 1 | 5% |
Other | 0 | 0% |
Unknown | 6 | 30% |