摘要
本研究旨在研究砂生槐内生真菌的种类及种群丰富度,为保护性开发藏药植物砂生槐资源奠定基础。选用组织分离法对砂生槐不同部位进行内生真菌的分离,根据菌落特征、产孢特征和孢子特点对产孢类真菌进行初步鉴定。本实验对砂生槐的叶、刺、荚果、茎共468个组织块进行了分离培养,共获得77株菌,总分离率为16.45%,分离几率最高的部位是荚果(45.68%),内生真菌种类最丰富的部位为刺(0.88),根据菌落特征将77株内生真菌分为21种类型,通过子实体及其孢子特征将15个产孢的菌株鉴定为7个属,其中茎点霉属和毛壳菌属为优势种群。本研究进一步丰富了西藏砂生槐内生真菌的种类,为西藏砂生槐内生真菌代谢产物的开发和利用奠定了基础。
The purpose of this study is to study the species and abundance of endophytic fungi of Sophora moorcroftiana and lay a foundation for the conservational exploitation of Sophora moorcroftiana. Endophytic fungi were isolated from different parts of Sophora moorcroftiana by tissue separation method. According to the characteristics of colony, sporulation and spore characteristics, the spore-forming fungi were identified. In this experiment, 468 tissues of leaves,prickles, pods and stems of Sophora moorcroftiana were cultured. A total of 77 strains were obtained with a separation rate of 16.45%. The highest separation rate was pod（45.68%）, The most abundant sites of endophyte species were thorn（0.88）, and according to the characteristics of colony, 77 endophytic fungi were divided into 21 types and 15 spore-forming strains were identified as 7 genera by child entity and their spore characteristics. Among them, Phoma sp. and Chaetomium sp. were the dominant species. This experiment further enriched the species of endophytic fungi of Sophora moorcroftiana in Tibet and laid the foundation for the exploitation and utilization of the metabolites of endophytic fungi of Sophora moorcroftiana.
作者
庄华
岳海梅
ZHUANG Hua;YUE Haimei(College of Plant Protection,Northwest A ＆F University/State Key Laboratory of Crop Stress Biology for Arid Areas,Yangling Shanxi,712100 China;Plant Science Colloge,Tibet Agriculture and Animal Husbandry University,Nyingchi Tibet,860000 China)
出处
《高原农业》
2018年第1期13-18,25,共7页
Journal of Plateau Agriculture
基金
国家自然科学基金"西藏毛壳属真菌多样性及抑菌活性的研究(No.31360006)"
旱区作物逆境生物学国家重点实验室(西北农林科技大学)开放课题"西藏砂生槐内生真菌的分离及农用抑菌活性研究
CSBAA2016006"
作物学科建设项目(2015ZWXKJS
2016ZWXKJS)
关键词
砂生槐
内生真菌
分离
初步鉴定
Sophora moorcroftiana
Endophytic fungi
Separation
Preliminary identification
