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Plant Diversity ›› 2011, Vol. 33 ›› Issue (5): 503-.DOI: 10.3724/SP.J.1143.2011.11044

• 研究论文 • 上一篇    下一篇

利用腊叶标本初探椭圆叶花锚 (龙胆科) 花特征的地理变异

 王林林1, 赵明富1, 王赟2, 段元文2, 杨永平2   

  1. 1 云南农业大学植物保护学院,云南 昆明650201;2 中国科学院青藏高原研究所昆明部,云南 昆明650201
  • 收稿日期:2011-03-10 出版日期:2011-10-25 发布日期:2011-07-27
  • 基金资助:

    国家重点基础发展规划项目(2010CB951704),中国科学院重要方向性项目(KSCX2-YW-2-1019)和国家自然科学基金(31070337)

A Preliminary Study on Geographical Variations in Floral Traits of Halenia elliptica (Gentianaceae) Based on Herbaria

WANG  Lin-Lin-1, ZHAO  Ming-Fu-1, WANG  Yun-2, DUAN  Yuan-Wen-2, YANG  Yong-Ping-2   

  1. 1 College of Plant Protection, Yunnan Agricultural University, Kunming 650201, China; 2 Institute of Tibetan
    Plateau Research at Kunming, Chinese Academy of Sciences, Kunming 650201, China
  • Received:2011-03-10 Online:2011-10-25 Published:2011-07-27
  • Supported by:

    国家重点基础发展规划项目(2010CB951704),中国科学院重要方向性项目(KSCX2-YW-2-1019)和国家自然科学基金(31070337)

摘要:

对一种植物花特征的地理变异及其选择压力研究首先需要了解该植物花特征在不同地区的变异式样,而利用腊叶标本是获取植物花特征地理变异的理想方法。我们利用椭圆叶花锚的腊叶标本,通过测量花的高度和距的长度,并与地理因子(海拔、纬度和经度)做回归分析,探讨椭圆叶花锚两个变种的花特征及其地理变异式样。结果表明:1)已鉴定为两个变种的距长度并没有明显的差异,而且变种大花花锚的距长度均在原变种卵萼花锚的变化范围之内;如果不考虑两个变种,椭圆叶花锚的距长度变化不存在明显的间断,因此研究结果不支持将椭圆叶花锚分为两个变种;2)椭圆叶花锚的花高度和距长度呈显著的正相关关系,而且99%的数据都在预测回归99%的置信区间内,表明花高度和距长度可能受到了相同选择压力的驱动;但仍有1%的点在预测区间之外,表明这些地点的花经历的选择压力可能与其它多数分布地点的选择压力不尽相同;3)椭圆叶花锚花的几何大小与纬度和海拔呈显著的负相关关系,而与经度呈显著的正相关关系;依据三个因子的回归系数,纬度(-2.735)对椭圆叶花锚花大小的影响最大,而海拔(-0.516)和经度(0.669)相对较小,因此如果要开展椭圆叶花锚花特征的地理变异研究,在纬度不同的地点开展相关研究将获得更为理想的数据。我们的研究结果表明椭圆叶花锚花特征地理变异可能存在不同的选择压力,而开展相关的野外观察和实验将极大的丰富我们对椭圆叶花锚的花特征地理变异及其选择压力的理解,并为如何利用腊叶标本开展相关研究提供一个思路。

关键词: 花高度, 距长度, 花大小, 选择压力, 变种, 回归分析

Abstract:

Studies on the intraspecific variations of flower traits among different populations, which might result from the selective pressures of different pollinator faunas, could enhance our understanding on the evolution of flower diversity. The first study process is to detect how flower traits of a plant species change in its whole distribution area, which could be observed and measured from herbarium’s specimens. By means of observing and measuring most specimens from several herbaria (PE, KUN, QTPMB, WUK) in China, we presented the patterns of geographical variations in floral traits of Halenia elliptica, which has been identified as two varieties (H.elliptica var. elliptica and H.elliptica var. grandiflora) in light of the differences of flower diameter. We used data of the flower height and spur length to analyze the relationship between flower size and altitude, latitude and longitude using stepwise linear regression. We found that the spur length of H.elliptica var. grandiflora was in the range of H.elliptica var. elliptica, and there was no obvious gap to support the previous taxonomic treatment splitting into two varieties. There was a significant positive relationship between flower height and spur length, and 99% of our data were fallen into the 99% individual prediction interval, suggesting that both flower height and spur length might have experienced the same selective pressure. However, 1% of our data were not fallen into the prediction interval, and this might indicate that the flower height and spur length might have been driven by different selective pressures in comparison with most of the population of H.elliptica. After stepwise linear regression analysis, we found the geometric flower size of this species was negatively correlated with latitude and altitude, but positively correlated with longitude. Furthermore, according to the regression coefficients of each factors, the flower size was affected more by latitude (-2.735) than by altitude (-0.516) and longitude (0.669), which indicates that the geographical variations of flower traits of H.elliptica might change along a latitudinal gradient. Our results suggested that the flower traits of H.elliptica might have been driven by different selective pressures, but the direct evidence from field observations and experiments are absolutely necessary. Furthermore, this study provides a case study to better use herbarium specimens as prerequisites for field researches of floral diversity.

Key words: Flower height, Spur length, Flower size, Selective pressure, Variety, Regression analysis

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