Skip to main content
Microbial Biotechnology logoLink to Microbial Biotechnology
. 2020 Oct 23;14(1):241–250. doi: 10.1111/1751-7915.13679

Detection of a pederin‐like compound using a dilution‐to‐extinction‐based platform for the isolation of marine bacteria in drug discovery strategies

Xulio Benítez 1, Elena G Gonzalez 1,, Jesus García 1, Paz Zúñiga 1, Fernando de la Calle 1, Carmen Cuevas 1
PMCID: PMC7888454  PMID: 33094913

A new strategy of high‐throughput cultivation of bacteria inspired by a Dilution‐to‐Extinction methodology for the isolation and screening of new cytotoxic compound‐producing marine bacteria. A marine sponge tissue was directly used as inoculum and the results were compared with the data obtained through the direct plating isolation method. Results validate the combination of DTE with a 384‐plate format and antiproliferative tests for the exploration of cultures for mew marine strains and pave the way for future potential applications.

graphic file with name MBT2-14-241-g005.jpg

Summary

The continued development of culturing technologies for the discovery of new molecules from marine microbes is of paramount importance for drug discovery. Coupled with this, the use of the high‐throughput approach shows promise for increasing the number of Gram‐negative and non‐filamentous bacteria cultures that can be surveyed, since they show a lower potential of bioactivity. In this work, we propose a new strategy of high‐throughput cultivation of bacteria inspired by a dilution‐to‐extinction (DTE) methodology for the isolation of, and screening for, new cytotoxic compound producing marine bacteria. A marine sponge tissue was directly used as inoculum and the results were compared with the data obtained through the direct plating isolation method. Enterobacterial repetitive intergenic consensus polymerase chain reaction (ERIC‐PCR) genomic fingerprinting indicated the isolation of four bioactive strains, three of them producers of a pederin‐like compound, and the fourth one able to synthesize a different compound, still unidentified, rendered by the DTE approach, in comparison with one bioactive strain identified through the plating method. Analyses based on the 16S rRNA gene data showed the existence of two different species belonging to the genus Labrenzia. The efficiency and diversity ratio in the number of isolates and compounds are discussed. In view of the results, the proposed DTE approach proved to be efficient for the isolation of new cytotoxic compounds of marine origin and pave the way for future potential applications.

Introduction

Since ‘The Great Plate Count Anomaly’ was put forth by Staley and Konopka (Staley and Konopka, 1985), a vast effort has been made to minimize the disparity between the immense bacterial diversity and abundance detected in samples by microscopy or metagenomics and the low number of isolates cultured. A large part of the environmental microbiome has been considered non‐cultivable using standard cultivation techniques or common condition media. However, there is a potentially number of species that can be cultured under other specific conditions (Keller and Zengler, 2004; Stewart, 2012; Overmann et al., 2017). These microorganisms could constitute an outstanding untapped source of pharmaceutically relevant organisms (Romano et al., 2017). With respect to the marine environment, this is even more evident, containing a large diversity of unusual natural products still unexplored (Alves et al., 2018; Nigam et al., 2019; Jimenez et al., 2020). Hence, the continued development of culturing technologies for the discovery of new molecules from marine microbes is of paramount importance for drug discovery (Klein Jan et al., 2017; Carroll et al., 2019).

There are relevant examples that claim an important role of non‐filamentous marine bacteria as synthesizers of potent cytotoxic compounds (Piel, 2009). In addition, despite the importance of the genus Streptomyces and other actinomycetes among marine bacteria with the ability to synthesize secondary metabolites (Dias et al., 2012; Zhang et al., 2017), genomic mining studies have shown an unexpected potential for providing insights into bioactive compound synthesis in Gram‐negative bacteria (Machado et al., 2015). A recent example has been found in our own research group, with the isolation of an alphaproteobacteria with the ability to synthesize a powerful bioactive compound previously considered to be of a macro‐organismal origin. The discovery of this Labrenzia alexandrii PHM005 as the producer of the new pederin‐like compound, labrenzin (Schleissner et al., 2017), supports the broadly accepted idea of a microbial origin of most natural products isolated from marine macro‐organisms (Piel, 2009).

Moreover, it had been thought that the producers of most natural products isolated from marine macro‐organisms are often microbiologic uncultivable symbionts, and findings like this run contrary to that idea. These discoveries have encouraged us to include non‐filamentous bacteria in the core of our high‐throughput screening programmes and to explore the different options for their isolation.

From easy‐to‐use methods like solid media plating, to sophisticated and complex ones such as the microencapsulation technique (Zengler et al., 2002), many achievements were reached (Stewart, 2012). Isolation by plating samples on solid media is the most widely used method (Joint et al., 2010). The minimal amount of equipment needed and the unlimited number of different culture media maintain solid media plating as the preferred isolation strategy for a wide range of bacteria. However, inhibition and competition phenomena, scalability, morphology‐guided selection or automation are just some limitations to overcome. Notwithstanding this, several different approaches have been applied successfully. Isolation techniques like I‐tip (Jung et al., 2014) and I‐chip (Nichols et al., 2010) are alternative options for mimicking the natural environment, including the marine habitat. Both methods allow the diffusion of natural signalling compounds, favouring the growth of microorganisms on their own environment. Single‐cell isolation methods such as microencapsulation (Ben‐Dov et al., 2009) or the use of the Microdish® system (Ingham et al., 2007) have taken a step forward in mimicking in the laboratory the marine environmental conditions of the samples, growing pure cultures by individualizing single cells from their neighbours but keeping them connected to the outside environment and allowing diffusion in both directions of small signalling molecules. Nonetheless, scalability and high throughput are limiting factors for all the above‐mentioned techniques. Another single‐cell isolation technique is the dilution‐to‐extinction method (DTE) (Schut et al., 1993; Rappé et al., 2002), which has the feasibility of being easily scalable and automatable, allowing for very high‐throughput isolation (Stewart, 2012). This approach has proven to be very useful for the isolation of bacteria featuring special metabolic characteristics (Hoefman et al., 2012; Castro et al., 2017), such as methane‐oxidizing bacteria (Hoefman et al., 2012). More extensively, DTE has been successfully applied for the isolation of new marine oligotrophic bacteria throughout the last 30 years (Schut et al., 1993; Connon and Givannoni, 2002; Mohamed, 2013; Castro et al., 2017). These types of bacteria have several characteristics that make them less valuable for drug discovery programmes with respect to copiotrophical bacteria groups. Features such as small genome sizes or low growth rates are directly related to a reduced ability to produce secondary metabolites (Overmann et al., 2017). Thus, the DTE approach has been mainly focused on taxonomic studies, rather than producers of new and interesting secondary metabolites. In seeking innovative approaches for the discovery of new Gram‐negative bioactive producers, we realized that the lack of cytotoxic activity of most of its representatives, which keeps them outside the focus of high‐throughput screening programmes, could be an advantage for the implementation of an isolation and screening protocol based on DTE methodology. One of the main problems related to the use of Actinomycetes in drug discovery programmes is the high number of bioactive samples and the continuous rediscovery of existing compounds (Weber and Kim, 2016). The reduced number of bioactive samples obtained from non‐actinobacteria cultures (less than 2%, based on our experience), compared with those from Streptomyces (more than 30%, based on our experience), gave us the chance to set up a high‐throughput isolation platform combining DTE and antiproliferative assays. This allowed us to discard redundant and non‐cytotoxic activity samples in the first steps of the process.

Keeping this in mind, we intended to apply a DTE technique coupled with a high‐throughput platform (based on the use of 384 format well plates) as a complementary method to the classic solid media isolation, with the aim to discovering new marine bacteria with the ability to synthesize unrevealed cytotoxic compounds. Seeking innovative approaches for the discovery of new Gram‐negative producers, the classical workflow, sample, isolation, cultivation and screening, is modified by jumping directly from sample to cultivation, skipping the expensive, time‐consuming and repetitive isolation step (Fig. 1). The number of pure colony‐forming units (CFU) was statistically calculated by serially diluting the sample, and the obtained isolates were fermented for induction of secondary metabolite production. The crude extracts were tested in a bioassay against four cancer cell lines. Only samples with cytotoxic activity proceed to DNA–fingerprint and/or chemical de‐replication by HPLC‐MS, excluding a high number of strains with no interest for the isolation, re‐isolation and molecular and chemical de‐replication steps. Moreover, isolation cultures were carried out in 384‐well microtitre plates, a very appropriate format for automation. In addition, the fermentation volume used was small enough to allow the single cells to reach visible optical density in a short period of time (Fig. 1).

Fig. 1.

Fig. 1

Flowchart of DTE methodology steps (blue letters), from the cryopreserved sample (A) to the new molecule structure elucidation (K). Red letters (A–J) were added in order to compare solid media with DTE isolation methods. While DTE goes directly from isolation culturing (E, in blue) to induction culturing (F, in blue), solid media isolation goes usually through molecular de‐replication and 16S rRNA gene sequence analysis steps (D and E, in red) to induction culturing step (F, in red).

Results

Dilution calculation

The sample, a marine sponge, was homogenized, filtered and the mixture was serially diluted. A volume of the resulting aliquots was inoculated on solid media and incubated for 10 days at 28°C. Four replicates of each dilution were done and the grown colonies were counted daily in order to determine the cultivation parameters and statistical calculations. The average CFUs µl−1 for the homogenized and filtered sample was established in 47.58, and thus, the calculated number of expected grown wells in each microtitre plate (384‐well) for a percentage of mixed cultures of 5% was 85.86. Strong inhibition phenomena and variance between replicates were observed on inoculated solid media with high sample volumes. The range tested for optimal growth rates concluded that densities below 50 CFUs per plate improved reproducibility and proportionality between replicates and inoculated volumes. In this sample, that density was obtained with the plates inoculated with 1, 0.5 and 0.1 µl of homogenized sample (Fig. 2). Nevertheless, when the sample was inoculated on liquid media and fermented in 384 well microtitre plates, the number of grown wells was twofold more than expected. Thus, a correction factor was applied to offset the growth rate in the transition from solid to liquid media.

Fig. 2.

Fig. 2

Box plot representation of the number of pure colony‐forming units (CFU) grown per plate using a volume of 10, 5, 1, 0.5 and 0.1 µl of the homogenized sample. Box shows median and interquartile range. Based on this information, the data for the 1, 0.5 and 0.1 µl inoculated volume were used for the dilution‐to‐extinction calculations.

Isolation and screening of cultures on 384‐well microtiter plates based on the cytotoxic activity

Fifty microtiter plates were inoculated with the calculated dilution. Four days after, 2242 wells with potential bacterial growth were detected by optical density measurement. To avoid overgrowth and death of the fastest growing cultures, the growth wells were selected, inoculated onto 96‐well plates and incubated again with fresh Marine Broth (Difco® 2216) for 96 h. The 81.5% of the cultures grew in this step (based on the optical density measurement). They were inoculated in the culture media (2MPD1 F), and after 5 days, each culture was lyophilized, extracted and tested against four human cancer cell lines. The cytotoxic assay gave a total yield of 28 samples with cytotoxic activity (Table S1).

Molecular analyses of the positive cultures

The 28 active cultures were inoculated on solid media, obtaining 25 pure cultures, 3 showed mixed cultures and were discarded. The REP‐PCR fingerprint grouped the samples into 3 different clusters with 20, 4 and 1 representatives respectively (Fig. 3). Several strains from each cluster were later identified by PCR amplification, sequencing and phylogenetic analyses of a variable region of the 16S rRNA. The comparison of the sequences against the SILVA LTPs 132 database (http://www.arb‐silva.de/projects/living‐tree/) identified all the strains as the genus Labrenzia, with a high similarity value (> 99%). According to this result, both NJ and ML trees obtained from the phylogenetic analyses resulted in the same topology and yielded a well‐supported monophyletic Labrenzia alexandrii clade (Fig. 4). Most genera are highly supported, being monophyletic. Strain ANN‐17‐096L‐003 was more closely related to the L. aggregata (AAUW01000023) sequence than the L. alexandrii clade that included the positive strains obtained with the DTE method (Fig. 4), and was classified as such.

Fig. 3.

Fig. 3

Genetic fingerprint results of the 25 active pure cultures isolated with DTE. The strains were divided into 3 different groups showing similar isolates among them: I (green bar), II (blue bar) and III (red bar). Strains from groups I and II were identified as the species Labrenzia alexandrii and the only one from group III was identified as a L. aggregata, based on their 16S rRNA gene sequence analyses. The scale bar indicates percentage of similarity.

Fig. 4.

Fig. 4

Neighbour‐joining (NJ) and maximum‐likelihood (ML) tree of 16S rRNA gene sequences reconstructed using TIM distances. In bold, the samples sequenced for this work are included. The SILVA Accession numbers are indicated in brackets. Bootstrap values are from ML (above node) and NJ (below node) analyses. The tree is rooted with Mesorhizobium loti. SILVA accession numbers accompany each taxon name. The scale bar indicates evolutionary distances.

Chemical de‐replication

The chemical de‐replication of the crude extract of one representative of each group determined the presence of the labrenzins (pederin analogues) PM160134 and PM160153 in 2 strains (Fig. S1).The third strain (named ANN‐17‐096L‐003, identified as L. aggregata) is in the process of elucidation.

Discussion

The main aim of this study was to adapt the DTE methodology for the isolation of marine non‐filamentous bacteria with the final intention of detecting the ones with the ability to produce cytotoxic compounds (Machado et al., 2015). To explore this, a proof of concept was done using a marine sponge (Haplosclerida order) from where previously isolated pederin‐like molecules were detected (Schleissner et al., 2017). Another bacterial isolation technique, i.e. solid plate isolation technique, was applied in parallel for comparison purposes (Klein Jan et al., 2017). To our knowledge, this is the first study to apply DTE coupled with an automatizable 384‐liquid media format, followed by antiproliferative tests for human cancer cell lines, to a marine sponge‐associated bacteria, in order to look for new chemical entities to fight against cancer.

Results indicated that the DTE approach has been successfully applied for the isolation of bioactive compounds and shows promise for future high‐throughput optimizations for increasing the number of non‐filamentous bacteria cultures that can be surveyed.

The solid media isolation method shows obvious advantages. It allows the isolation of microorganisms in a plethora of media with very simple equipment (Overmann, 2013; Bonnet et al., 2020). Nevertheless, it has some limitations that the DTE method can reinforce, e.g. the difficulty in scalability and automatization of the Petri dish format. Furthermore, the microfermentations in 384‐well plates format make this protocol very suitable for liquid handling equipment and thus for high‐throughput screening programme (Betts and Baganz, 2006). Moreover, solid media isolation follows the sample‐isolation‐fermentation sequence, resulting in the isolation of a great number of redundant isolated bacteria (Fig. 1A–J in red). However, the tested method goes directly from sample to fermentation, and only bioactive cultures with novel compounds are isolated and characterized (Fig. 1A–K in blue), allowing to test thousands of strains for activity without plate spreading, colony visual picking, isolation and/or re‐isolation (Hoefman et al., 2012).

Another advantage observed of applying DTE cultivation, together with the 384‐liquid media format is the increase of culturability in terms of abundance of bacteria that could render in a higher biodiversity of species. For the DTE method, to determine the bacterial abundance of the sample needed for further dilution calculations, the count has been done indirectly by inoculating a volume of the homogenized sample on Petri plates filled with isolation agar medium instead of using other more common methods (e.g. microscope visualization or flow cytometry measure). Through this step, it was possible to avoid counting dead or non‐viable cells, allowing for a more accurate dilution calculation. By doing this, we observed that a high density of CFUs in the same Petri dish (over 50) induced inhibition or competition phenomena that inhibited the growth of some of the microorganisms, the number of CFUs ml−1 observed on the 384 microtiter plates being approximately twice that expected. These two issues indicate that DTE gets better results in terms of number of grown organisms than solid media isolation. Further studies would be needed to determine if the increase happens also in terms of biodiversity (Klein Jan et al., 2017). Moreover, the low 384‐well microculture volume used (50 µl) provides the bacteria with a comfortable environment for growing but still allows a single cell to reach detectable population densities. Truth being that some organisms need to grow together (Joint et al., 2010), it is also true that numerous microorganisms have the ability to produce chemical entities such as antibiotics that inhibit in some ways the growth of the closest individuals of other species. With the fermentation carried out in such a small volume and physically independent compartments, we prevent any kind of communication between cultures and obtain grown cultures after short periods of incubation. This conclusion is supported by twofold increase in recovered cells CFUs µl−1 recounted on liquid media 384‐well plates, with respect to solid media Petri dishes. In our assay, the percentage of mixed bioactive culture obtained (11%) were higher than the threshold established (5%) but still being admissible, taking into account different factors that affect the dilution, such as particles or consortia.

Regarding the diversity of taxa obtained, the fact that our DTE method has been able to isolate the producer L. alexandrii becomes relevant. Moreover, the finding of three bioactive strains of the same genus (and different species) in comparison with the bioactive strain obtained with the solid plate method is very significant. The bioactive strains isolated with the DTE method showed the same morphology and it would have been discarded if a colony visual picking selection were applied. In that sense, the isolation of different strains of the same species provides an opportunity to find better producers since they might synthesize different molecules (Romano et al., 2018) which would help in a hypothetical improvement of the production process. However, the expansion of the number of samples to be assayed with the DTE method in parallel with a broader morphological isolation of samples obtained on solid media is needed in order to have a more reliable biodiversity rate of cultivable bacteria.

Together, these results validate the combination of DTE with a 384‐plate format and antiproliferative tests for the exploration of cultures for mew marine strains. We are currently expanding the potential of DTE to the exploration of cultures for new marine strains by enabling the use of different media and isolation timings.

Experimental procedures

Sample collection and conditioning

The studied organism is a marine sponge belonging to the Haplosclerida order. It was collected in January 2017, from a depth of 47 metres, off the shores of Palau (02°55.657′N 131°47.592′E) in the Pacific Ocean. The sample was directly preserved at −30°C in water with glycerol (20% v/v) and sea salts (Tropic Marine PROREEF 2.7% w/v). In the laboratory, the sample was mechanically homogenized with mortar and filtered through an 80‐µm mesh to discard debris. The final volume was kept at −80°C in 200‐µl Eppendorf tubes (Fig. 1B in blue).

Dilution‐to‐extinction calculations

To determine the average number of colony‐forming units per µl (CFUs µl−1) in the sample, inoculation of the homogenized sample on marine agar (Marine Broth, Difco® 2216) with cycloheximide (0.02% w/v) was performed. It was carried out through four replicate dilutions of 10, 5, 1 and 0.1 µl of the homogenized previously suspended in a total volume of 100 µl of purified water with marine salt (27 g l−1) (Fig. 1C in blue). The dishes were incubated at 28°C during 2 weeks and the colonies were counted daily to determine the moment of no more colonies growth, which in our case, corresponded to ten days. The results after statistical treatment showed that means from 10 and 5 µl per plate were not reproducible because of their high standard deviation (Fig. 2). Hence, the CFUs µl−1 were calculated based on the 1, 0.5 and 0.1 µL dilution replicates, with a resulting average number of 47.6 CFUs µl−1 in the sample.

In order to maximize the number of pure cultures per plate with the lowest number of mixed cultures, a probability calculation of independent events was made based on P AB = P A* P B, where P AB is the calculated probability and P A and P B the probability of each independent event. If the accepted percentage of twice inoculated wells is established in 5% (P AB) and the probability of each well of being inoculated is N/384 (for P A and P B); then, the number of calculated CFUs inoculated per plate (N) would be 85.86. For the next step of inoculation in liquid media, we corrected the volume of homogenized sample used as a factor for the higher number of colonies that grew in liquid, in comparison with solid media (Fig. 1D in blue).

Isolation, grown culture picking and induction cultures

The broadly used medium for marine bacteria, marine broth (Difco 2216), supplemented with cycloheximide (0.02% w/v), was used for growing L. alexandrii, since it was reported to be adequate for that species (Sipkema et al., 2011). Moreover, its low absorbance made it suitable for the DTE isolate detection. Cultures were done in 384‐well polystyrene plates with a volume of 50 µl of marine broth per well. Filling and inoculation of plates were done by the liquid handling robot EVO100 (Tecan®, Männedorf, Switzerland). The progressive appearance of grown wells was determined, based on 5 replicates. The results showed a slowdown in the appearance of new CFU after 5 days of incubation. Overall, incubation was set to 5 days at 28°C and 280 r.p.m. in a rotatory shaker (Kuhner®, Basel, Switzerland) with 5 cm eccentricity. The detection of wells with growth was performed by optical density measurement, using an Omega POLARstar (BMG LABTECH®, Ortenberg, Germany) reader. The detection threshold was set over 0.3 at 600 nm (Fig. 1E in blue). The recovery of the cultures from the 384‐well plates and the inoculation on 96‐well plates with 750 µl of fresh medium Marine Broth (Difco® 2216) per well, was performed with a liquid handling robot MicroLab Star (Hamilton®, Reno, NV, USA). The plates were incubated for 5 days at 28°C and 280 r.p.m. All the remaining volume, after inoculation of the induction cultures, was stored at −80°C with glycerol (20%) for further analyses. Finally, the induction cultures (Fig. 1F in blue) were carried out in the medium 2MPD1 F (soybean flour (Sigma®, Saint Louis, MO, USA) 5 g l−1, bacto peptone (Difco®, Hampton, NH, USA) 2 g l−1, corn steep powder (Roquette Solulys® 095E) 2 g l−1, mannitol 20 g l−1, CO3Ca 10 g l−1, sea salts (Pro Reef®) 36 g l−1) and 3MTM F (soybean flour (Sigma®) 20 g l−1, corn steep powder (Roquette Solulys® 095E) 5 g l−1, glycerol 5 g l−1, CO3Ca 10 g l, sea salts (Pro Reef®, Wartenberg, Germany) 20 g l−1) with 5 days of incubation at 28°C and shaking at 230 r.p.m.

Extraction and antiproliferative experiments

After incubation, the broths were lyophilized and extracted with a mixture of methanol, acetone and water (1:1:0.2 v/v). The dried crude extracts were screened for cytotoxic activity (Fig. 1G in blue) against four tumour cell lines: A549 (ATCC CCL‐185) (lung carcinoma, NSCLC); HT‐29 (ATCC HTB‐38) (colon adenocarcinoma); MDA‐MB‐231 (ATCC HTB‐26) (breast adenocarcinoma); and PSN‐1 (ATCC CRL‐3211) (pancreas adenocarcinoma). All the cell lines derived from human cancer and were obtained from the American Type Culture Collection (ATCC). Cells were maintained in Dulbecco’s modified Eagle’s medium (DMEM) (except PSN‐1 that was maintained in Roswell Park Memorial Institute 1640 Medium (RPMI)), supplemented with 10% fetal bovine serum (FBS), 2 mM l‐glutamine, 100 U ml−1 penicillin and 100 U ml−1 streptomycin at 37°C, 5% CO2 and 98% humidity. For the experiments, cells were harvested from subconfluent cultures using trypsinization and resuspended in fresh medium before counting and plating. Crude extracts are resuspended with DMSO and DMEM and dispensed to culture plates containing the cells (final concentration of DMSO 1% (v/v)) to perform the cytotoxic assay. After 48 h of treatment, cytotoxic activity was measured based on the inhibition of cellular proliferation values in comparison with the control cells (Table S1).

DNA_Fingerprint and taxonomy

The samples that showed antitumour activity were recovered from −80°C and re‐cultured on solid marine agar (Marine Broth, Difco® 2216). Genomic DNA from pure isolates was extracted using the Qiagen DNeasy tissue kit (Qiagen). ERIC‐PCR genomic fingerprinting (Fig. 1H in blue) was performed using ERIC‐2 primer (5′‐AAG‐TAA‐GTG‐ACT‐GGG‐GTG‐AGC‐G‐3′), following the amplification conditions described in Versalovic et al. (1991). The bands generated by electrophoresis of the PCR amplifications were analysed in a QIAxcel (Qiagen), and sizes were calculated by comparison with DNA molecular size markers (100 bp–2.5 Kb marker, Qiagen). The fingerprint information from other bacteria strains of the genus Labrenzia that produce Labrenzin was also included in the analyses. Cluster analyses were performed in bionumerics software v7.6.3, employing the Pearson correlation coefficient with a 2% curve smoothing. A cut‐off value of 95% was used to separate genetically different isolates. From those that were identical isolates, the representative ones showing the higher cytotoxic activity were selected and included in the bacterial collection at PharmaMar. These samples were also subjected to 16S rRNA gene sequence analyses to determine their taxonomy based on BLASTp comparisons with SILVA LTP132 database (www.arb‐silva.de). Primers used for amplification were 63‐F (5′‐CAGGCCTAACACATGCAAGTC‐3′) and 1387‐R (5′‐GGGCGGWGTGTACAAGGC‐3′) (Marchesi et al., 1998). PCR was performed with an initial denaturation step at 95°C for 1 min, followed by 30 cycles of denaturation at 94°C for 1 min, annealing at 58°C for 50 s and extension at 72°C for 1 min, with a final extension step at 72°C for 10 min. Moreover, two strains of L. alexandrii (ANN‐17‐096‐035 and KEN‐14‐087A) from our collection were grown and sequenced for comparison purposes. Partial nucleotide sequences of the 16S rDNA gene were aligned with clustal X v2 using the default parameters and verified manually in order to maximize positional homology. All positions with gaps were omitted for the phylogenetic reconstructions. Additionally, sequences retrieved from the SILVA LTPS 132 database were also included in the analyses. The data set was subjected to the neighbour‐joining (Saitou and Nei, 1987) and maximum‐likelihood (ML) method of phylogenetic inference. Analyses were carried out with paup v4.0b10 (Swofford, 2003). The Akaike information criterion (AIC) implemented in modeltest v2 (Posada and Crandall, 1998) was used to select the evolutionary model that best‐fitted the empirical data set. The TIM (‘transitional model’) was selected as the best‐fitted model to the data set. Robustness of the resulting tree was tested with 1000 bootstrapping (Felsenstein, 1985).

Chemical de‐replication

The remaining aliquots were further subjected to de‐replication through their mass spectra to look for known compounds (Fig. 1H). (+)‐ESIMS were recorded using an Agilent 1100 Series LC/MSD spectrometer. High‐resolution mass spectroscopy (HRMS) was performed on an Agilent 6230 TOF LC/MS system using the ESIMS technique.

Solid media isolation and characterization of the sample

Solid media isolation of the sample was carried out in parallel to the previous method. Five different media, Benedict agar BEN (1/2 dilution), ammonium mineral salts (AMS), marine broth (Difco 2216), marine broth (Difco 2216) supplemented with streptomycin (100 mg l−1) and marine broth (Difco 2216) supplemented with trimethoprim (30 mg l−1) were used. Three replica plates of each condition were inoculated with 30 µl of the homogenized sample and incubated for ten days at 28°C. After incubation, visually different colonies were selected and re‐cultured in new plates to obtain pure growth. The characterization, fermentation and cytotoxic test of all the isolated bacteria were performed following the procedures described before, with some variations in the organization of the steps (Fig. 1A–J in red).

As a result, 35 morphologically different colonies were selected, and at the end of the process, one culture with a cytotoxicity assay‐positive result was detected. The active organism (named ANN‐17‐096‐035, Figs 3 and 4) was identified as L. alexandrii, and the cytotoxic activity was produced by the pederin‐like molecule, labrenzin.

Conflict of interest

The authors declare no conflict of interest.

Supporting information

Fig. S1. Chromatographic profile and mass spectra of the strain ANN‐17‐096L‐007 highlighting labrenzin characteristic peaks. The authenticity of labrenzin was inferred from its HRESI and its 2D NMR spectra previously described (Schleissner et al., 2017)

Table S1. Cytotoxic activity (measured as growth inhibition, in %) for the 28 active cultures obtained against the cancer cell lines. The threshold for antitumor activity was established for inhibition values below 25% in three of the four cancer cell lines tested.

Acknowledgements

The present study was funded in part by the Ministry of Economy and Competitiveness and the Ministry of Science, Innovation and Universities of Spain under the Spanish National Research Program RETOS‐Colaboración with the project numbers RTC‐2016‐4892‐1 (DESPOL) and RTC‐2017‐6405‐1 (MARBIOM), respectively. The authors would like to thank Gema Santamaria for performing the antiproliferative activity assays. We also thank the Subject Editor and two anonymous reviewers for their comments on a previous version of the manuscript.

Microbial Biotechnology (2021) 14(1), 241–250

Funding information

The present study was funded in part by the Ministry of Economy and Competitiveness and the Ministry of Science, Innovation and Universities of Spain under the Spanish National Research Program RETOS‐Colaboración with the project numbers RTC‐2016‐4892‐1 (DESPOL) and RTC‐2017‐6405‐1 (MARBIOM), respectively.

References

  1. Alves, C. , Silva, J. , Pinteus, S. , Gaspar, H. , Alpoim, M.C. , Botana, L.M. , and Pedrosa, R. (2018) From marine origin to therapeutics: the antitumor potential of marine algae‐derived compounds. Front Pharmacol 9: 1–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Ben‐Dov, E. , Kramarsky‐Winter, E. , and Kushmaro, A. (2009) An in situ method for cultivating microorganisms using a double encapsulation technique. FEMS Microbiol Ecol 68: 363–371. [DOI] [PubMed] [Google Scholar]
  3. Betts, J.I. , and Baganz, F. (2006) Miniature bioreactors: current practices and future opportunities. Microb Cell Fact 5: 21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bonnet, M. , Lagier, J.C. , Raoult, D. , and Khelaifia, S. (2020) Bacterial culture through selective and non‐selective conditions: the evolution of culture media in clinical microbiology. New Microbes New Infect 34: 100622. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Carroll, A.R. , Copp, B.R. , Davis, R.A. , Keyzers, R.A. , and Prinsep, M.R. (2019) Marine natural products. Nat Prod Rep 36: 122–173. [DOI] [PubMed] [Google Scholar]
  6. Castro, D.J. , Llamas, I. , Béjar, V. , and Martínez‐Checa, F. (2017) Blastomonas quesadae sp. Nov., isolated from a saline soil by dilution‐to‐extinction cultivation. Int J Syst Evol Microbiol 67: 2001–2007. [DOI] [PubMed] [Google Scholar]
  7. Connon, S.A. , and Givannoni, S.J. (2002) High‐throughput methods for culturing microorganisms in very‐low‐nutrient media. Appl Environ Microbiol 68: 3878–3885. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Dias, D.A. , Urban, S. , and Roessner, U. (2012) A Historical overview of natural products in drug discovery. Metabolites 2: 303–336. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Felsenstein, J. (1985) Phylogenies and the comparative method. Am Nat 125: 1–15. [Google Scholar]
  10. Hoefman, S. , van der Ha, D. , De Vos, P. , Boon, N. , and Heylen, K. (2012) Miniaturized extinction culturing is the preferred strategy for rapid isolation of fast‐growing methane‐oxidizing bacteria. Microb Biotechnol 5: 368–378. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Ingham, C.J. , Sprenkels, A. , Bomer, J. , Molenaar, D. , van den Berg, A. , van Hylckama Vlieg, J.E.T. , and de Vos, W.M. (2007) The micro‐Petri dish, a million‐well growth chip for the culture and high‐throughput screening of microorganisms. Proc Natl Acad Sci USA 104: 18217–18222. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Jimenez, P.C. , Wilke, D.V. , Branco, P.C. , Bauermeister, A. , Rezende‐Teixeira, P. , Gaudêncio, S.P. , and Costa‐Lotufo, L.V. (2020) Enriching cancer pharmacology with drugs of marine origin. Br J Pharmacol 177: 3–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Joint, I. , Mühling, M. , and Querellou, J. (2010) Culturing marine bacteria ‐ an essential prerequisite for biodiscovery: Minireview. Microb Biotechnol 3: 564–575. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Jung, D. , Seo, E.‐Y. , Epstein, S.S. , Joung, Y. , Han, J. , Parfenova, V.V. , et al (2014) Application of a new cultivation technology, I‐tip, for studying microbial diversity in freshwater sponges of Lake Baikal, Russia. FEMS Microbiol Ecol 90: 417–423. [DOI] [PubMed] [Google Scholar]
  15. Keller, M. , and Zengler, K. (2004) Tapping into microbial diversity. Nat Rev Microbiol 2: 141–150. [DOI] [PubMed] [Google Scholar]
  16. Klein Jan, H. , Jeanthon, C. , Boyen, C. , and Dittami, S.M. (2017) Exploring the cultivable Ectocarpus microbiome. Front Microbiol 8: 1–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Machado, H. , Sonnenschein, E.C. , Melchiorsen, J. , and Gram, L. (2015) Genome mining reveals unlocked bioactive potential of marine Gram‐negative bacteria. BMC Genom 16: 1–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Marchesi, J.R. , Sato, T. , Weightman, A.J. , Martin, T.A. , Fry, J.C. , Hiom, S.J. , and Wade, W.G. (1998) Design and evaluation of useful bacterium‐specific PCR Primers that amplify genes coding for 16S rRNA. Appl and Environ Microbiol 64: 795–799. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Mohamed, R. (2013) Dilution‐to‐extinction culturing of SAR11 members and other marine bacteria from the Red Sea. Thesis. Saudi Arabia: King Abdullah University of Science and Technology. [Google Scholar]
  20. Nichols, D. , Cahoon, N. , Trakhtenberg, E.M. , Pham, L. , Mehta, A. , Belanger, A. , et al (2010) Use of Ichip for high‐throughput in situ cultivation of “uncultivable” microbial species. Appl Environ Microbiol 76: 2445–2450. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Nigam, M. , Suleria, H.A.R. , Farzaei, M.H. , and Mishra, A.P. (2019) Marine anticancer drugs and their relevant targets: a treasure from the ocean. DARU J Pharm Sci 27: 491–515. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Overmann, J. (2013) Principles of enrichment, isolation, cultivation, and preservation of prokaryotes In The Prokaryotes: Prokaryotic Biology and Symbiotic Associations. Rosenberg, E. , DeLong, E.F. , Lory, S. , Stackebrandt, E. , and Thompson, F. (eds). Berlin, Heidelberg: Springer, pp. 149–207. [Google Scholar]
  23. Overmann, J. , Abt, B. , and Sikorski, J. (2017) Present and future of culturing bacteria. Annu Rev Microbiol 71: 711–730. [DOI] [PubMed] [Google Scholar]
  24. Piel, J. (2009) Metabolites from symbiotic bacteria. Nat Prod Rep 26: 338–362. [DOI] [PubMed] [Google Scholar]
  25. Posada, D. , and Crandall, K.A. (1998) MODELTEST: testing the model of DNA substitution. Bioinformatics 14: 817–818. [DOI] [PubMed] [Google Scholar]
  26. Rappé, M.S. , Connon, S.A. , Vergin, K.L. , and Giovannoni, S.J. (2002) Cultivation of the ubiquitous SAR11 marine bacterioplankton clade. Nature 418: 630–633. [DOI] [PubMed] [Google Scholar]
  27. Romano, G. , Costantini, M. , Sansone, C. , Lauritano, C. , Ruocco, N. , and Ianora, A. (2017) Marine microorganisms as a promising and sustainable source of bioactive molecules. Mar Environ Res 128: 58–69. [DOI] [PubMed] [Google Scholar]
  28. Romano, S. , Jackson, S. , Patry, S. , and Dobson, A. (2018) Extending the “One Strain Many Compounds” (OSMAC) principle to marine microorganisms. Mar Drugs 16: 244. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Saitou, N. , and Nei, M. (1987) The neighbor‐joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol 4: 406–425. [DOI] [PubMed] [Google Scholar]
  30. Schleissner, C. , Cañedo, L.M. , Rodríguez, P. , Crespo, C. , Zúñiga, P. , Peñalver, A. , et al (2017) Bacterial production of a pederin analogue by a free‐living marine alphaproteobacterium. J Nat Prod 80: 2170–2173. [DOI] [PubMed] [Google Scholar]
  31. Schut, F. , de Vries, E.J. , Gottschal, J.C. , Robertson, B.R. , Harder, W. , Prins, R.A. , and Button, D.K. (1993) Isolation of typical marine bacteria by dilution culture: growth, maintenance, and characteristics of isolates under laboratory conditions. Appl Environ Microbiol 59: 2150–2160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Sipkema, D. , Schippers, K. , Maalcke, W.J. , Yang, Y. , Salim, S. , and Blanch, H.W. (2011) Multiple approaches to enhance the cultivability of bacteria associated with the marine sponge Haliclona (gellius) sp. Appl Environ Microbiol 77: 2130–2140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Staley, J.T. , and Konopka, A. (1985) Measurement of in situ activities of nonphotosynthetic microorganisms in aquatic and terrestrial habitats. Annu Rev Microbiol 39: 321–346. [DOI] [PubMed] [Google Scholar]
  34. Stewart, E.J. (2012) Growing unculturable bacteria. J Bacteriol 194: 4151–4160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Swofford, D. (2003) PAUP*. Phylogenetic Analysis Using Parsimony (*and Other Methods). Version 4.0b10. Sunderland: Sinauer Associates. [Google Scholar]
  36. Versalovic, J. , Koeuth, T. , and Lupski, R. (1991) Distribution of repetitive DNA sequences in eubacteria and application to fingerprinting of bacterial genomes. Nucleic Acids Res 19: 6823–6831. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Weber, T. , and Kim, H.U. (2016) The secondary metabolite bioinformatics portal: computational tools to facilitate synthetic biology of secondary metabolite production. Synth Syst Biotechnol 1: 69–79. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Zengler, K. , Toledo, G. , Rappé, M. , Elkins, J. , Mathur, E.J. , Short, J.M. , and Keller, M. (2002) Cultivating the uncultured. Proc Natl Acad Sci USA 99: 15681–15686. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Zhang, H. , Zhao, Z. , and Wang, H. (2017) Cytotoxic natural products from marine sponge‐derived microorganisms. Mar Drugs 15: 68. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Fig. S1. Chromatographic profile and mass spectra of the strain ANN‐17‐096L‐007 highlighting labrenzin characteristic peaks. The authenticity of labrenzin was inferred from its HRESI and its 2D NMR spectra previously described (Schleissner et al., 2017)

Table S1. Cytotoxic activity (measured as growth inhibition, in %) for the 28 active cultures obtained against the cancer cell lines. The threshold for antitumor activity was established for inhibition values below 25% in three of the four cancer cell lines tested.


Articles from Microbial Biotechnology are provided here courtesy of Wiley

RESOURCES