Anikster Y, Eilam T, Bushnell W R, Kosman E
Department of Botany and Institute for Cereal Crops Improvement, Tel Aviv University, Ramat Aviv, 69978, Israel.
Mycologia. 2005 Mar-Apr;97(2):474-84. doi: 10.3852/mycologia.97.2.474.
Digital image analysis was used to measure dimensions of spores produced by Puccinia coronata, P. graminis, P. hordei, P. recondita, P. striiformis and P. triticina. Included were teliospores, basidiospores, urediniospores and, except for P. striiformis, pycniospores and aeciospores. Length, width and projection area of spores were measured with NIH Image or Scion software. By using limits on size, spores were automatically selected and measured, except for teliospores, which required manual elimination of the pedicel and separation of images of adhering spores. Length and width were determined as the major and minor axes of the best fitting ellipse for each spore. This procedure gave values for length and width close to results obtained with an ocular micrometer. Projection area was determined as the number of pixels within spore boundaries multiplied by the area represented by each pixel, giving values that are not feasible to obtain accurately with an ocular micrometer. Of the species studied, spores of P. recondita had the largest dimensions, P. triticina had the smallest. The rank of the six species based on increasing width, length or projection area was almost the same, using each spore type except pycniospores. Generally, differences of 5% in a given spore dimension between two species were significant. Differences between species were greater with basidiospores and aeciospores than with other spore types. Teliospores were unique in that length and width were negatively correlated, resulting in less variation in area than in length or width. The results indicate that image analysis is useful for measuring spore dimensions, that projection area of spores is a useful added parameter for characterizing rust species and that dimensions of teliospores, basidiospores, aeciospores and urediniospores each are potentially useful for differentiating species.
利用数字图像分析技术测量了冠柄锈菌、禾柄锈菌、大麦柄锈菌、隐匿柄锈菌、条锈菌和小麦叶锈菌产生的孢子尺寸。测量的孢子类型包括冬孢子、担子孢子、夏孢子,除条锈菌外,还包括性孢子和锈孢子。使用美国国立卫生研究院图像软件或Scion软件测量孢子的长度、宽度和投影面积。通过设置尺寸限制,除冬孢子外,其他孢子均可自动选择并测量,冬孢子需要手动去除柄部并分离粘连孢子的图像。长度和宽度被确定为每个孢子最佳拟合椭圆的长轴和短轴。该方法得到的长度和宽度值与用目镜测微计得到的结果相近。投影面积通过孢子边界内的像素数量乘以每个像素代表的面积来确定,该值用目镜测微计难以准确获得。在所研究的物种中,隐匿柄锈菌的孢子尺寸最大,小麦叶锈菌的孢子尺寸最小。除性孢子外,基于宽度、长度或投影面积增加对这六个物种进行排序,结果几乎相同。一般来说,两个物种在给定孢子尺寸上5%的差异具有显著性。担子孢子和锈孢子物种间的差异比其他孢子类型更大。冬孢子的独特之处在于其长度和宽度呈负相关,导致其面积变化小于长度或宽度变化。结果表明,图像分析可用于测量孢子尺寸,孢子的投影面积是表征锈菌物种的一个有用的附加参数,冬孢子、担子孢子、锈孢子和夏孢子的尺寸均可能有助于区分物种。