scholarly journals A continental view of pine-associated ectomycorrhizal fungal spore banks: a quiescent functional guild with a strong biogeographic pattern

2015 ◽  
Vol 205 (4) ◽  
pp. 1619-1631 ◽  
Author(s):  
Sydney I. Glassman ◽  
Kabir G. Peay ◽  
Jennifer M. Talbot ◽  
Dylan P. Smith ◽  
Judy A. Chung ◽  
...  
Keyword(s):  
Fungal Spore ◽  
Biogeographic Pattern ◽  
Functional Guild

The family Orthotrichaceae (Bryophyta) in flora of Russia: results of revision and biogeographical review

2018 ◽  
Vol 52 (2) ◽  
pp. 519-534 ◽  
Author(s):  
V. E. Fedosov
Keyword(s):  
Hot Spots ◽  
Latitudinal Gradient ◽  
Hot Spot ◽  
Spatial Differentiation ◽  
Taxonomic Composition ◽  
Undescribed Species ◽  
Longitudinal Gradient ◽  
Biogeographic Pattern ◽  
The Family ◽  
North Pacific Region

Recent studies on Orthotrichoid mosses in Russia are summarized genus by genus. Orthotrichum furcatum Otnyukova is synonymized with Nyholmiella obtusifolia. Orthotrichum vittii is excluded from the Russian moss flora. Description of O. dagestanicum is amended. Fifty four currently recognized species from 9 genera of the Orthotrichaceae are presently known to occur in Russia; list of species with common synonyms and brief review of distribution in Russia is presented. Numerous problematic specimens with unresolved taxonomy were omitted for future. Revealed taxonomical inconsistencies in the genera Zygodon, Ulota, Lewinskya, Nyholmiella, Orthotrichum are briefly discussed. Main regularities of spatial differentiation of the family Orthotrichaceae in Russia are considered. Recently presented novelties contribute to the certain biogeographic pattern, indicating three different centers of diversity of the family, changing along longitudinal gradient. Unlike European one, continental Asian diversity of Orthotrichaceae is still poorly known, the Siberian specimens which were previously referred to European species in most cases were found to represent other, poorly known or undescribed species. North Pacific Region houses peculiar and poorly understood hot spot of diversity of Orthotrichoid mosses. Thus, these hot spots are obligatory to be sampled in course of revisions of particular groups, since they likely comprise under-recorded cryptic- or semi-cryptic species. Latitudinal gradient also contributes to the spatial differentiation of the revealed taxonomic composition of Orthotrichaceae.

scholarly journals Biogeography of Italy revisited: genetic lineages confirm major phylogeographic patterns and a pre-Pleistocene origin of its biota

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Thomas Schmitt ◽  
Uwe Fritz ◽  
Massimo Delfino ◽  
Werner Ulrich ◽  
Jan Christian Habel
Keyword(s):  
Meta Analysis ◽  
Balkan Peninsula ◽  
Po Plain ◽  
Genetic Lineages ◽  
Biogeographic Patterns ◽  
Italian Peninsula ◽  
Biogeographic Pattern ◽  
History Of ◽  
Multiple Species ◽  
Micro Plates

AbstractWarm-adapted species survived the cold stages of the past glacial-interglacial cycles in southern European peninsulas and recolonized major parts of Central and Northern Europe in the wake of postglacial warming. However, many of the genetic lineages which differentiated within these refugia predate even the Pleistocene. One of these refugia is the Italian Peninsula with its surrounding islands. In this meta-analysis, we compiled phylogeographic patterns of multiple species across this region. We transformed existing geographic information on 78 animal and plant species (with a total of 471 genetic lineages) within 17 predefined areas into presence/absence matrices. We elaborated three matrices: (i) only old lineages exclusively distinguished by deep splits, (ii) only young lineages distinguished by shallow (i.e. recent) splits, and (iii) presence/absence of the respective species. To infer biogeographic relationships between the predefined areas, we performed bootstrapped neighbour joining cluster analyses on these three matrices. In addition, we reviewed the geological history of Italy to identify causes of the observed biogeographic patterns. We found Sardinia and Corsica to be biogeographically closely linked with each other, and that they diverge strongly from all other regions. Sicily also diverges strongly from all other regions, while the intra-island differentiation was comparatively low. On the Italian mainland, Calabria exhibited the most pronounced biogeographic differentiation, often with several lineages present, resulting from old vicariance events within the region. Furthermore, southern Apulia and the Po Plain with adjoining areas of northern peninsular Italy displayed considerable distinctiveness. Admixture prevailed in the areas between these three regions. The ancient isolation of Sicily, as well as Sardinia plus Corsica, resulted in endemic lineages with only moderate recent exchange with adjacent mainland regions. Pronounced diversification occurs within the Italian Peninsula. The complex tectonic activities, such as shifting (micro)plates, submergence of major parts of peninsular Italy with the genesis of numerous Pliocene islands, in combination with the climatic cycles during the Pleistocene have most likely generated the current biogeographic pattern of species. Immigrations from the Balkan Peninsula into northern Italy partly accounted for the distinctiveness of this region.

scholarly journals Diversity, Concentration and Dynamics of Culturable Fungal Bioaerosols at Doha, Qatar

2020 ◽  
Vol 18 (1) ◽  
pp. 182
Author(s):  
Raghdaa K. Fayad ◽  
Roda F. Al-Thani ◽  
Fatima A. Al-Naemi ◽  
Mohammed H. Abu-Dieyeh
Keyword(s):  
Species Richness ◽  
Fungal Spores ◽  
Gravimetric Method ◽  
Fungal Spore ◽  
Industrial Area ◽  
Airborne Fungi ◽  
Culture Collection ◽  
Colony Count ◽  
Study Sites ◽  
Future Work

This research was conducted to investigate the dynamics of airborne fungi using viable culture collection and in respect to different abiotic variables, including seasonal and intra-diurnal variations. A gravimetric method was used to sample airborne fungal deposition on potato dextrose agar plates on alternate days, for a year between April 2015 to March 2016. From 176 settle plate exposures, a total of 1197 mould and 283 yeast colony-forming units (CFU), 21 genera and 62 species were retrieved. The highest fungal spore count was recorded in February 2016, whereas the lowest count occurred in August 2015. The main constituents of the fungal airspora were attributed to Cladosporium (60.2%), Aspergillus (10.4%), Fusarium (9.4%), Alternaria (8.5%), and Ganoderma spp. (2.3%). Temperature was negatively correlated with total colony count (r = −0.231, p ≤ 0.05) or species richness (r = −0.267, p ≤ 0.001), while wind speed was positively correlated with total colony count (r = 0.484, p ≤ 0.001) or species richness (r = 0.257, p ≤ −0.001). The highest dispersal of fungal spores was obtained at 18:00, whereas the lowest fungal spores release was recorded at 00:00 (midnight). There were no significant differences in species composition and richness of the airborne fungal population between two study sites, the Industrial area and Qatar University Campus. The count of Alternaria spp. and Fusarium spp. were significantly higher at the Industrial area site, which corresponds to a higher CO2 level than the Qatar University site. This study lays the foundation for future work to assess the implications of such aeromycological data on public health.

scholarly journals New virus isolates from Italian hydrothermal environments underscore the biogeographic pattern in archaeal virus communities

2020 ◽  
Vol 14 (7) ◽  
pp. 1821-1833 ◽  
Author(s):  
Diana P. Baquero ◽  
Patrizia Contursi ◽  
Monica Piochi ◽  
Simonetta Bartolucci ◽  
Ying Liu ◽  
...  
Keyword(s):  
Archaeal Virus ◽  
Biogeographic Pattern ◽  
Virus Communities ◽  
Hydrothermal Environments ◽  
Virus Isolates

Back-trajectory modelling and DNA-based species-specific detection methods allow tracking of fungal spore transport in air masses

2016 ◽  
Vol 571 ◽  
pp. 658-669 ◽  
Author(s):  
Agnieszka Grinn-Gofroń ◽  
Magdalena Sadyś ◽  
Joanna Kaczmarek ◽  
Aleksandra Bednarz ◽  
Sylwia Pawłowska ◽  
...  
Keyword(s):  
Fungal Spore ◽  
Detection Methods ◽  
Back Trajectory ◽  
Specific Detection ◽  
Air Masses ◽  
Species Specific ◽  
Trajectory Modelling
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