Genetic Diversity of Peanut Landraces in Guizhou Province

2013 ◽  
Vol 38 (8) ◽  
pp. 1387-1396
Author(s):  
Mao LIN ◽  
Zheng-Qiang LI ◽  
Zhi-Hong ZHENG ◽  
Jian-Wei LÜ ◽  
Tian-Jin MA ◽  
...  
2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Siwei Wang ◽  
Jiang Zhou

Guizhou golden monkey (Rhinopithecus brelichi) was a unique, endangered and endemic primate species in Guizhou Province. It was an isolated population caused by habitat loss and fragmentation due to the human disturbance in the recently 30 years in China, only distributed in Fanjing Mountain National Natural Reserve, Guizhou Province. To know the background with demonic population structure, we sequenced 867 bp of the mitochondrial DNA D-loop from 312 fresh fecal samples, results showed there 11 haplotypes among these samples, h was 0.517, π was 0.00413. It indicated that this species had the lowest genetic diversity among four golden monkeys in China and need strengthen the conversation concern for this species immediately.


2021 ◽  
Author(s):  
Yichen Zhao ◽  
Runying Wang ◽  
Qing Liu ◽  
Xuan Dong ◽  
De-Gang Zhao

Abstract Background: The genetic abundance of ancient tea germplasm has been preserved in the long evolution process, which provides valuable resources for the protection and breed selection of ancient tea germplasm. However, the limited studies related to the genetic diversity of ancient tea germplasm restrict protection and breed selection. Therefore, the genetic diversity of ancient tea germplasm in Sandu county of Guizhou Province was explored in this study. II.Methods and Results: The genetic diversity was analyzed using phenotypes and SSR markers. The ranges for the variation coefficients of the six quantitative and seven qualitative characters were 17.76%-60.37% and 18.58%-50.64%, respectively. The ranges of diversity indices of the six quantitative and seven qualitative characters were 1.72-2.74 and 0.55-0.84, respectively. Ninety-six bands were amplified using 15 pairs of SSR primers from the 145 samples, and the average polymorphism information index was 0.66. The analysis revealed that the average values of Nei’s genetic diversity index (H) and the Shannon information index (I) are 0.26 and 0.41, respectively. Further, a genetic similarity coefficient of 0.734 shown by UPGMA dendrogram classified the 145 samples decreased into four groups. III.Conclusions: This study revealed the rich phenotypic variation and high molecular genetic diversity and the genetic diversity of the arbor is higher than that of the shrub of the ancient tea germplasm in Sandu of Guizhou province. Thus, this study not only provides a theoretical basis for the protection and breed selection but also promotes further research of ancient tea germplasm.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Litang Lu ◽  
Hufang Chen ◽  
Xiaojing Wang ◽  
Yichen Zhao ◽  
Xinzhuan Yao ◽  
...  

AbstractThe ancient tea plant, as a precious natural resource and source of tea plant genetic diversity, is of great value for studying the evolutionary mechanism, diversification, and domestication of plants. The overall genetic diversity among ancient tea plants and the genetic changes that occurred during natural selection remain poorly understood. Here, we report the genome resequencing of eight different groups consisting of 120 ancient tea plants: six groups from Guizhou Province and two groups from Yunnan Province. Based on the 8,082,370 identified high-quality SNPs, we constructed phylogenetic relationships, assessed population structure, and performed genome-wide association studies (GWAS). Our phylogenetic analysis showed that the 120 ancient tea plants were mainly clustered into three groups and five single branches, which is consistent with the results of principal component analysis (PCA). Ancient tea plants were further divided into seven subpopulations based on genetic structure analysis. Moreover, it was found that the variation in ancient tea plants was not reduced by pressure from the external natural environment or artificial breeding (nonsynonymous/synonymous = 1.05). By integrating GWAS, selection signals, and gene function prediction, four candidate genes were significantly associated with three leaf traits, and two candidate genes were significantly associated with plant type. These candidate genes can be used for further functional characterization and genetic improvement of tea plants.


Planta Medica ◽  
2008 ◽  
Vol 74 (09) ◽  
Author(s):  
YH Kim ◽  
JA Ryuk ◽  
BS Ko ◽  
JW Lee ◽  
SE Oh ◽  
...  

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