| Literature DB >> 31182974 |
P Galbraith1, R Henry1, D T McCarthy1.
Abstract
BACKGROUND: Biofilters are soil-plant based passive stormwater treatment systems which demonstrate promising, although inconsistent, removal of faecal microorganisms. Antimicrobial-producing plants represent a safe, inexpensive yet under-researched biofilter design component that may enhance treatment reliability. The mechanisms underlying plant-mediated microbial removal in biofilters have not been fully elucidated, particularly with respect to antimicrobial production. The aim of this study was therefore to inform biofilter vegetation selection guidelines for optimal pathogen treatment by conducting antimicrobial screening of biofilter-suitable plant species. This involved: (1) selecting native plants suitable for biofilters (17 species) in a Victorian context (southeast Australia); and (2) conducting antimicrobial susceptibility testing of selected plant methanolic extracts (≥ 5 biological replicates/species; 86 total) against reference stormwater faecal bacteria (Salmonella enterica subsp. enterica ser. Typhimurium, Enterococcus faecalis and Escherichia coli).Entities:
Keywords: Antimicrobial; Biofilter; Fecal microorganisms; Pathogens; Urban stormwater; Vegetation; WSUD
Year: 2019 PMID: 31182974 PMCID: PMC6555726 DOI: 10.1186/s13036-019-0175-2
Source DB: PubMed Journal: J Biol Eng ISSN: 1754-1611 Impact factor: 4.355
Weighted criteria for selecting test plant species based on suitability in field-scale biofilters and known antimicrobial production
| Selection criteria | Description | Reference | Weighting of importance |
|---|---|---|---|
| Primary considerations for species selection | |||
| Availability in nurseries | Available from ≥1 of 9 major native nurseries in Melbourne. | [ | ✓✓✓✓✓ |
| Accessible to stakeholders for purchase | |||
| Adaptation to biofilter conditions | Species were scored (1–3) based on their ability to maintain healthy growth under south-eastern Australian biofilter conditions (i.e. survival in sandy soil with temporary inundation and extended hot, dry periods). Plants with scores of ≥2 were considered for selection. | [ | ✓✓✓✓✓ |
| Plants must be adapted to harsh conditions in biofilters for effective performance | |||
| Antimicrobial activity of plants | Species were assigned an antimicrobial score based on the number of positive Google Scholar search results associating plant genus with antimicrobial-associated terms*. Species with an antimicrobial score of > 30 and < 1 were considered for selection. | [ | ✓✓✓✓✓ |
| Parameter essential to answer key objectives of study | |||
| Extensive root system | Species were scored (1, 2 or 3) based on root structure characteristics, with 3 representing “very good” (deep, dense, extensive, fine roots), 2 representing “average” and 3 representing “poor” roots (shallow, thick, minimal root systems). Candidates with scores ≥2 were considered for selection. | [ | ✓✓✓✓✓ |
| Extensive root systems correspond with high pollutant and faecal microorganism removal | |||
| Invasive species | Species deemed to have a high risk of becoming invasive, even if native to Australia, were excluded from selection. | [ | ✓✓✓✓✓ |
| Necessary to avoid ecological damage to surrounding ecosystems in field applications | |||
| Plant size | Species typically growing ≤10 m in height and ≥ 1 m in canopy diameter (sedges excepted) were considered for selection. Tall trees are generally impractical or unpopular in streetscape biofilters, while slender shrubs/trees with sparse above-ground biomass have diminished treatment capacity [ | [ | ✓✓✓✓✓ |
| Size constraints necessary for successful field application | |||
| Secondary considerations for species selection | |||
| Woody plants (shrubs and trees) | Woody species were preferentially selected. Compared with herbaceous species, woody species tend to live longer, root more extensively, grow taller and produce more biomass and leaf litter for improved treatment capacity [ | [ | ✓✓✓ |
| Woody plants have associations with multiple criteria that improve suitability and performance in biofilters | |||
| Indigenous to Melbourne | Species indigenous to Melbourne were preferentially selected over other Australian natives. Indigenous species are likely to have superior survival rates and provide greater ecological benefits over non-native species. Indigenous plants are also less likely to become invasive or cause environmental harm. | [ | ✓✓✓ |
| Plants indigenous to Melbourne are preferred, although other Australian natives are suitable depending on biofilter location and treatment context | |||
| High past success in biofilters | Species with high past performance in biofilters were preferentially selected. | [ | ✓✓✓ |
| Multiple pollutant removal for enhanced field application performance | |||
| High growth rate | Species with high growth rates were preferentially selected due to associations with improved nutrient removal. | [ | ✓✓ |
| Multiple pollutant removal for enhanced field application performance | |||
| Nitrogen fixation | Species lacking nitrogen-fixing root systems were preferentially selected to avoid compromised nitrogen removal. | [ | ✓✓ |
| Multiple pollutant removal for enhanced field application performance | |||
| Lifespan | Plants with lifespans > 20 years were preferentially selected over shorter-lived species requiring frequent replacement. | [ | ✓✓ |
| Reduced maintenance costs and disturbance to biofilter function | |||
The weighted/relative importance of each plant selection criterion (right-most column) was denoted by a number of ticks (✓), with five ticks indicating “very high importance”, four ticks “high importance”, three ticks “moderate importance” and two ticks “relatively low importance”
*Details on antimicrobial score assignment are outlined in Table S.1 description. Secondary metabolite publications were incorporated in the overall antimicrobial score for each plant species, owing to secondary metabolite production providing an indication of antimicrobial activity in plants where antimicrobial testing has not yet been conducted [75]. A Spearman correlation rank of 0.86 (p < 0.0001) indicates there is a strong correlation between “Antimicrobial” and “Secondary metabolite” Google Scholar publication count for each filtered species (as determined by GraphPad Prism version 7, GraphPad Software, USA)
Fig. 1Median MICs of plant extracts against reference organisms. Blue, orange and grey bars represent the median MIC (mg/mL) for all replicates of tested plant species against Salmonella ser. Typhimurium, E. faecalis and E. coli, respectively. Error bars denote the range of MICs among replicates (n = 5 per plant species for each test organism, except for G. ovata where n = 6). Black arrows represent a range where ≥1 test replicate(s) of that species displayed MICs exceeding the upper testing limit (> 64 mg/mL), i.e. G. pulchella and P. myoporoides against E. faecalis