Application of Transposon Insertion Sequencing to Agricultural Science

Fabian, Belinda K.; Tetu, Sasha G.; Paulsen, Ian T.

doi:10.3389/fpls.2020.00291

REVIEW article

Front. Plant Sci., 18 March 2020

Sec. Crop and Product Physiology

Volume 11 - 2020 | https://doi.org/10.3389/fpls.2020.00291

This article is part of the Research Topic Next Generation Agriculture: Understanding Plant Life for Food, Health and Energy View all 19 articles

Application of Transposon Insertion Sequencing to Agricultural Science

$\r\nBelinda K. Fabian,$ Belinda K. Fabian^1,2

Sasha G. Tetu^1,2*

Ian T. Paulsen^1,2*

¹ARC Centre of Excellence in Synthetic Biology, Macquarie University, Sydney, NSW, Australia
²Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia

Many plant-associated bacteria have the ability to positively affect plant growth and there is growing interest in utilizing such bacteria in agricultural settings to reduce reliance on pesticides and fertilizers. However, our capacity to utilize microbes in this way is currently limited due to patchy understanding of bacterial–plant interactions at a molecular level. Traditional methods of studying molecular interactions have sought to characterize the function of one gene at a time, but the slow pace of this work means the functions of the vast majority of bacterial genes remain unknown or poorly understood. New approaches to improve and speed up investigations into the functions of bacterial genes in agricultural systems will facilitate efforts to optimize microbial communities and develop microbe-based products. Techniques enabling high-throughput gene functional analysis, such as transposon insertion sequencing analyses, have great potential to be widely applied to determine key aspects of plant-bacterial interactions. Transposon insertion sequencing combines saturation transposon mutagenesis and high-throughput sequencing to simultaneously investigate the function of all the non-essential genes in a bacterial genome. This technique can be used for both in vitro and in vivo studies to identify genes involved in microbe-plant interactions, stress tolerance and pathogen virulence. The information provided by such investigations will rapidly accelerate the rate of bacterial gene functional determination and provide insights into the genes and pathways that underlie biotic interactions, metabolism, and survival of agriculturally relevant bacteria. This knowledge could be used to select the most appropriate plant growth promoting bacteria for a specific set of conditions, formulating crop inoculants, or developing crop protection products. This review provides an overview of transposon insertion sequencing, outlines how this approach has been applied to study plant-associated bacteria, and proposes new applications of these techniques for the benefit of agriculture.

Introduction

A major component of agricultural ecosystems is the microbiota (bacteria, archaea, protists, fungi, and viruses) present on plants and in soils. Interactions between microbes and plants can be detrimental, commensal, or favorable (Buée et al., 2009). The benefits provided by microbes in agricultural systems include breaking down organic matter, fixing nutrients, making nutrients available for plant use, nutrient recycling, defense against plant pathogens and improving abiotic stress tolerance (Naik et al., 2019). To survive and thrive in their niche, plant-associated microbes need to be able to evade host defenses, use the nutrients available from the host and successfully compete with other microbes (Gonzalez-Mula et al., 2019).

To maximize crop production and minimize losses due to biotic and abiotic stresses it is increasingly clear that we need to take advantage of the benefits that beneficial microbes can provide. However, this is currently difficult to achieve with only a limited understanding of microbial gene functions and their interactions with plants on a molecular level. An increasingly common approach when studying agricultural microbiota is to ascertain microbial community composition using metagenomics (Shelake et al., 2019). This allows for the collection of genetic information about more members of the community than just the microbes that are able to be cultivated (Levy et al., 2018). Decreasing sequencing costs have facilitated the rapid generation of vast amounts of genomic data. However, collecting this sequence information does not readily translate into understanding what functions are being performed within a microbial community and what genes are involved (van Opijnen and Camilli, 2013; Vorholt et al., 2017).

The traditional methods for experimental demonstration of gene function, such as gene knockouts and over-expression, happen at a much slower pace than the rate at which genomic information is accumulating (Chang et al., 2016). The laborious and often problematic nature of this gene function characterization (see section “Saturation Transposon Insertion Mutagenesis and High Throughput DNA Sequencing”) means only a small proportion of genes in a small number of microbes from agricultural systems have been experimentally investigated (Price et al., 2018a). For microbes that have not been experimentally characterized, sequence homology, genome location or similarity of domains is often used to infer gene function, but predictions of gene or organism function generated by these computational approaches are often erroneous, especially when the closest characterized relative is separated by a large phylogenetic distance (Mutalik et al., 2019). There are many circumstances where even these methods geared at prediction of gene function do not yield any functional information and genes remain annotated as hypothetical proteins. The combination of these issues results in the functions of many microbial genes remaining unknown or poorly understood (Van Opijnen and Camilli, 2012; Jarboe, 2018). This is currently limiting our understanding of the role many microbes play in agricultural and other systems and hampers interpretation of microbiome survey data and efforts to formulate optimal plant associated microbial communities (Shelake et al., 2019).

Most of what is currently known about genes involved in beneficial plant interactions has been determined by comparing genomes and individually testing genes that correlate with a phenotype of interest (Levy et al., 2018). A high throughput method of gathering gene functional information and relating genotype to phenotype is required to rapidly advance our understanding of the complex molecular interactions that occur between microbes and plants (van Opijnen and Camilli, 2013; Perry et al., 2016) and move beyond cataloging microbial community members toward a mechanistic understanding of agricultural microbiomes (Poole et al., 2018).

The Need for Alternatives to Pesticides and Fertilizers

To provide food and fiber for the rapidly growing global population, crop yields need to increase dramatically (Godfray et al., 2012; Pardey et al., 2014). In the past, agricultural intensification has been enabled by the use of pesticides, fertilizers, machinery, and increased plowing depth and sowing density. While this has previously been adequate to increase crop yields and meet global demand (Emmerson et al., 2016), these methods are no longer delivering sufficient increases in yields and are contributing to biodiversity declines which can have flow on effects for agricultural yields, for example, pollination services that are critical for food production (Gallai et al., 2009; Tscharntke et al., 2012). Declines in the rates at which crop yields are increasing, the changing climate and abiotic stresses (especially water availability and salinity) mean that new approaches are necessary to meet demand for food and fiber (Ray et al., 2012; Backer et al., 2018). The major ways to meet this demand while holding agricultural land area stable are to increase crop yields and/or dramatically reduce the quantity of crops lost to disease (Phalan et al., 2011; Godfray et al., 2012).

One path to increasing biomass accumulation and increasing crop yields is through the addition of fertilizers to crop lands. When fertilizers with elevated levels of nitrogen and phosphorus are added to fields they can create an imbalance in the inorganic nutrients present in the soil (Gosal et al., 2018). The addition of phosphorus in this way results in a large proportion binding to soil particles (immobilization) and not being biologically available for plant use (Khan et al., 2007). Excessive use of fertilizers can lead to surrounding lands being contaminated through run-off, changes to the physico-chemical properties of soil and detrimental impacts on the native soil microbiota which can have flow on effects for the resilience of agricultural soils and crop yields (Jangid et al., 2008; Santhanam et al., 2015; Naik et al., 2019). For these reasons, there is increasing recognition that alternatives to inorganic fertilizers are needed (Cordell et al., 2009).

Every year 20–40% of global food production is lost worldwide to plant pests and diseases despite efforts to control crop diseases using pesticides and other crop management techniques (FAO, 2016). Crop diseases are mainly controlled through the use of pesticides and farming practices, such as crop rotation, integrated pest management and the development of disease resistant crop varieties (Syed Ab Rahman et al., 2018). Continuously using pesticides as the major weapon against crop pathogens ultimately results in the pathogens developing resistance and pesticides losing their effectiveness. This has been observed in Zymoseptoria tritici, the fungal causative agent for Septoria tritici blotch, progressively evolving resistance to fungicides in Europe since the early 2000s, and since 2011 in Tasmania, Australia (McDonald et al., 2019). The Fungicide Resistance Action Committee (FRAC), a pesticide industry expert group, lists over 429 instances of plant pathogens becoming resistant to fungicides (Fungicide Resistance Action Committee [FRAC], 2018).

In many instances, farmers have to apply higher doses and multiple pesticides to combat this rising resistance; eventually plant pathogens will no longer be controllable using existing pest control methods (Lucas et al., 2015). In addition to rising pathogen resistance, the application of pesticides to crops may cause detrimental off-target effects for many other members of these ecosystems. Commensal and beneficial microbes are often killed and insects that are protecting crops from herbivory or providing essential services such as pollination are damaged or removed from these habitats (Bünemann et al., 2006; Geiger et al., 2010). With the combination of the slowing rate of discovery and development of new pesticides (Borel, 2017), resistance developed by pathogens and the harm pesticides cause to the environment it is widely agreed that new methods of disease control are needed (Syed Ab Rahman et al., 2018).

Boosting Crop Yields Via Application of Beneficial Bacteria

Many plant-associated bacteria are now understood to have the capacity to positively affect plant growth and there is growing interest in utilizing such bacteria in agricultural settings to reduce reliance on pesticides and fertilizers (Naik et al., 2019). These plant growth promoting bacteria colonize the surface of plants and the thin layer of soil surrounding the plant roots (rhizosphere; Zhang et al., 2017). These bacteria use the nutrients exuded from plant roots to fuel their growth and in turn can stimulate plant growth (Buée et al., 2009).

Plant growth is promoted by such bacteria in a number of direct and indirect ways (Figure 1). Firstly, beneficial bacteria can assist with biofertilization, increasing the bioavailability of nutrients for plant use. Examples include atmospheric nitrogen fixation (Ke et al., 2019), solubilizing phosphate (Arkhipova et al., 2019; Wu et al., 2019) and the production of iron binding siderophores which can be taken up by plants (Flores-Félix et al., 2015). The second way rhizobacteria can stimulate plant growth is through the production of phytohormones (also referred to as plant growth regulators). These hormones can stimulate plant growth in the same way as endogenous plant hormones. For example, the endophytic bacteria Sphingomonas sp. LK11 releases gibberellins which increases tomato plant shoot length and root weight (Khan et al., 2014). Thirdly, beneficial bacteria can ameliorate the effect of abiotic stresses and lead to increased tolerance of abiotic stresses. The presence of Pseudomonas putida AKMP7 has been shown to promote wheat growth under heat stress (Ali et al., 2011) and under waterlogged conditions Achromobacter xylosoxidans Fd2 induces waterlogging tolerance which results in 46.5% higher yield from Holy basil plants (Ocimum sanctum; Barnawal et al., 2012). The final direct method of promoting plant growth is rhizoremediation. This is when soil bacteria degrade pollutants and attenuate the effects of toxins in the soil. The removal of these contaminants from the environment reduces the stress on the plant and results in increased plant growth (Correa-Garcia et al., 2018). For example, rice growth in heavy metal contaminated soils is boosted by cadmium-resistant Ochrobactrum sp. and lead- and arsenic-resistant Bacillus sp. (Pandey et al., 2013).

FIGURE 1

Figure 1. Mechanisms of plant growth promotion by beneficial bacteria. Phytohormone production, abiotic stress tolerance, rhizoremediation and biofertilization are direct methods of plant growth promotion. In contrast, biocontrol is an indirect method of plant growth promotion operating through competition with pathogens, priming plant defenses and producing antimicrobial compounds.

The indirect method for promoting plant growth is when beneficial microbes are used to control plant pathogens, an eco-friendly and sustainable process termed biocontrol (Handelsman and Stabb, 1996). Biocontrol bacteria reduce the impacts that pathogens have on plants through three interacting mechanisms (Figure 1). Firstly, the beneficial microbes grow in the same spaces as the pathogens and compete with them for nutrients and niches. For example, the biocontrol bacteria Chryseobacterium sp. WR21 controls bacterial wilt disease by more effectively competing for tomato root exudates compared to the pathogenic bacteria Ralstonia solanacearum (Huang et al., 2017). The second method for reducing the impact of plant pathogens is through the induction of plant systemic resistance. Bacillus amyloliquefaciens SQR9 primes the immune system of Arabidopsis against the pathogens Pseudomonas syringae pv. tomato DC3000 and Botrytis cinerea (Wu et al., 2018). The final technique used by plant growth promoting microbes is antibiosis through the production of antibiotics or metabolites. For example, the biocontrol bacteria Pseudomonas protegens Pf-5 produces the antibiotic pyoluteorin to protect cotton plants against infection by the oomycete pathogen Pythium ultimum (Howell and Stipanovic, 1980).

Consistent and reliable performance in protecting crops against pathogens is an essential characteristic of any plant growth promoting bacteria before consideration for development into a commercial crop protection or crop enhancement product. As a commercial product a bacterial inoculum will be applied in a broad range of settings with diverse physico-chemical parameters. Beneficial bacteria need to not only cope with a range of environments and climatic conditions, but actively enhance plant growth under such conditions. In addition to colonizing the crop host, the bacteria need to compete with existing soil microbiota for resources and be safe for the environment (Rosconi et al., 2016). The bacterial inoculum may be applied in conjunction with chemical pesticides and fertilizers, so it is advantageous if it is able to survive and maintain plant growth promoting activity in the presence of these additions and must also be able to survive packaging, transport and storage before it is applied to a crop (Glick, 2015; Backer et al., 2018). Ideally, the biocontrol agent should also be able to tolerate a range of environmental stresses, for example, drought, salinity, temperature or heavy metal pollution (Compant et al., 2019).

Over 30 bacterial strains have been successfully commercialized into crop inoculants (not including the many Rhizobia spp. used for legume crop inoculation; Glick, 2015), but there are many more beneficial strains of bacteria that have potential for development. Even for the beneficial bacteria that have been developed into commercial biocontrol agents, there is often no strong functional understanding of their mechanisms of action (Bardin et al., 2015). There is a clear need for high throughput functional analyses to investigate beneficial bacteria with potential for development into commercial agents (Backer et al., 2018). This would permit much faster identification of the metabolic pathways they use to gather resources, their modes of action in a variety of environments and hosts, and the roadblocks that are limiting their current application.

Saturation Transposon Insertion Mutagenesis and High Throughput DNA Sequencing

To further our understanding of plant-microbe and microbe-microbe interactions a faster method of determining microbial gene function is needed. The traditional methods of ascribing functions to genes (for example, making single gene knockouts or heterologous expression) are laborious and very slow as mutants are screened individually (Royet et al., 2019). In addition, these methods can be problematic, for example, gene expression in a heterologous bacterial host may exhibit an altered phenotype due to the different genomic context of the original organism (Levy et al., 2018). These methods are also reductionist; mutants are studied in isolation meaning that interactions between genes cannot be identified and genes may not appear important in pure culture even though they may be crucial in vivo (Poole et al., 2018).

In the last 10 years, the combination of saturation transposon mutagenesis with high throughput sequencing has enabled identification of the suite of genes and pathways that are important for plant growth promotion in a single experiment (Cole et al., 2017). The fundamental element that underlies this methodology is the transposon; a class of genetic elements that can move to different locations within a genome (Hoffman and Jendrisak, 2002). When a transposon inserts into a genome it may interrupt or modify the function of a gene or regulatory element resulting in a change in the organism’s phenotype, allowing phenotypic changes to be linked to specific gene disruptions (Hoffman et al., 2000; Reznikoff, 2008).

The first step in transposon insertion sequencing is generating a saturated mutant library by using a transposable element to generate a large population of cells with mutations at many locations throughout the genome (Barquist et al., 2013). The choice of transposable element depends on the organism; most commonly used are the Tn5 or mariner transposons (reviewed in Chao et al., 2016). Tn5 transposons insert randomly into the genome, while mariner transposons insert at TA sites. TA site occurrence is relatively regular across the genome but can vary at local scales. Knowing how many possible mariner transposons insertion sites there are in a genome allows for statistical calculations of transposon insertion saturation which is not possible in Tn5 based mutant libraries. On the other hand, as Tn5 transposons do not require a specific site for insertion into the genome these libraries can potentially have higher transposon insertion density (Chao et al., 2016).

A transposon insertion into an essential gene is most often fatal and mutants of these genes will not be included in the resulting mutant library (essentiality is relative to growth conditions; Barquist et al., 2013). Insertions within non-essential genes result in recoverable cells which may show phenotypic or fitness differences under some growth conditions (Hoffman et al., 2000). The goal of this approach is to generate a saturated mutant library of cells which collectively have transposon insertions throughout the genome, enabling assessment of the importance of each gene to fitness under a range of testable growth conditions (Barquist et al., 2016). For example, simultaneous fitness assessment of the hundreds of thousands of mutants in a library is possible by subjecting the mutant library to a defined condition such as exposure to a pesticide or colonization of a host (Chao et al., 2016; Calero et al., 2017; Figure 2).

FIGURE 2

Figure 2. Transposon insertion sequencing methodology for agriculturally relevant bacteria. High throughput sequencing of the starting population of bacterial mutants in the saturated transposon insertion library determines the locations of the transposon insertions in the genome. An aliquot of the mutant library is grown with a selective pressure (for example, persistence on root surfaces in either sterilized or natural soil, pesticide tolerance, abiotic stress), the surviving cells are recovered, and the transposon-chromosome junctions are sequenced. Changes in the abundances of each mutant in the starting pool compared with the challenge pool indicate which genes increase or decrease bacterial fitness under the challenge conditions. This provides information on the possible functions of these genes that can then be investigated by targeted follow up experiments.

Multiple methods for transposon insertion sequencing have arisen in the past decade, including TraDIS (Langridge et al., 2009), Tn-Seq (van Opijnen et al., 2009), HITS (Gawronski et al., 2009), and INSeq (Goodman et al., 2009). These methods have been further refined, for example Tn-Seq Circle (Gallagher et al., 2011), RB-TnSeq (Wetmore et al., 2015) and improvements to INSeq (Goodman et al., 2011) to reduce the time and resources required to carry out these studies or improve the effectiveness of the procedure. Other developments, such as TraDISort, enable physical enrichment of desired mutants via cell sorting (Hassan et al., 2016). All of these methods use similar approaches (Figure 2): (1) construct a saturated mutant library by transposon mutagenesis of a bacteria with a transposable element containing an antibiotic resistance cassette; (2) subject the library to challenge assays that affect the fitness of the cells containing mutated conditionally essential genes; (3) DNA extraction from recovered mutants and enrichment for transposon-chromosome junctions; (4) massively parallel sequencing of the mutant library input (pre-challenge) and output (post-challenge) pools; (5) bioinformatic analysis to map the location of each transposon insertion site in the genome; and (6) comparison of the number of reads at each transposon insertion site to determine the conditionally essential genes for the condition of interest.

The differences between the transposon insertion sequencing methods lie in the construction of the mutant library and the enrichment for transposon-chromosome junctions before sequencing. Tn-Seq and INSeq mutant libraries are constructed using mariner transposons. The inclusion of MmeI restriction sites at each end of the transposon allows for the chromosomal DNA either side of the transposon to be cut at a fixed length of 20 base pairs during preparation of Tn-Seq and INSeq libraries before sequencing. Adapter ligation follows and PCR and purification steps are carried out. The original INSeq protocol includes a PAGE gel purification step, while Tn-Seq uses agarose gel purification (van Opijnen and Camilli, 2013). Improvements to INSeq purification steps include the use of a biotinylated primer for PCR and magnetic bead purification to decrease the time and cost involved as well as increasing the technique’s sensitivity (Goodman et al., 2011). RB-TnSeq uses random barcodes with the transposon inserted into each cell. This allows for the chromosomal location of the transposon insertion to be mapped from the initial sequencing run and each subsequent sequencing run takes less time and funding (Wetmore et al., 2015). In HITS and TraDIS there is no restriction site included in the transposon, instead random shearing of the genomic DNA is employed, resulting in variable length DNA fragments. In TraDIS, adapters are ligated to all DNA fragments and enrichment of fragments of interest (those containing a transposon-chromosome junction) is achieved through PCR. The HITS technique includes these steps as well as an affinity purification step to purify the PCR amplicons of interest containing the transposon (Gawronski et al., 2009). The details of each method and the advantages and disadvantages have been comprehensively reviewed by Barquist et al. (2013) and van Opijnen and Camilli (2013).

A complementary approach to loss-of-function assays is dual-barcoded shotgun expression library sequencing (Dub-Seq), where gain-of-function overexpression libraries are used in competition assays to gather insights into gene function and the fitness of mutants that have increased gene dosage (Mutalik et al., 2019). Combining data from both gain- and loss-of-function approaches can lead to increased precision of biological insights and help to overcome the limitations when either approach is used in isolation (Mutalik et al., 2019).

The advantage of transposon insertion sequencing approaches is that gene functions can be identified without prior knowledge of their likely roles (Hassan et al., 2016). When using traditional methods of determining gene function, some information about a gene is necessary to establish a starting point for characterization; this can be problematic in situations when sequence databases and genome context do not give many (or any) clues about the function of hypothetical proteins. In contrast, transposon insertion sequencing approaches allow for the simultaneous collection of gene functional information for a large number of genes, even when no other information is available. By comparing the number of transposon-insertion reads in the mutant library before and after a selection pressure is applied the genes involved in coping with that pressure can be identified (diCenzo et al., 2018). Changes in the relative abundances of each mutant shows which genes have been positively or negatively affected by the challenge conditions and therefore their possible functions (Paulsen et al., 2017). Combining information from multiple challenge assays produces multi-dimensional data and leads to a greater functional understanding of both annotated and hypothetical proteins. Such information is useful in selecting candidate genes which are indicated to be required for improved fitness under the conditions of interest for further, targeted functional characterization.

Using a transposon insertion sequencing approach allows for the identification of the genetic factors likely to affect bacterial fitness in a complex condition or environment (Barquist et al., 2013). Transposon insertion sequencing techniques can be used to investigate the suite of genes required for in vivo growth in a single experiment, such as assays on plants or plant tissues (Cole et al., 2017). Employing the saturated transposon library in these types of complex, multi-faceted scenarios provides comprehensive information about the genes required to cope with in vivo selection pressures, how genes interact and create a complex phenotype, and can reveal the range of modes of action used by bacteria (van Opijnen and Camilli, 2013; Kohl et al., 2019).

To ensure transposon insertion sequencing is used appropriately there are some considerations that need to be taken into account in the design of these high throughput studies. Transposon insertion sequencing allows a mutant library of bacteria to be studied in conjunction with the existing microbiome of an organism to identify genes related to interacting with the host and the host’s microbiome (including beneficial, commensal and pathogenic microbes; Barquist et al., 2013). This technique has been successfully applied in animal models. For example, a Salmonella enterica serovar Typhimurium saturated mutant library was screened using chickens, pigs and cattle to identify the genes required for infection in each host (Chaudhuri et al., 2013). When using a dense mutant library in agricultural studies, experiments need to be designed to avoid bottlenecking the population due to insufficient plant surface area or resources to support bacterial growth (van Opijnen and Camilli, 2013). A related consideration when working with bacterial inoculants as part of an existing microbiome is the challenge of recovering enough mutant cells and extracting enough DNA to be able to conduct the high-throughput sequencing. Failure to recover sufficient library after a challenge could lead to biasing of the samples and insufficient sequence depth for reliable results. When analyzing data from transposon insertion sequencing experiments it is important to consider that fitness effects may not be solely due to the gene interrupted by the transposon insertion. If a transposon inserts into an operon or promoter region there could be downstream effects on gene expression.

There are also some limitations to where and how transposon insertion sequencing approaches can be applied. As with other molecular techniques, this approach is only feasible for genetically tractable microbes which can be cultured in the laboratory (Levy et al., 2018). Additional limitations include the inability to identify genes for which there is functional redundancy in the genome (Mutalik et al., 2019) or those encoding “public goods” (products that are secreted and shared with the community; Royet et al., 2019) as these functional deficiencies are unlikely to reduce the fitness of the individuals affected whilst they are in a mixed population (Cole et al., 2017).

The majority of initial studies using transposon insertion sequencing approaches focused on human pathogens, but these methods are starting to be used to examine other microbial lifestyles. Recent studies of human and animal pathogens include susceptibility and resistance of Escherichia coli to phage infection (Cowley et al., 2018), the mechanism of antibiotic binding in Staphylococcus aureus (Santiago et al., 2018), and resistance of Borrelia burgdorferi to reactive oxygen and nitrogen species (Ramsey et al., 2017). Non-pathogenic microbes are also being explored using transposon insertion sequencing methods, for example, regulation and biosynthesis of holdfast assembly has been investigated in Caulobacter crescentus (Hershey et al., 2019), circadian clock proteins have been identified in cyanobacteria (Welkie et al., 2018) and previously unknown bacterial amino acid biosynthesis genes have been identified in heterotrophic bacteria (Price et al., 2018b).

Transposon Insertion Sequencing and the Future of Agriculture

Current Uses of Transposon Insertion Sequencing for Plant-Associated Microbes

Transposon insertion sequencing techniques have been applied to study a relatively small number of plant-associated bacteria (Table 1). One application has been the discovery of genes critical for leaf, root and rhizosphere colonization (Cole et al., 2017; Liu et al., 2018; Helmann et al., 2019a; Sivakumar et al., 2019). An RB-TnSeq study of P. syringae found 31 genes important for colonization of common bean leaf surfaces, including amino acid and polysaccharide biosynthesis genes. Sixty-five genes were important for fitness in apoplastic environments, including those that make up the type III secretion system and syringomycin synthesis genes (Helmann et al., 2019a). Further in planta investigation of single gene mutants confirmed that ΔeftA and ΔPsyr_0920 mutants have decreased fitness in the apoplast, suggesting that these glycosyltransferase domain-containing genes are important for the evasion of plant surveillance systems (Helmann et al., 2019a). Investigations of Pseudomonas simiae found a large number of amino acid transporter genes are important for survival in the rhizosphere, suggesting that utilizing the amino acids exuded from plant roots confers a selective advantage over microbes that devote resources to the synthesis of these compounds (Cole et al., 2017). Inoculation of wild type and immunocompromised Arabidopsis plants with Pseudomonas sp. WC365 identified 231 genes involved in rhizosphere competence (Liu et al., 2018). Follow-up experiments with targeted single gene knockout mutants confirmed the role of the mutants ΔspuC and ΔmorA in inducing pattern-triggered immunity of the Arabidopsis host and inhibiting plant growth. Point mutations in the conserved GGDEF motif of MorA showed that this protein acts as a phosphodiesterase which inhibits biofilm formation (Liu et al., 2018).

TABLE 1

Table 1. Summary of transposon insertion sequencing studies of plant growth promoting and plant pathogenic bacteria.

Another application of transposon insertion sequencing examined interactions between plants and bacteria using legumes and their nitrogen-fixing symbionts, Rhizobium leguminosarum and Sinorhizobium meliloti. These studies identified genes important for surviving the environmental conditions inside root nodules (Wheatley et al., 2017) and genes that confer resistance to plant antimicrobial peptides (Arnold et al., 2017). Investigations of a previously unknown, but highly conserved, gene smc03872 showed that it protects S. meliloti against the antimicrobial activities of the NCR247 peptide of the host plant Medicago truncatula. Site specific mutations in this gene revealed that SMc03872 is a lipoprotein with peptidase activity that can provide its protective effect as long it is anchored in a membrane (Arnold et al., 2017).

Transposon insertion sequencing in pathogenic bacteria can be used to rapidly identify virulence factors, essential genes and modes of action of bacterial pathogens (Table 1). An in planta Tn-Seq study of S. enterica showed that the colonization of tomatoes uses a distinct set of plant-associated genes which only partly overlap with the genes used for virulence in animals and by other phytopathogens during plant infection (de Moraes et al., 2017). Determining which genes are important for plant host colonization by this bacteria is important as the populations of plant-associated bacteria can act as reservoirs for infection of animal hosts, including humans. Another pathogenic lifestyle is the necrotrophic growth of rot-causing pathogens such as Dickeya dadantii. A Tn-Seq study of this pathogen showed that the biosynthetic pathways for uridine monophosphate, purines, and the amino acids leucine, cysteine and lysine, are essential for survival on chicory plants (Royet et al., 2019). The study also determined that the RsmC and GcpA regulators are important in the infection process and glycosylation of flagellin confers fitness during plant infection. Transposon insertion sequencing studies can also identify potential antimicrobial targets, such as genes that are essential for growth of pathogenic bacteria but are not essential in other bacterial strains.

Transposon insertion sequencing studies have also provided insights into the fundamental physiology of plant pathogenic and plant growth promoting bacteria (Table 1). As part of a larger study, Price et al. (2018a) created saturated mutant libraries of eight plant-associated bacteria and conducted fitness testing using multiple carbon and nitrogen sources as well as up to 55 different stress conditions. This study recorded phenotypes for thousands of genes and proposed specific functions for transporter proteins, catabolic enzymes, and domains of unknown function. Transporter substrates (Helmann et al., 2019b) and abiotic and biotic stress tolerance genes (Calero et al., 2017) can also be investigated using these techniques. A Tn-Seq study in P. putida KT2440 revealed that genes related to membrane stability are important for p-coumaric acid tolerance (Calero et al., 2017). Follow up studies with single gene knockout mutations showed strong involvement of the cytochrome c maturation system (ccm operon) and the ttg2 operon (encodes an ABC transporter) in this tolerance (Calero et al., 2017). Applying these techniques to a broad range of agriculturally relevant bacteria has the potential to inform efforts to cultivate beneficial plant-microbe interactions and reduce the burden associated with agricultural pathogens.

Future Avenues to Explore With Transposon Insertion Sequencing

There are a wide variety of ways that the use of transposon insertion sequencing techniques in bacteria could be expanded beyond these current applications to rapidly increase our understanding of bacterial functions relevant for plant growth promotion and agriculture. Bacterial growth in the rhizosphere is influenced by the soil type and structure, soil organic matter, macronutrient levels and moisture levels (Shelake et al., 2019). These physico-chemical properties of the soil can vary at the centimeter scale so a bacterial inoculum applied to a crop may encounter a wide range of these conditions (Fierer, 2017). Bacteria residing in the phyllosphere (above ground plant surfaces) have to be able to cope with widely fluctuating environmental conditions, including light levels, water availability, temperature and UV radiation (Shelake et al., 2019). Transposon insertion sequencing techniques could be applied to plant-associated bacteria to determine which genes are involved in fundamental processes required for living in these environments and what genetic factors make some bacteria highly successful at colonizing these environments.

Bacterial chemotaxis and motility-related genes are essential for detecting signals produced by plants and moving toward chemical attractants or away from deterrents (Scharf et al., 2016). Flagella play a critical role in attachment to plant surfaces and the initial formation of biofilms; both essential processes for biocontrol bacteria to protect plants against pathogens (Nian et al., 2007; Rudrappa et al., 2008). In an agricultural context, bacterial cells with enhanced motility and the ability to form biofilms are better competitors for resources and have greater colonization efficiency, leading to greater enhancement of plant growth (Barahona et al., 2010; Backer et al., 2018; Pinski et al., 2019). Transposon insertion sequencing has successfully been used to identify 14 non-flagellar genes and intergenic regions involved in enhanced motility of E. coli EC958, showing that genes outside the flagellar and chemotaxis regulons are important for motility (Kakkanat et al., 2017). This approach could be applied to identify genes important for motility in agriculturally relevant bacteria.

Transposon insertion sequencing can even provide new insights into processes that are extremely well studied. For example, despite decades of sporulation research, a recent Tn-Seq study of Bacillus subtilis led to the identification of 24 additional genes involved in sporulation and mutants in which sporulation is delayed or accelerated (Meeske et al., 2016). The genes rhizobial bacteria use to adapt to rhizospheric and root endophytic conditions have been extensively studied, but recent transposon insertion sequencing studies have revealed new insights into the genes important for utilizing carbon compounds exuded by roots and surviving in low oxygen environments inside root nodules (Wheatley et al., 2017).

Most genetic studies of plant-associated bacteria are a snapshot at a particular moment in time and cannot shed light on changing interactions, such as across plant life stages. Executing a succession of transposon insertion sequencing experiments could give insights into the different stages of a plant growth promoting bacteria’s interaction with its host (diCenzo et al., 2019). An in vivo transposon insertion sequencing experiment of host infection over a 2-week time series was conducted using Edwardsiella piscicida, a fish pathogen. This study examined the fitness of mutants over the course of host infection and identified genes that contribute to colonization of the fish host (Yang et al., 2017). When compared with traditional endpoint transposon insertion sequencing studies the time series experiment identified more genes affecting in vivo fitness and yielded new insights into possible targets for vaccine development (Yang et al., 2017). The selective pressures bacteria experience during plant colonization or infection are not constant over time, so using time-series transposon insertion sequencing studies of plant associated bacteria could provide insights into the relative importance of particular genes during these dynamic processes.

When living on plant surfaces plant growth promoting bacteria need to be able to cope with biotic and abiotic stresses, such as plant toxins, anthropogenic pollutants, salinity, acidic or alkaline conditions and temperature. Some of these stresses are commonly experienced in combination, for example, drought and heat stress are often experienced together due to the changing climate. Stress physiologically affects both plants and microbes and can have flow-on effects for plant-microbe interactions (Naik et al., 2019). Transposon insertion sequencing has been successfully used in non-plant-associated organisms to study bacterial responses to stress conditions. A Tn-seq study using high osmolarity, reactive oxygen species and temperature successfully identified individual E. coli genes that confer stress resistance as well as gene combinations that work synergistically to impart improved stress resistance (Lennen and Herrgard, 2014). Transposon insertion sequencing analysis of the pathogen B. burgdorferi uncovered 66 genes not previously known to be involved in resistance to reactive oxygen and nitrogen species (Ramsey et al., 2017). Conducting in vitro or in planta transposon insertion sequencing studies that incorporate rhizospheric or phyllospheric stresses could rapidly advance our understanding of the genes employed by plant growth promoting bacteria in stressful conditions.

To extend our knowledge of how genes interact to create a phenotype of interest, transposon mutant libraries could be created using plant-associated bacteria with a genetic background where a specific gene of interest is inactivated. This would allow interactions with the inactivated gene, redundant genes and the components of regulatory networks to be identified (Barquist et al., 2013; van Opijnen and Camilli, 2013). To determine the interaction profiles of five genes of interest in the human pathogen Streptococcus pneumoniae, independent transposon mutant libraries were constructed using cells with a background knockout of one of the five genes (van Opijnen et al., 2009). This study revealed interactions that exacerbated or improved fitness defects compared to the single mutants and showed that one of the genes of interest is a master regulator of complex carbohydrate metabolism. Using this technique in plant-associated bacteria could reveal previously unknown gene interactions and shed light on gene networks crucial for growth on plant surfaces.

Potential Agricultural Applications

Using transposon insertion sequencing allows us to move beyond traditional methods of molecular genetic analyses where bacterial phenotypes and single mutations are linked and perform en masse identification of genes and pathways involved in plant growth promotion (diCenzo et al., 2019). These high-throughput techniques can rapidly accelerate the rate of gene functional determination and provide rapid insights into the genes and pathways that underlie biotic interactions, metabolism and survival of agriculturally relevant bacteria. This will dramatically increase our knowledge of mechanisms that beneficial bacteria use to promote plant growth and the genes and pathways that plant pathogens rely on when causing disease.

Understanding the growth requirements of plant growth promoting bacteria could assist with developing formulations for maximum efficiency when applied to crops (Kohl et al., 2019). For example, if a beneficial bacteria is known to be able to metabolize a particular compound the bacterial inoculant could be formulated to include that compound to create optimal growth conditions for the beneficial bacteria (Syed Ab Rahman et al., 2018; Rocha et al., 2019). This would increase the likelihood of it being able to effectively compete with the native microbiota, colonize the plant surface and persist over time (Naik et al., 2019). A similar effect could be achieved if plant breeding selected crop genotypes that have the ability to support beneficial bacteria, for example by exuding a specific chemical compound from the roots (Syed Ab Rahman et al., 2018; Compant et al., 2019).

By conducting a series of high-throughput transposon insertion sequencing experiments a large amount of information could be leveraged in the design of a bacterial inoculum that is able to promote plant growth across diverse crop species, a broad range of soils, climatic conditions, and abiotic and biotic stresses (Compant et al., 2019). The development of inoculums consisting of multiple bacterial species that use a range of modes of action for biocontrol would reduce the risk of pathogens being able to evolve resistance to a single biocontrol strain (Backer et al., 2018). By incorporating bacteria with a suite of activities a bacterial consortium could be effective across more stages of the plant lifecycle, resulting in increased plant growth. Studies of bacterial consortia have shown that diverse bacterial inoculants show greater survival, reduced levels of plant disease and increased plant biomass (Hu et al., 2016, 2017). Harnessing rapidly generated information about bacterial gene function from transposon insertion sequencing studies has great potential for creating optimized bacterial consortia for crop inoculation across a range of conditions.

Alternative strategies to leverage the plant growth promoting effects of beneficial bacteria are using secreted bacterial metabolites or selecting desirable plant traits. The compounds that beneficial bacteria secrete can act as biostimulants and agricultural soils could be supplemented with these microbial metabolites to trigger plant responses and stimulate plant growth (Backer et al., 2018). The insights from transposon insertion sequencing could uncover ways to boost production of these bioactive secondary metabolites by plant-associated bacteria (Shelake et al., 2019). The findings from transposon insertion sequencing studies could also assist in the identification of desirable plant traits that support the attraction of beneficial bacteria or promote resistance to pathogen colonization. These traits could be selected in plant breeding programs (Syed Ab Rahman et al., 2018; Compant et al., 2019).

If there is a shift in public opinion about genetic engineering, then information gleaned from transposon insertion sequencing studies could be used to direct alterations of plant-associated microbes for the development of crop protection and crop enhancement products. Utilizing information from transposon insertion sequencing to identify targets for gene editing could lead to faster design and development of control methods for crop diseases (Miesel et al., 2003; Royet et al., 2019). Once high throughput analysis rapidly identifies a target gene or pathway, a pathogen could be genetically engineered to create an attenuated or avirulent isolate for use in biological control (Muñoz et al., 2019). These engineered strains can still colonize plants, compete with their pathogenic kin for space and nutrients, and may even induce plant defenses, but they themselves are no longer infectious (Couteaudier, 1992). For example, in glasshouse and field trials hrpG mutants of the tomato bacterial spot pathogen Xanthomonas campestris pv. vesicatoria 75-3 provided up to 76% reduction in disease severity (Moss et al., 2007). Use of genetic engineering in this way could dramatically shorten the timeframe for the development of crop protection products.

Traditional methods of bacterial gene editing and the alteration of protein production, such as gene knockouts and heterologous expression, are now complemented by new gene editing techniques, such as CRISPR-Cas9. Researchers repurposed this bacterial and archaeal cell defense mechanism as a generic gene editing system when they realized that it could be used to recognize and cut specific DNA sequences (Barrangou and Doudna, 2016). As a gene editing mechanism CRISPR-Cas9 is faster and easier to carry out and less expensive than traditional methods, such as homologous recombination (Shelake et al., 2019). Further into the future, synthetic biology and synthetic genomics hold the promise of designing and building bespoke microorganisms capable of specific plant growth promoting functions. Transposon insertion sequencing will play an important role in identifying the genes and pathways that underpin plant growth promotion and will facilitate the design of such synthetic microbes. The performance of these synthetic beneficial microorganisms can be iteratively improved through the classic synthetic biology “design, build, test, learn” cycle (McArthur et al., 2015; Pouvreau et al., 2018).

Conclusion

We are currently in the midst of a paradigm shift about the role microbes play in our lives. We are transitioning from a simplistic view that microbes are largely disease-causing agents to a more sophisticated understanding of the ubiquitous nature of commensal microbes and the benefits microbes can provide for their hosts. Increasingly society is looking to microbes as a solution for complex problems. Just as research into the human microbiome is revolutionizing medicine and personalized medicine is on the horizon, the future of agriculture may come from rapid advances in our understanding of plant-associated bacterial gene functions and creating tailor made microbial solutions for particular environments, diseases and cropping regimes.

The end goal of these studies is not to have a one-size-fits-all plant growth promoting solution. Conducting transposon insertion studies on plant-associated bacteria will rapidly provide vast amounts of functional information about substantial numbers of agriculturally relevant bacterial genes. As the pressure to use agricultural land most effectively with the least chemical inputs continues to increase, this knowledge will inform agricultural practice so we can increase crop yields and allow us to tackle the challenges of overpopulation and the changing climate.

Author Contributions

BF wrote the manuscript. ST and IP conceptualized the idea for this work and critically revised the manuscript. BF, ST, and IP approved the final version of the manuscript.

Funding

This work was supported by an Australian Research Council Discovery Grant (#DP160103746). ST is the recipient of an Australian Research Council Discovery Early Career Researcher Award (#DE150100009) and BF is the recipient of an Australian Government Research Training Pathway Scholarship.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

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