scholarly journals Method for the determination of specific molecular markers of biomass burning in lake sediments

2014 ◽  
Vol 71 ◽  
pp. 1-6 ◽  
Author(s):  
T. Kirchgeorg ◽  
S. Schüpbach ◽  
N. Kehrwald ◽  
D.B. McWethy ◽  
C. Barbante
2021 ◽  
Vol 147 ◽  
pp. 106345
Author(s):  
Haiyang Chen ◽  
Chang Liu ◽  
Yanguo Teng ◽  
Zulin Zhang ◽  
Yihan Chen ◽  
...  

2010 ◽  
Vol 408 (23) ◽  
pp. 5836-5844 ◽  
Author(s):  
Pérola C. Vasconcellos ◽  
Davi Z. Souza ◽  
Odon Sanchez-Ccoyllo ◽  
José Oscar V. Bustillos ◽  
Helena Lee ◽  
...  

Chemosphere ◽  
2013 ◽  
Vol 93 (9) ◽  
pp. 1912-1919 ◽  
Author(s):  
Sopittaporn Sillapapiromsuk ◽  
Somporn Chantara ◽  
Urai Tengjaroenkul ◽  
Sukon Prasitwattanaseree ◽  
Tippawan Prapamontol

2018 ◽  
Vol 143 ◽  
pp. 264-271 ◽  
Author(s):  
Galina V. Pashkova ◽  
Tatyana S. Aisueva ◽  
Alexandr L. Finkelshtein ◽  
Tatyana Yu. Cherkashina ◽  
Alexandr A. Shchetnikov

1998 ◽  
Vol 88 (4) ◽  
pp. 292-299 ◽  
Author(s):  
Mario González ◽  
Raul Rodríguez ◽  
Maria Elena Zavala ◽  
Juan L. Jacobo ◽  
Fernando Hernández ◽  
...  

Differential cultivars and molecular markers were used to analyze 59 isolates of the bean anthracnose pathogen, Colletotrichum lindemuthianum, from different regions of Mexico. Ten distinct races were determined, three of which had not been reported previously in Mexico. Isolates were found to infect only a narrow range of the differential cultivars used and were restricted to cultivars of Middle American origin. A comparison of random amplified polymorphic DNA and amplified fragment length polymorphism (AFLP) analyses was carried out on a subset of the fungal isolates. Determination of genetic distances based on AFLP data and production of a dendrogram demonstrated two levels of association: i) isolates classified into two major groups according to the type of cultivar or system of cultivation from which they originated, and ii) isolates could be classified into smaller subgroups generally associated with the geographic location from which they were obtained. Bootstrap analysis and determination of confidence intervals showed these geographic groupings to be extremely robust.


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