Research Support, Non-U.S. Gov'ts
- Phylogenetic Relationships of Korean Sparassis latifolia Based on Morphological and ITS rDNA Characteristics
-
Rhim Ryoo , Hong-Duck Sou , Kang-Hyeon Ka , Hyun Park
-
J. Microbiol. 2013;51(1):43-48. Published online March 2, 2013
-
DOI: https://doi.org/10.1007/s12275-013-2503-4
-
-
41
View
-
0
Download
-
22
Scopus
-
Abstract
-
Recent studies based on morphological characteristics and molecular analyses have revealed that the characteristics of Sparassis crispa from Asia are not concordant with those of collections from Europe and North America. Consequently, the Asian isolate was redefined as Sparassis latifolia. This study is the first report of Sparassis latifolia collected in Korea. The taxonomic relationships and replacement of Sparassis species were inferred from a comparison of the morphological characteristics and by molecular sequence analysis of the internal transcribed spacer (ITS) rDNA regions. In particular, this study focused on the phylogenetic relationships inferred from the biogeographical distribution of isolates within the genus Sparassis.
- Genetic Diversity and Structure of Cordyceps sinensis Populations from Extensive Geographical Regions in China as Revealed by Inter-Simple Sequence Repeat Markers
-
Hong-Hui Liang , Zhou Cheng , Xiao-Ling Yang , Shan Li , Zu-Quan Ding , Tong-Shui Zhou , Wen-Ju Zhang , Jia-Kuan Chen
-
J. Microbiol. 2008;46(5):549-556. Published online October 31, 2008
-
DOI: https://doi.org/10.1007/s12275-008-0107-1
-
-
42
View
-
0
Download
-
41
Scopus
-
Abstract
-
Cordyceps sinensis is one of the most valuable medicinal caterpillar fungi native to China. However, its productivity is extremely limited and the species is becoming endangered. The genetic diversity of eighteen C. sinensis populations across its major distributing regions in China was evaluated by inter-simple sequence
repeat (ISSR) markers. A total of 141 markers were produced in 180 individuals from the 18 populations, of which 99.3% were polymorphic. The low average of Shannon (0.104) and Nei index (0.07) of the 18 populations indicates that there are little genetic variations within populations. For all 18 populations, estimates of total gene diversity (HT), gene diversity within populations (HS), coefficient of genetic differentiation (GST), and gene flow (Nm) were 0.170, 0.071, 0.583, and 0.357, respectively. This pattern suggests that the genetic diversity of C. sinensis is low and most of the ISSR variations are found among populations with little gene exchange. The 18 populations are divided into five groups based on the genetic distance and the grouping pattern matches with the geographic distribution along the latitudinal gradient. The five groups show obvious difference in the GST and Nm values. Therefore, the genetic diversification of C. sinensis populations may be determined by geographic isolation and the combined effects of life history characters and the interaction with host insect species. The information illustrated by this study is useful for selecting in situ conservation sites of C. sinensis.
Introductory Journal Article
- [Editorial]Omics-based microbiome analysis in microbial ecology: from sequences to information
-
Jang-Cheon Cho
-
J. Microbiol. 2021;59(3):229-232.
-
DOI: https://doi.org/10.1007/s12275-021-0698-3
-
-
55
View
-
0
Download
-
5
Web of Science
-
5
Crossref
-
Abstract
-
Microbial ecology is the study of microorganisms present in
nature. It particularly focuses on microbial interactions with
any biota and with surrounding environments. Microbial
ecology is entering its golden age with innovative multi-omics
methods
triggered by next-generation sequencing technologies.
However, the extraction of ecologically relevant information
from ever-increasing omics data remains one of
the most challenging tasks in microbial ecology. This special
issue includes 11 review articles that provide an overview of
the state of the art of omics-based approaches in the field of
microbial ecology, with particular emphasis on the interpretation
of omics data, environmental pollution tracking,
interactions in microbiomes, and viral ecology.
-
Citations
Citations to this article as recorded by

- Advancing early warning and surveillance for zoonotic diseases under climate change: Interdisciplinary systematic perspectives
Chen-Xi Wang, Le-Shan Xiu, Qin-Qin Hu, Tung-Chun Lee, Jia Liu, Leilei Shi, Xiao-Nong Zhou, Xiao-Kui Guo, Liyuan Hou, Kun Yin
Advances in Climate Change Research.2023; 14(6): 814. CrossRef - Mercury methylation in boreal aquatic ecosystems under oxic conditions and climate change: a review
Juanjo Rodríguez
Frontiers in Marine Science.2023;[Epub] CrossRef - Analyzing Modern Biomolecules: The Revolution of Nucleic-Acid Sequencing – Review
Gabriel Dorado, Sergio Gálvez, Teresa E. Rosales, Víctor F. Vásquez, Pilar Hernández
Biomolecules.2021; 11(8): 1111. CrossRef - Microbial diversity analysis of two full-scale seawater desalination treatment trains provides insights into detrimental biofilm formation
Mircea Podar, Amanda L. May, Weiliang Bai, Kellie Peyton, Dawn M. Klingeman, Cynthia M. Swift, Devan A.F. Linson, Jacques Mathieu, Daniel Siljeström, Ignacio Beneyto, Lauren B. Stadler, Yosef Pinhas, Frank E. Löffler, Pedro J.J. Alvarez, Manish Kumar
Journal of Membrane Science Letters.2021; 1(1): 100001. CrossRef - Removal of PCR inhibitors from soil DNA by chemical flocculation
Michael D Braid, Laura M Daniels, Christopher L Kitts
Journal of Microbiological Methods.2003; 52(3): 389. CrossRef