Drought-tolerant cyanobacteria and  mosses as biotechnological tools to  attain land degradation neutrality

Adessi, Alessandra; Philippis, Roberto De; Rossi, Federico

doi:10.5194/we-21-65-2021

Cited by 21 publications

(10 citation statements)

References 113 publications

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“…Naturally, biocrusts can also form and develop, but this process in natural settings can take decades to centuries and is often beyond the usual time frames of land management (Belnap and Eldridge, 2003; Chiquoine et al ., 2016). On the other side, cyanobacteria inhabiting biocrusts can be cultivated and harvested easily (Lan et al ., 2017; Wu et al ., 2018; Adessi et al ., 2021), and cyanobacterial inoculation has been extensively studied as an ecosystem engineer with great success to speed up biocrust restoration in drylands (Hu et al ., 2012; Rossi et al ., 2017; Chamizo et al ., 2020). Here, at a large scale in the field (2 km 2 ), we further demonstrate cyanobacterial inoculation can efficiently promote biocrust development over a 15‐year period.…”

Section: Discussionmentioning

confidence: 99%

“…During the process of terrestrial life evolution, cyanobacteria and relevant biocrusts represent the main ecological types of terrestrial habitats before the advent of vascular vegetations (Beraldi‐Campesi et al ., 2014; Couradeau et al ., 2016). In addition, cyanobacteria, especially filamentous cyanobacteria, play a vital role in biocrust formation, structural maintenance and development of soil micro‐ecosystems (Wu et al ., 2014; Lan et al ., 2014a; Adessi et al ., 2021). During the formation of biocrusts, cyanobacterial filaments bind the soil particles to stabilize the soil surface; on the other hand, the particles are further cemented by the secreted extracellular polysaccharides (EPS), thus forming a stable crust structure (Hu et al ., 2012; Rossi et al ., 2017; Chamizo et al ., 2019).…”

Section: Introductionmentioning

confidence: 99%

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Cyanobacterial persistence and influence on microbial community dynamics over 15 years in induced biocrusts

Lan

Adessi

et al. 2021

Environmental Microbiology

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Biocrusts provide numerous ecological functions in drylands. Recovering biocrusts via cyanobacterial inoculation recently gathered interest for ecological restoration, yet it still lacks long-term experiments to unravel biocrust community dynamics. To examine how cyanobacterial inoculants influenced local microbial community and biocrust development, we observed a 2 km 2 (Qubqi Desert, China) inoculation experiment after 10 and 15 years, following biocrust formation. Our results revealed that biocrust development was in line with ecological regime shift, providing evidence for biocrust community succession, from cyanobacteria-to moss-dominated types. Associated with biocrust development, microbial communities differed significantly with less specialists compared to shifting sands. Cyanobacterial community analysis showed that Microcoleus vaginatus and Scytonema javanicum are an ideal inoculating model, as they were still dominating the community after 15 years since inoculation, while other nitrogen-fixing cyanobacteria occurred profusely with biocrust development. Biocrust community composition combined with thickness, Chl-a and exopolysaccharide measurements revealed the large variation of cyanobacterial ecological functions along biocrust development, suggesting a main function shift: from carbon fixation associated with exopolysaccharide secretion in bare sandy soils to nitrogen fixation in developed biocrusts. This large-scale field study verifies that cyanobacterial inoculation accelerates biocrust development and forwards succession, shaping the biocrust community composition over a long time.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cyanobacterial persistence and influence on microbial community dynamics over 15 years in induced biocrusts

Lan

Adessi

et al. 2021

Environmental Microbiology

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“…The selected moss species collected from the wild may not be homogeneous and may contain other unknown organisms that could be harmful to humans, because moss layers are important habitats for periphyton and invertebrates ( Wulf and Pearson, 2017 ). Furthermore, a vast amount of disruption of the wild moss layer may lead to land degradation ( Adessi et al., 2021 ). Thus, artificial planting is the most sustainable way to obtain moss materials.…”

Section: Introductionmentioning

confidence: 99%

Axenic in vitro cultivation and genome diploidization of the moss Vesicularia montagnei for horticulture utilization

Chen

et al. 2023

Front. Plant Sci.

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Mosses are widely used in the establishment of greenery. However, little research has been conducted to choose a suitable species or improve their performance for this application. In our study, we examined Vesicularia montagnei (V. montagnei), a robust moss that is widely distributed in temperate, subtropical, and tropical Asia with varying environmental conditions. Axenic cultivation system of V. montagnei was developed on modified BCD medium, which enabled its propagation and multiplication in vitro. In this axenic cultivation environment, several diploid V. montagnei lines with enhancement of rhizoid system were generated through artificial induction of diploidization. Transcriptomic analysis revealed that several genes responsible for jasmonic acid (JA) biosynthesis and signaling showed significant higher expression levels in the diploid lines compared to the wild type. These results are consistent with the increasement of JA content in the diploid lines. Our establishment of the axenic cultivation method may provide useful information for further study of other Vesicularia species. The diploid V. montagnei lines with improved rhizoid system may hold promising potential for greenery applications. Additionally, our study sheds light on the biosynthesis and functions of JA in the early landed plants.

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“…Land degradation (LD) is known as one of the most significant environmental and socio‐economic challenges worldwide (Mitri et al, 2019; Adessi et al, 2021). It is becoming increasingly difficult to ignore LD since it is a major threat to ecosystem services (Montfort et al, 2021), global food security, economic development, and the welfare of people around the world (Lal et al, 2012; Crossland et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

A new conceptual framework for spatial predictive modelling of land degradation in a semiarid area

et al. 2022

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Although land degradation (LD) is known as a severe environmental problem, spatial predictive modelling of this phenomenon remains a challenge. This research aimed to develop a new conceptual framework to predict LD susceptibility based on net primary production (NPP) and machine learning approaches. The annual NPP over the period 2001–2020 were obtained using MOD17A3 and the trend of NPP changes was considered to investigate the occurrence sites of LD within Qazvin Plain, in Qazvin Province, Iran, under a semiarid climate, with an area of about 9500 km2. An inventory map of LD was generated based on the LD study sites. The locations were randomly split‐sampled as training (70%) and testing (30%) datasets to evaluate the efficiency of the built models. Fifteen geo‐environmental factors were considered as LD predictive variables such as altitude, slope, land use, and temperature. Four advanced machine‐learning techniques were performed to model LD susceptibility. Finally, the predictive efficiency of the models was measured utilizing the area under the (ROC) curve Area Under the ROC Curve(AUC) and true skill as statics (TSS). The results indicated that the randomForest (RF), with the AUC = 0.81 and TSS = 0.5, showed the highest efficiency for predicting LD in the Qazvin Plain followed by boosted regression tree (BRT) with AUC = 0.76 and TSS = 0.47, support vector machine (SVM) with AUC = 0.71 and TSS = 0.39, and classification and regression tree (CART) with AUC = 0.63 and TSS = 0.31. The findings illustrated that altitude was the most influential variable within RF, BRT, and SVM while rainfall showed the most important contribution in modelling based on the CART algorithm. This study proposed a new modelling framework that is easily replicable in different contexts for the assessment of LD modelling and analysis.

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Drought-tolerant cyanobacteria and mosses as biotechnological tools to attain land degradation neutrality

Cited by 21 publications

References 113 publications

Cyanobacterial persistence and influence on microbial community dynamics over 15 years in induced biocrusts

Cyanobacterial persistence and influence on microbial community dynamics over 15 years in induced biocrusts

Axenic in vitro cultivation and genome diploidization of the moss Vesicularia montagnei for horticulture utilization

A new conceptual framework for spatial predictive modelling of land degradation in a semiarid area

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