↓ Skip to main content

Molecular approach to characterize ectomycorrhizae fungi from Mediterranean pine stands in Portugal.

Overview of attention for article published in Brazilian Journal of Microbiology, October 2013
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
26 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Molecular approach to characterize ectomycorrhizae fungi from Mediterranean pine stands in Portugal.
Published in
Brazilian Journal of Microbiology, October 2013
DOI 10.1590/s1517-83822013005000035
Pubmed ID
Authors

Ragonezi C, Caldeira AT, Martins MR, Salvador C, Santos-Silva C, Ganhão E, Klimaszewska K, Zavattieri A

Abstract

Stone pine (Pinus pinea L.), like other conifers, forms ectomycorrhizas (ECM), which have beneficial impact on plant growth in natural environments and forest ecosystems. An in vitro co-culture of stone pine microshoots with pure mycelia of isolated ECM sporocarps was used to overcome the root growth cessation not only in vitro but also to improve root development during acclimation phase. Pisolithus arhizus (Scop.) Rauschert and Lactarius deliciosus (L. ex Fr.) S.F. Gray fungi, were collected, pure cultured and used in in vitro co-culture with stone pine microshoots. Samples of P. arhizus and L. deliciosus for the in vitro co-cultures were collected from the pine stands southwest Portugal. The in situ characterization was based on their morphotypes. To confirm the identity of the collected material, ITS amplification was applied using the pure cultures derived from the sporocarps. Additionally, a molecular profile using PCR based genomic fingerprinting comparison was executed with other genera of Basidiomycetes and Ascomycetes. Our results showed the effectiveness of the techniques used to amplify DNA polymorphic sequences, which enhances the characterization of the genetic profile of ECM fungi and also provides an option to verify the fungus identity at any stage of plant mycorrhization.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 31%
Student > Bachelor 4 15%
Researcher 4 15%
Student > Ph. D. Student 2 8%
Student > Doctoral Student 1 4%
Other 2 8%
Unknown 5 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 42%
Biochemistry, Genetics and Molecular Biology 4 15%
Earth and Planetary Sciences 1 4%
Social Sciences 1 4%
Chemistry 1 4%
Other 2 8%
Unknown 6 23%