| Literature DB >> 34910139 |
Malek Marian1,2, Giorgio Licciardello1,2, Bianca Vicelli1,2, Ilaria Pertot1,2, Michele Perazzolli1,2.
Abstract
Complex microbial communities are associated with plants and can improve their resilience under harsh environmental conditions. In particular, plants and their associated communities have developed complex adaptation strategies against cold stress. Although changes in plant-associated microbial community structure have been analysed in different cold regions, scarce information is available on possible common taxonomic and functional features of microbial communities across cold environments. In this review, we discuss recent advances in taxonomic and functional characterization of plant-associated microbial communities in three main cold regions, such as alpine, Arctic and Antarctica environments. Culture-independent and culture-dependent approaches are analysed, in order to highlight the main factors affecting the taxonomic structure of plant-associated communities in cold environments. Moreover, biotechnological applications of plant-associated microorganisms from cold environments are proposed for agriculture, industry and medicine, according to biological functions and cold adaptation strategies of bacteria and fungi. Although further functional studies may improve our knowledge, the existing literature suggest that plants growing in cold environments harbor complex, host-specific and cold-adapted microbial communities, which may play key functional roles in plant growth and survival under cold conditions.Entities:
Keywords: beneficial microbial communities; cold environments; cold stress; cold tolerance; plant microbiota
Mesh:
Year: 2022 PMID: 34910139 PMCID: PMC8769928 DOI: 10.1093/femsec/fiab161
Source DB: PubMed Journal: FEMS Microbiol Ecol ISSN: 0168-6496 Impact factor: 4.194
Figure 1.Geographical location (A) and taxonomy of plant-associated bacterial (B) and fungal (C) communities in alpine, Arctic and Antarctic regions. Plant-associated microbial communities were studied in European Alps (Garnica et al. 2013; Casazza et al. 2017; Kumar et al. 2017; Roy et al. 2018; Oberhofer et al. 2019; Praeg, Pauli and Illmer 2019; Wassermann et al. 2019), Hindu Kush, Karakorum and Himalaya–Tibetan Plateau (Bisht, Mishra and Joshi 2013; Li et al. 2014; Cui et al. 2015; Angel et al. 2016; Kotilínek et al. 2017; Chang et al. 2018; Jamil et al. 2020, 2018; Sheng et al. 2011; Pan et al. 2013; Řeháková et al. 2015; Lu et al. 2016; Wang et al. 2016; Ma et al. 2020), Andes (Calvo et al. 2010; Correa-Galeote et al. 2016; Jorquera et al. 2016; Ruiz-Pérez, Restrepo and Zambrano 2016; Pfeiffer et al. 2017; Castellano-Hinojosa et al. 2018; Chica et al. 2019; Chumpitaz-Segovia et al. 2020; Senés-Guerrero and Schüssler, 2016), Rocky Mountains, USA (Schmidt et al. 2008; Bueno de Mesquita et al. 2018), Lapland, Finland (Nissinen, Männistö and van Elsas 2012; Kauppinen et al. 2014; Kumar et al. 2017; Given et al. 2020), Svalbard, Norway (Botnen et al. 2014, 2020; Bjorbækmo et al. 2010; Öpik et al. 2013; Blaalid et al. 2014; Zhang and Yao 2015; Mundra, Bahram and Eidesen 2016; Kumar et al. 2017; Lorberau et al. 2017; Newsham et al. 2017), Northern Canada (Allen et al. 2006; Timling et al. 2012), Alaska, USA (Walker et al. 2011; Timling et al. 2012) and Antarctic Peninsula (Gonçalves et al. 2015; Cid et al. 2017; Martorell et al. 2017; Ferreira et al. 2019; Molina–Montenegro et al. 2019; Rosa et al. 2009, 2010; Teixeira et al. 2010; Santiago et al. 2012; da Silva et al. 2017; Santiago, Rosa and Rosa 2017; Wentzel et al. 2019; Silva et al. 2020; Zhang et al. 2020). Pie charts show averages of the relative abundances of the major bacterial and fungal phyla analysed by culturable-independent approaches from alpine (Jorquera et al. 2016; Lu et al. 2016; Kumar et al. 2017; Li et al. 2018; Roy et al. 2018; Praeg, Pauli and Illmer 2019; Wassermann et al. 2019; Jamil et al. 2020), Arctic (Walker et al. 2011; Nissinen, Männistö and van Elsas 2012; Blaalid et al. 2014; Zhang and Yao 2015; Mundra, Bahram and Eidesen 2016; Kumar et al. 2017; Lorberau et al. 2017; Given et al. 2020) and Antarctic (Jorquera et al. 2016; Molina–Montenegro et al. 2019; Teixeira et al. 2010; Silva et al. 2020; Zhang et al. 2020) regions. It should be noted that these studies used various primers, PCR conditions and sequencing platforms. No culturable-independent studies on plant-associated fungal communities in Antarctic regions are available till now.
Summary of culture-independent studies on the structural diversity of plant-associated microbial communities in cold regions.
| Cold region | Geographical location | Altitude (m) | Plants and tissues analysed | Microbial parameters and methodology | Main findings | Reference |
|---|---|---|---|---|---|---|
| Alpine | Central Alps of Tyrol (Austria) | 2600–3400 |
| Bacteria, archaea and fungi; Illumina MiSeq | Planctomycetales, Actinomycetales, Rhizobiales, Spartobacteria unclassified, Burkholderiales, Sphingobacteriales and Rhodospirillales were the most abundant bacterial orders, whereas Helotiales, Mortierellales, Pleosporales, Dothideomycetes order incertae sedis, Sporidiobolales, Hypocreales, Chaetothyriales and Lecanorales were the most abundant fungal orders. | Praeg, Pauli and Illmer ( |
| Northern Calcareous Alps, Hochschwab region (Austria) | NA |
| Bacteria, archaea and fungi; Illumina MiSeq | Bacteria and fungi were abundant while archaea were less abundant in the seeds. | Wassermann | |
| Baima Snow Mountain, Yunnan Province (China) | 4780 |
| Bacteria; Illumina HiSeq |
| Chang | |
| Mount Shukule II, Tibetan Plateau, Ladakh (India) | 6150 |
| Bacteria; Illumina MiSeq | Sphingomonadales (Proteobacteria phylum) and Sphingobacteriales (Bacteroidetes phylum) were the dominant orders | Angel | |
| North West Himalaya, Ladakh (India) | 4850–5850 |
| Bacteria; Single Strand Conformation Polymorphism and culture-dependent analysis | Actinobacteria dominated the cultivable communities and | Řeháková | |
| Andean highland (Ecuador) | 3700 |
| Bacteria; Illumina MiSeq |
| Chica | |
| Andes, Quechua region (Peru) | 3537 |
| Bacteria; 454 pyrosequencing | Gp6 and | Correa-Galeote | |
| Andes, Huancavelic, Sincos-Junin and Sicaya-Junin regions (Peru) | 3245–4070 |
| Bacteria; 454 pyrosequencing | Three rhizosphere microbiome components were proposed; opportunistic microbiome comprised of occasionally occurring or specifically enriched OTUs, stable core microbiome ( | Pfeiffer | |
| Andes, Natural National Park Los Nevados (Columbia) | NA |
| Bacteria and archaea; Illumina MiSeq |
| Ruiz-Pérez, Restrepo and Zambrano ( | |
| North West Himalaya, Ladakh (India) | 3400–6150 | 62 host species including | AMF and DSE; microscopy and Roche sequencing | The highest diversity and abundance of AMF communities along the elevational gradient in the dry Himalayas were found in the moderately stressful mesic steppes rather than in extreme environments | Kotilínek | |
| Andes (Bolivia, Ecuador and Peru) | 2658–4075 |
| AMF; 454 pyrosequencing |
| Senés-Guerrero and Schüssler ( | |
| Gangcha steppe, Qinghai Province (China) | 3265 |
| Fungi; cloning and Sanger sequencing | Chaetothyriales, Eurotiales, Acarosporales and Mortierellales were the dominant orders in the rhizosphere, whereas Agaricales, Sordariales, Helotiales, Mitosporic Ascomycota and Hypocreales were the dominant orders in the roots | Lu | |
| French Hautes‐Alpes (France) | 2100–3050 |
| Fungi; Illumina MiSeq |
| Roy | |
| Yunnan Province (China) | 3260 |
| Fungi; Illumina MiSeq |
| Jamil | |
| Gansu and Inner Mongolia provinces (China) | 533–3075 |
| Fungi; Illumina MiSeq |
| Li | |
| Bavarian Alps (Germany) | 1020–1830 | 70 host species including | Sebacinales communities; cloning and Sanger sequencing | Sebacinales appear to occur in low abundance but they are phylogenetically diverse and widespread in the ecosystems studied (montane and subalpine). Land use, pH and humus content influenced the diversity and assembly of Sebacinales communities | Garnica | |
| Mount Segrila, Tibetan Plateau, Tibet (China) | 3446–4556 |
| AMF; cloning and Sanger sequencing |
| Li | |
| Zhadang Glacier, Tibetan Plateau, Tibet (China) | 5500 |
| AMF and DSE; microscopy, cloning and Sanger sequencing | Both AMF and DSE fungi synchronously colonized the two plant species, but AMF dominated in | Pan | |
| Rocky Mountains, Colorado (USA) | 3636–3933 | 35 host species including | AMF and DSE; microscopy and Illumina MiSeq | AMF were more abundant in roots at lower elevation areas with lower snowpack and lower phosphorus and nitrogen content, whereas DSE colonization was highest in areas with less snowpack and higher inorganic nitrogen levels. | Bueno de Mesquita | |
| Rocky Mountains, Colorado (USA) and Andes (Peru) | 4298–5391 | 18–30 host species including | AMF and DSE; microscopy | AMF were absent in the two species of plants sampled (both | Schmidt | |
| South-western Alps (Italy and France) | 2039–2408 |
| AMF; microscopy, cloning and Sanger sequencing |
| Casazza | |
| Artic | Kilpisjärvi fell area (Finland) | 559–898 |
| Bacteria; cloning and Sanger sequencing |
| Nissinen, Männistö and van Elsas ( |
| Kilpisjärvi fell area (Finland) | 925 |
| Bacteria; Ion Torrent sequencing | Firmicutes was highly abundant in the leaf communities of bait and wild plants. Proteobacteria and Bacteroidetes were more abundant in the roots, albeit with different relative abundances in bait and wild plant groups. Tissue type and plant group had strong impact on the community structure | Given | |
| Svalbard archipelago (Norway) | NA |
| Fungi; 454 pyrosequencing | Basidiomycota and Ascomycota (particularly Thelephorales, Agaricales, Pezizales and Sebacinales orders) were the dominant taxa | Blaalid | |
| Svalbard archipelago (Norway) | NA |
| Fungi; Illumina Miseq | Sebacinales and Agaricales orders (Basidiomycota phylum), particularly | Lorberau | |
| Svalbard archipelago (Norway) | 10–67 |
| Fungi, 454 pyrosequencing | Helotiales, Pleosporales, Capnodiales and Tremellales orders (particularly | Zhang and Yao ( | |
| Svalbard archipelago (Norway) | 55 |
| Fungi; Illumina Miseq | Stress-tolerant genera such as | Mundra, Bahram and Eidesen ( | |
| Svalbard archipelago (Norway) | NA |
| Fungi, 454 pyrosequencing | No evidence of host specificity and no significant differences in fungal OTU richness were observed across the three plant species | Botnen | |
| Svalbard archipelago (Norway) | NA | 31 host species including | Fungi; Illumina Miseq and HiSeq | Helotiales, Pleosporales, Chaetothyriales and Sordariales were the dominant orders in most of the plants. Plant species and to a less extent environmental factors affected the community structure | Botnen | |
| Svalbard archipelago (Norway) | NA | 13 host species including | AMF; microscopy | No associations between the abundances of AMF structures in roots and edaphic factors (pH, soil moisture, carbon, nitrogen and phosphorus concentrations and total organic matter) | Newsham | |
| Kilpisjärvi fell area (Finland) | 600 |
| AMF and DSE; microscopy | AMF colonization was high at open coastal dunes, whereas DSE fungi were more common at forested sites, in the boreal zone. Humus thickness affected AMF fungi negatively and DSE fungi positively | Kauppinen | |
| Saskatoon and Axel Heiberg Island (Canada) | NA |
| AMF; microscopy | AMF colonization exceeded 80% for Arctic Asteraceae, similar to 66–90% for prairie | Allen | |
| Canadian Arctic Archipelago (Canada); Alaska (USA) and Greenland (Denmark) | NA |
| Ectomycorrhizal fungi; microscopy, cloning and Sanger sequencing |
| Timling | |
| Alaska (USA) | 726–752 |
| Fungi; cloning, Sanger sequencing and culture-dependent analysis | Helotiales was the dominant order. | Walker | |
| Antarctica | Devils Point, Livingstone Island (Antarctic peninsula) | NA |
| Bacteria; Illumina MiSeq | Proteobacteria, Actinobacteria, Bacteroidetes, Acidobacteria and Verrucomicrobia were the most abundant phyla | Molina-Montenegro |
| King George Island (Antarctic peninsula) | NA |
| Bacteria; Ion Torrent PGM and culture-dependent analysis | Actinomycetales (Actinobacteria phylum) was the dominant order. | Silva | |
| King George Island (Antarctic peninsula) | NA |
| Bacteria; 454 pyrosequencing and denaturing gradient gel electrophoresis | Firmicutes was the most abundant phylum in most samples, and there were high levels of anaerobic representatives | Teixeira | |
| Deception Island (Antarctic peninsula) | NA |
| Bacteria; Illumina MiSeq | Co-occurrences network analyses identified putative niche-specific keystone taxa. In particular, | Zhang | |
| Alpine and Arctic | Alps, Mayrhofen (Austria); Kilpisjärvi (Finland) and Ny-Ålesund (Norway) | 2400 |
| Bacteria; Ion Torrent sequencing | Relative abundances of Proteobacteria decreased progressively from the alpine to the Arctic, whereas those of Actinobacteria increased. Firmicutes, Proteobacteria and Bacteroidetes dominated the endosphere communities. Plant compartments impacted bacterial diversity and community structures more than geographic region or sampling site | Kumar |
| Tromsø, Finse and Svalbard archipelago (Norway) | 20–1480 |
| Fungi; cloning and Sanger sequencing |
| Bjorbækmo | |
| Alpine and Antarctica | Andes (Chile) | NA |
| Bacteria; 454 pyrosequencing and denaturing gradient gel electrophoresis | Alphaproteobacteria and | Jorquera |
| King George Island (Antarctic peninsula) |
|
Abbreviations: NA = not available; AMF = arbuscular mycorrhizal fungi and DSE = dark septate endophytes.
Figure 2.Main factors affecting the taxonomic structure of plant-associated microbial communities in cold environments. Factors affecting the taxonomic structure of plant-associated microbial communities are summarized according to the literature (Becklin, Hertweck and Jumpponen 2012; Blaalid et al. 2014; Botnen et al. 2019; Abrego et al. 2020; Arraiano-Castilho et al. 2020; Fujimura and Egger 2012; Garnica et al. 2013; Kauppinen et al. 2014; Ciccazzo et al. 2016; Kumar et al. 2016; Casazza et al. 2017; Koizumi and Nara 2017; Kotilínek et al. 2017; Bueno de Mesquita et al. 2018; Chang et al. 2018; Given et al. 2020, 2017; Li et al. 2014, 2018; Tscherko et al. 2005; Upson, Newsham and Read 2008; Nissinen, Männistö and van Elsas 2012; Timling et al. 2012; Welc et al. 2014; Massaccesi et al. 2015; Mundra et al. 2015; Řeháková et al. 2015; Mundra, Bahram and Eidesen 2016; Yang et al. 2016; Zhang et al. 2016; Lorberau et al. 2017; Santiago, Rosa and Rosa 2017; Mapelli et al. 2018; Roy et al. 2018; Wassermann et al. 2019, 2020; Zhang and Yao 2015).