scholarly journals Comparative Genomics and Physiological Investigation of a New Arthrospira/Limnospira Strain O9.13F Isolated from an Alkaline, Winter Freezing, Siberian Lake

Cells ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 3411
Author(s):  
Agnieszka E. Misztak ◽  
Malgorzata Waleron ◽  
Magda Furmaniak ◽  
Michal M. Waleron ◽  
Olga Bazhenova ◽  
...  

Cyanobacteria from the genus Arthrospira/Limnospira are considered haloalkalotolerant organisms with optimal growth temperatures around 35 °C. They are most abundant in soda lakes in tropical and subtropical regions. Here, we report the comprehensive genome-based characterisation and physiological investigation of the new strain O9.13F that was isolated in a temperate climate zone from the winter freezing Solenoye Lake in Western Siberia. Based on genomic analyses, the Siberian strain belongs to the Arthrospira/Limnospira genus. The described strain O9.13F showed the highest relative growth index upon cultivation at 20 °C, lower than the temperature 35 °C reported as optimal for the Arthrospira/Limnospira strains. We assessed the composition of fatty acids, proteins and photosynthetic pigments in the biomass of strain O9.13F grown at different temperatures, showing its potential suitability for cultivation in a temperate climate zone. We observed a decrease of gamma-linolenic acid favouring palmitic acid in the case of strain O9.13F compared to tropical strains. Comparative genomics showed no unique genes had been found for the Siberian strain related to its tolerance to low temperatures. In addition, this strain does not possess a different set of genes associated with the salinity stress response from those typically found in tropical strains. We confirmed the absence of plasmids and functional prophage sequences. The genome consists of a 4.94 Mbp with a GC% of 44.47% and 5355 encoded proteins. The Arthrospira/Limnospira strain O9.13F presented in this work is the first representative of a new clade III based on the 16S rRNA gene, for which a genomic sequence is available in public databases (PKGD00000000).

Aerobiologia ◽  
2018 ◽  
Vol 35 (1) ◽  
pp. 57-71 ◽  
Author(s):  
I. Kasprzyk ◽  
T. Wójcik ◽  
P. Cariñanos ◽  
K. Borycka ◽  
A. Ćwik

Solar Energy ◽  
2015 ◽  
Vol 120 ◽  
pp. 147-157 ◽  
Author(s):  
Julius Tanesab ◽  
David Parlevliet ◽  
Jonathan Whale ◽  
Tania Urmee ◽  
Trevor Pryor

2014 ◽  
Vol 54 (4) ◽  
pp. 318-326 ◽  
Author(s):  
Jerzy Lisek

Abstract This manuscript contains information on the species composition of weed communities in orchards in Poland and other countries of the temperate climate zone. The manuscript deals with the influence of weeds on crops and the interaction between the weeds and other living organisms. The main methods of weed regulation are described. Characteristics of the particular crops – fruit trees and small fruits – and solutions that are either objects of study or have already been introduced into practice, are presented. Advantages and disadvantages of different methods of weed control are discussed, such as soil cultivation and tillage, cover crops, mulches, herbicide use, and flame burning.


2021 ◽  
Author(s):  
◽  
B. T. Faria

The Food and Agriculture Organization of the United Nations (FAO) estimates that population growth will reach 11.2 billion by the year 2100, which will contribute to food and agricultural product demand, making irrigation optimization essential. In this context is highlighted the evapotranspiration parameter determined by the FAOPM method. However, a precise measurement of this parameter requires several climatic parameters that can not be available in rural areas, in which, a promise solution belongs in approaches that use just a few climatic parameters which can be obtained by satellites and weather stations combined with machine learning models. In this research, the MLP (Multilayer perceptron) e SVM (Support Vector Machines) models were used to model the reference evapotranspiration with satellite and weather stations data under two approaches: the local approach where the models are trained and tested on the training location, and the regional approach where the models trained on the training location were applied on a test location. These approaches were applied in two experiments: the first on a temperate climate zone, and the second on a tropical climate zone. The results indicate that the MLP model stood out when compared with the SVM model in all tests realized, in which, the models trained with the climatic parameters of temperature and radiation obtained the metrics of R2 of 0.6568, RMSE of 0.1103, and MAE de 0.0882 for the temperate climatic zone experiment and metrics R2 of 0.7391, RMSE 0.1266, and MAE of 0.1063 for the tropical climate zone experiment on the first approach which demonstrate the potential of using only these parameters to model de evapotranspiration. For the second approach the MLP model could be applied on the tropical climate zone in which the metrics R2 of 0.7158, RMSE of 0.1592, and MAE of 0.1428 were obtained. Yet the result obtained by the models applied on the temperate climate zone was inconclusive which indicates that for the conditions of this location the models can’t be applied with the second approach


2020 ◽  
Vol 151 ◽  
pp. 887-895 ◽  
Author(s):  
Vita Tilvikiene ◽  
Zydre Kadziuliene ◽  
Inga Liaudanskiene ◽  
Egidijus Zvicevicius ◽  
Zivile Cerniauskiene ◽  
...  

Buildings ◽  
2016 ◽  
Vol 6 (3) ◽  
pp. 27 ◽  
Author(s):  
Andrés Gallardo ◽  
Massimo Palme ◽  
Andrea Lobato-Cordero ◽  
R. Beltrán ◽  
Gabriel Gaona

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 351
Author(s):  
Ivo Machar

Floodplain forests are considered as key forest ecosystems in lowland regions of the temperate climate zone [...]


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