Kana Suzuki, Daisuke Nakane, Masaki Mizutani, Takayuki Nishizaka
{"title":"Gliding direction of <i>Mycoplasma mobile</i> correlates with the curved configuration of its cell shape.","authors":"Kana Suzuki, Daisuke Nakane, Masaki Mizutani, Takayuki Nishizaka","doi":"10.2142/biophysico.bppb-v22.0006","DOIUrl":null,"url":null,"abstract":"<p><p>The gliding motility of bacteria is not linear but somehow exhibits a curved trajectory. This general observation is explained by the helical structure of protein tracks (Nakane et al., 2013) or the asymmetric array of gliding machineries (Morio et al., 2016), but these interpretations have not been directly examined. Here, we introduced a simple assumption: the gliding trajectory of <i>M. mobile</i> is guided by the cell shape. To test this idea, the intensity profile of a bacterium, <i>Mycoplasma mobile</i>, was analyzed and reconstructed at the single-cell level from images captured under a highly stable dark-field microscope, which minimized the mechanical drift and noise during sequential image recording. The raw image with the size of ~1 μm, which is about four times larger than the diffraction limit of visible light, was successfully fitted by double Gaussians to quantitatively determine the curved configuration of its shape. By comparing the shape and curvature of a gliding motility, we found that the protruded portion of <i>M. mobile</i> correlated with, or possibly guided, its gliding direction. Considering the balance between decomposed gliding force and torque as a drag, a simple and general model that explains the curved trajectory of biomolecules under a low Reynolds number is proposed.</p>","PeriodicalId":101323,"journal":{"name":"Biophysics and physicobiology","volume":"22 1","pages":"e220006"},"PeriodicalIF":1.6000,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12018303/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biophysics and physicobiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2142/biophysico.bppb-v22.0006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
The gliding motility of bacteria is not linear but somehow exhibits a curved trajectory. This general observation is explained by the helical structure of protein tracks (Nakane et al., 2013) or the asymmetric array of gliding machineries (Morio et al., 2016), but these interpretations have not been directly examined. Here, we introduced a simple assumption: the gliding trajectory of M. mobile is guided by the cell shape. To test this idea, the intensity profile of a bacterium, Mycoplasma mobile, was analyzed and reconstructed at the single-cell level from images captured under a highly stable dark-field microscope, which minimized the mechanical drift and noise during sequential image recording. The raw image with the size of ~1 μm, which is about four times larger than the diffraction limit of visible light, was successfully fitted by double Gaussians to quantitatively determine the curved configuration of its shape. By comparing the shape and curvature of a gliding motility, we found that the protruded portion of M. mobile correlated with, or possibly guided, its gliding direction. Considering the balance between decomposed gliding force and torque as a drag, a simple and general model that explains the curved trajectory of biomolecules under a low Reynolds number is proposed.
细菌的滑行运动不是线性的,而是某种程度上呈现出曲线轨迹。这一普遍现象可以通过蛋白质轨迹的螺旋结构(Nakane et al., 2013)或滑动机械的不对称排列(Morio et al., 2016)来解释,但这些解释尚未得到直接检验。在这里,我们引入了一个简单的假设:M. mobile的滑动轨迹是由细胞形状引导的。为了验证这一想法,在高度稳定的暗场显微镜下,对一种名为移动支原体的细菌的强度谱进行了分析,并在单细胞水平上重建了图像,该显微镜在连续图像记录过程中最大限度地减少了机械漂移和噪声。用双高斯函数成功地拟合了尺寸为~1 μm(约为可见光衍射极限的4倍)的原始图像,定量地确定了其形状的弯曲结构。通过比较一个滑行运动体的形状和曲率,我们发现M. mobile的突出部分与它的滑行方向相关,或者可能引导它的滑行方向。考虑到分解后的滑动力和扭矩之间的平衡作为阻力,提出了一个简单而通用的模型来解释生物分子在低雷诺数下的弯曲轨迹。