10.18273/ revsal.v49n1-2017009

Topic review

The potential of synthetic biology for improving environmental quality and human health in developing countries

Biología Sintética: un nuevo potencial para mejorar la calidad ambiental y la salud humana en países en desarrollo

 

Miguel Fernández-Niño1

Zia-ul Islam2

 

  1. Jacobs University Bremen gGmbH, Bremen, Germany.
  2. Abdul Wali Khan University, Mardan, Khyber Pakhtunkhwa, Pakistan.

 

Correspondence: Miguel Fernandez Niño. Address: Jacobs University Bremen gGmbH, Campus Ring 1 | 28759 Bremen, Germany. Email:m.fernandeznino@jacobs-university.de. Phone number: +49 4212003565

 

ABSTRACT

Environmental quality is a major factor in global health that mainly affects the poorest populations. Vector- borne diseases, climate change, pollution and unintentional poisonings are recognized as the primary causes of environmental diseases burden in developing countries. The development and implementation of new technologies to reduce the impact of these risk factors on health in developing countries is a priority in the current research. In this regard, synthetic biology, a nearly new research area, has initiated a big revolution through the de novo design or rewiring of biological components, organisms, and functions with the aim to reduce the adverse effects of environmental risk factors on human health. Despite synthetic biology is well recognized for being a multidisciplinary area where biotechnologist, biologist, physicists, mathematicians and engineers play together, its integration with public health and other social sciences seems to be of relevance to apply these technologies into a practical context. In this review, we discuss the major advances in synthetic biology with potential to improve environmental quality and human health in developing countries.

Keywords: Public health. Synthetic biology. Developing countries. Environmental diseases.

 

RESUMEN

La calidad ambiental es reconocida como uno de los factores con mayor impacto sobre la salud humana principalmente en los países en vías de desarrollo. Las enfermedades transmitidas por vectores, el cambio climático, la contaminación y las intoxicaciones no intencionales han sido reportados como las principales causas de enfermedades ambientales en estos países. El desarrollo y la implementación de nuevas tecnologías encaminadas a reducir el impacto de estos factores ambientales en la salud es una prioridad de la investigación actual. En ese sentido, la biología sintética ha iniciado una gran revolución al permitir el diseño de novo y el mejoramiento de diversos componentes biológicos, organismos y funciones biológicas que tienen el potencial de reducir los efectos adversos de estos factores en la salud humana de una manera más eficiente y económica. A pesar de que la biología sintética es reconocida como un área multidisciplinaria donde biotecnólogos, biólogos, físicos, matemáticos e ingenieros unen sus esfuerzos, su integración con el área de la salud pública y las ciencias sociales es muy importante para llevar estas tecnologías a la práctica. En esta revisión, nosotros discutimos los más importantes avances en biología sintética y su potencial para mejorar la calidad ambiental y la salud humana en países en vías de desarrollo.

Keywords: Salud pública. Biología Sintética. Países en vías de desarrollo. Enfermedades ambientales.

 

Received: 10/01/2017

Approved: 16/01/2017

Publicado online: 2/02/2017

 

 

INTRODUCTION

 

 

Almost 20 years ago, the role of the environmental quality as a determinant of human ill health was well- described by Kirk Smith and co-workers(1). In their work summarized in the WHO 1997 report “Health and Environment in Sustainable Development,” the authors attempted to establish a set of standard definitions and categories that were used over the last two decades to study how much the environmental factors are contributing to ill health. A formal definition of the terms “environment,” “ill health” and “attributable” as well a defined number of diseases categories and environmental risk factors were provided and implemented to estimate the effect of several environment risk factor on the global ill health. The authors suggested that one-quarter to one-third of ill health in the world at that time was attributable to environmental factors(1). Nevertheless, they also recognized that further collection of high- quality global data related to the environmental health impact was needed to dissect this estimation properly.

During the past two decades, several studies were subsequently performed with  the  aim  to  increase the amount and quality of these data. Most of them implemented new  tools  for  epidemiologic  analysis, which resulted in more accurate methods for estimating the impact of the environmental factors on heath. A summary of these studies was published in 2008 by Prüss-Üstün   and   co-workers(2).   Authors   performed country-wise(2). A total of 192 countries profiles were studied  and  data  confirmed the  previous  hypothesis that environmental quality is a major factor in health that mainly affects the poorest populations(1). People in developing countries have a higher risk due to the poor environmental quality(2).

Nowadays, the United Nations Environment Programme (UNEP) and the World Health Organization (WHO) have established an initiative to facilitate and enhance effective actions in developing countries that can reduce the adverse environmental impact on human health. This initiative called “The Health, and Environment Linkages” (HELI) has provided support to several developing countries focused on the major areas of risk defined in Table 1.

The development and implementation of new technologies to reduce the impact of these risk factors on health in developing countries is a priority in the current research (Table 1). In this regard, Synthetic Biology, a nearly new research area, has given a big step through the design of biological systems with the potential to reduce the adverse effects of environmental risk factors on human health. This nascent discipline has been extensively described and refers to a variety of experimental approaches (the product of interactive cycles   of   computer   modeling,   biology   assembly, and testing) aimed to modify or mimic biological systems(15)-(20). In this review, we describe the major advances in synthetic biology with a highly potential to improve environmental quality and human health in developing countries.

 


Table 1. Priority causes of environmental diseases burden in developing countries


 

Synthetic Biology and human health

 

 

According  to  König  et  al.,  synthetic  biology  can be defined as a rational approach to design new biological   components,   organisms,   and   functions that do not exist in nature or to redesign existing biological systems to satisfy human needs(21). One of the most remarkable examples of the potential of synthetic biology in human health is the development of the semi-synthetic antimalarial drug artemisinin. Artemisinin, a sesquiterpene lactone endoperoxide extracted from the sweet wormwood plant (Artemisia annua) whose discovery was awarded the 2015 Nobel Prize is known to be very efficient against multidrug- resistant Plasmodium spp(22)This compound has been traditionally obtained from 8 months A. annua plants using well-described extraction methods(23). For years, China and Vietnam lead the global production of this plant and more farmers around the world started to plant it due to its role in malaria treatment. However, its production was not enough to meet the demand, which made this drug unaffordable to most malaria sufferers as reported by Martin Enserink in 2005(24). Just one year after Enserink`s report, scientists from the University of California (Berkeley) published their 2006 Nature paper entitled “Production of the antimalarial drug precursor artemisinic acid in engineered yeast.” Authors successfully engineered Saccharomyces cerevisiae to produce high titers of artemisinic acid (the immediate artemisinin precursor) in a cost-effective, eco-friendly and high-quality way(25). First, the authors engineered the farnesyl pyrophosphate (FPP) biosynthetic pathway in order to increase the production of FPP and decrease its use for sterols by upregulating the expression of several genes in the FPP synthesis and downregulated those genes involved in FPP conversion to sterols. Then, they introduced and expressed the amorphadiene synthase gene (ADS) from the plant A. annua in S. cerevisiae to convert the FPP to amorphadiene. Finally, they cloned and expressed a novel cytochrome P450 from A. annua in S. cerevisiae that performs a three-step oxidation of amorphadiene to artemisinic acid(25). Authors were able to engineered S. cerevisiae and subsequently produce artemisinic acid in a process with a higher specific productivity as compared to A. annua-based process using several synthetic biology approaches.

Only two years ago, in 2014, the production of artemisinic acid at industrial scale became real when a consortium within a synthetic biology company (Amyris,   University   of   California,   Berkeley)   and the  pharmaceutical  firm Sanofi started  to  sell  semi- synthetic artemisinin made in genetically engineered yeast. They described this achievement as “a crucial breakthrough   in   anti-malaria   efforts,   particularly in terms of affordability and access for the poor.” However, after two years in the market, the impact of the first commercial deployment of synthetic biology is very low, and there is still a long way to produce enough semi-synthetic artemisinin to replace the agriculturally produced(26).

Similar studies have been conducted to engineer Escherichia coli for artemisinic acid production(27), to express synthetic human neutralizing antibodies against various dengue virus(28), to construct a synthetic circuit for the enzyme inositol phosphoryl ceramide synthase in Leishmania(29) and to genetically-engineer Aedes aegypti mosquitoes to control the transmission of dengue(30). All these examples show how synthetic biology approaches (based on cost-effective and eco-friendly technologies) can be used to improve the treatment of the major vector- borne diseases in developing countries. Nevertheless, as it was shown in the case of the artemisinin, an effective implementation of such technologies is a long and complex process, too long, that semi-synthetic artemisinin commercialization was concomitant with the observation of widespread artemisinin resistance across Southeast Asia(31). In general, the complete process  involves  several  phases  of  modeling  and design, genetic and metabolic engineering, functional analysis, downstream processing, industrial application and marketing.

Despite Synthetic biology is well recognized for being a multidisciplinary area where biotechnologist, biologist, physicists, mathematicians and engineers play together, its integration with public health and other social sciences seems to be of relevance to rush the implementation of these technologies into a practical context.

 

 

Synthetic biosensors and environmental quality

 

 

Microbial bioindicators have been traditionally used for decades in order to estimate the altered environmental conditions and identify and quantify the effect of different pollutants in the environment(32)-(33). Microorganisms have been mainly selected as bioindicators because they can be found in large quantities, which makes easier its detection and sampling. In addition, they contain a high number of quantifiable phenotypes induced by a large number of environmental alterations. There are several examples of bioindicators used to determine the quality of soil(33), water(32)  and air(34).

Several advances in genetic and metabolic engineering during  last  two  decades  shifted  the  traditional  use of microbial bio-indicators to engineered microbial biosensors  able  to  recognize  a  particular  analyte and  transduce  it  into  a  detectable  response(35)-(38).  For many years, a large number of biosensors have been constructed and implemented in various applications, ranging from public health, microbial ecology to environmental monitoring and food safety(35). Microbial biosensors  can  be  classified  according  to  the  type of  signal  that  is  detected  after  the  interaction  with the analyte including electrochemical(39), thermal(40), acoustic(41)  and optical biosensors(42).

Optical biosensors are the most commercially successful by far, and they are mainly based on the natural occurrence of bioluminescence observed in bacteria such as Vibrio fisheri(43). Bioluminescence in the luminous marine bacteria Vibrio fisheri was described over 33 years ago as a phenome produced by Quorum Sensing (QS)(44). According to Miller and Bassler QS can be defined as the regulation of gene expression in response to fluctuation in cell population density(45).Nowadays, a large number of studies have reported many phenotypes under control of Quorum Sensing including not only bioluminescence production but modulation of virulence factors(46), symbiosis establishment(47), genetic competence(48), antibiotic production(49), motility(50), sporulation(48)   and biofilm formation(51). QS Biosensors represent an alternative way of identification of several QS systems, which have profound implications in the healthcare and industry field.

Bioluminescent whole cell biosensors have also been developed using synthetic biology approaches since they are conceptually simple devices with a real-world application(43). In addition, the increasing amount of input/output modalities available in the MIT Registry of Standard Biological Parts and a large number of models presented at the iGEM (the International Genetically Engineered Machine competition) allow a fairly quickly engineering process. The principles, devices, modules and methods employed to construct bioluminescent biosensors established the basis for designing novel biosensors for monitoring water, soil, and air quality.

In developing countries, poor water quality and unintentional poisonings are two leading causes of environmental diseases with a total of ~3.5 million and ~600 000 deaths globally per year, respectively (Table1). Several synthetic biosensors have designed to monitor the quality of water in an expensive, faster and the environmental-friendly way(52). In general synthetic biosensors are composed by a reporter gene (fluorescent, luminescent or electrochemical), which is placed under the control of a promoter that is activated in the presence of a specific water contaminant(53). Several biosensors that respond to arsenic(54), cadmium(55), mercury(56), nitrogen(57), ammonium(58), nitrate(59), phosphorus(60)  and heavy metals have  been  reported(53).  These  biosensors  can  detect water contaminants with sensitivities comparable to the conventional chemical/optical methods(53).

One of the contaminants that to date is still circulating in groundwater causing more than 230 000 deaths globally per year is lead (Table 1). Poisoning by this heavy metal remains the world`s most common environmentally caused disease(61). Remarkably, scientists of the National Taiwan University and the University of California have developed a highly selective fluorescent biosensor for detecting lead in living cells(61)-(62). Authors have synthesized  a  Leadfluor-1 (LF1)  turn-on  sensor  for selective detection of Pb2+ in water and living cells. Nevertheless, the authors conclude that more research is needed to standardize this method and subsequently implement it over the world.

In general, most of the current biosensors have been engineered in standard laboratory E. coli strains, which lack many of their physiological characteristics once they are placed in real environments. Consequently, most of the current research has shifted to the design of synthetic biosensors using native microorganism that inhabits the environment of interest(53).

 

 

Synthetic Biology against climate change

 

 

The increase in world’s population, as well as the global progressive trend in the development of industries, depends on energy in various forms. One important type of energy is the petroleum reserves. On the one hand, if these reserves are definite and in control of politically unstable countries, on the other hand, the use of this petro-based energy posed a serious threat to the climate in the form of global warming. In developing countries, this problem is more severe since there is a scarcity of resources to handle its hazardous waste streams. In this regard, the synthetic biology can provide a solution and has already provided an alternative to fossil fuels in the shape of biofuels such as bioethanol.

Bioethanol produced by natural S. cerevisiae strains from starch and sugar is the currently largest product in industrial biotechnology regarding market volume(63). However, starch and sugar-containing plant biomass for  example  corn,  cassava,  sugar  beet  and  sugar cane are usually employed as food or fodder(64),(65). As a consequence,  the  growing  demand  of  industrial biotechnology for carbon sources is feared to result in food shortage.  Food  security  strongly  requires  a switch in industrial biotechnology towards renewable non-food carbon sources. In this regard, using non- edible  lignocellulosic  plant  biomass  is  a  possible route. Notably, the use of lignocellulose has also advantages compared to starch in terms of reduction of greenhouse gas emissions as shown by several studies  in  the  field of  bioethanol(66),(67).  However,  the utilization of lignocellulosic biomass generates several challenges at different levels. They mainly result from the complex nature of this feedstock and include (i) the requirement of harsh pretreatment methods(68), (ii) complex and efficient enzyme mixtures for cellulose and hemicellulose hydrolysis produced in a cost- efficient way(69),(70) plus (iii) microorganisms able to efficiently ferment complex sugar mixtures (including pentose sugars) in the presence of toxic inhibitors in lignocellulosic hydrolysates.

An ideal fermentation organism for industrial implementation in lignocellulose-derived ethanol production is expected to be able to produce cellulases and hemicellulases for the hydrolysis of hemicellulose and cellulose to consolidate hydrolysis and fermentation steps(71).   Although   there   have   been   many   reports showing the expression of heterologous cellulolytic enzymes (e.g. endoglucanases and beta-glucosidases) in S. cerevisiae using synthetic biology approaches, the efficiency of cellulose and hemicellulose degradation by this way has not been sufficiently developed(72)-(74).

A major challenge for lignocellulose-derived ethanol production  results  from  the  fact  that  the  hydrolysis of  lignocellulosic  biomass  into  fermentable  sugars is accompanied by the release of compounds that are inhibitory to microorganisms(75). These compounds mainly  result  from  degradation  of  hemicelluloses during pre-treatment and enzymatic hydrolysis. Different studies have been conducted for both reducing microbial inhibitors in the lignocellulosic hydrolysates(76) and improving tolerance thought genetic and metabolic engineering.

One of the well-documented advantages of synthetic biology is its potential to valorize the waste stream from biofuels production. For instance, although the CO2  formed as a result of bioethanol formation, can be in principle taken up by plants via photosynthesis, but recently Schwander and coworkers (2016) developed a synthetic metabolic pathway that is even 20% more efficient than photosynthesis to fix the CO2 . atmosphere. This  technology  will  be  very  useful  in developing countries and especially in those areas where the plants cannot grow due to the shortage of water or other factors. Another example is the biodiesel production via transesterification that generates 10 % (w/w) glycerol(77).  Glycerol can be used as a carbon source for growing different kind of engineered microorganisms to produce biochemical and proteins. One such example is the production of 1,3-propanediol from glycerol, which is used in cosmetics, polymers, lubricants, foods, and medicines(78).

Another problem that is related to the use of fossil fuels is the release of harmful gasses in the air due to its combustion in engines. Acquiring expensive equipment and their maintenance to detect the levels of these harmful gasses in developing countries would not be feasible due to high cost. Very recently, a simplified biosensor was developed by an iGEM team (iGEM, 2016.  inspector  NO.CO.Li,  Pakistan)  that  detects the levels of nitrogen oxide and carbon monoxide concentrations in the air. Various efforts in biotech sector have been dedicated to develop heat, cold, drought, and salinity-tolerant crops. These crops are anticipated to cope with the aftermath of climate change that results from global warming.

 

 

Last generation methods for engineering biological systems

 

 

The term synthetic biology dates back to  1910(79). The first report that is regarded as a landmark in this regard was  originated  around  1961(80).  Later,  the  so-called pre-genomic era started between the 1970s and 1980s that mainly include the techniques such as molecular cloning and PCR. After this era, the synthetic biology field progressed with a faster pace. Especially, during the last decade i.e. since the mid of the 1990s, many techniques have been developed. For instance, RNAi- mediated gene knockdown, integration via homologous recombination, Zinc finger technology, transcription- activator-like effector nucleases (TALENs) and homing meganucleases. However, most of these methods have either low efficiency or results in off-target toxicity. Besides they are costly and time-consuming to engineer thus limiting their widespread use, particularly its application in developing countries where the resources are already very limited. Very recently, a new genome editing  system  called  CRISPR-Cas9  was  introduced and its potentiality to edit the genomes of human cells has been already reported(81). This system has thrilled the synthetic biology community, and since then it has been

2

 

 used for genetic engineering of a variety of organisms. The reasons for its popularity are its accuracy and also the fact that it is cheaper and faster than the previous genome editing system. It is anticipated and currently seems like it will revolutionize the synthetic biology paradigm. The use of CRISPR-Cas9 might need laws and regulations in future to make the properly controlled use of this technology. These guidelines are regularly under development in developed countries. However, the formulations of new laws do not always guarantee the proper receiving of genetically modified organism- based products as the inhabitant of different parts of the world react differently to the modern biotechnology(82). The use CRISPR-Cas9 for genome editing of plants and microorganisms is already in practice, and biotech companies around the world are quickly adopting it. The application of genome editing methods is crucial in solving the human health problems. In the health area, many unresolved health issues still exist in humans such as AIDS, hepatitis and different kinds of cancers. The transferable disease such is AIDS is creating much chaos in developing nations such is in Africa, where the awareness of the public and resources to handle its epidemic are less. Very recently, the first CRISPR- Cas9 based clinical trial was attempted in China for curing the lung cancer of a patient(83). These developing countries  also  face  the  food  shortage  problem;  that can also be addressed by application of these latest synthetic biology methods that can create robust crops as discussed above. In short, it will take time to reach the  benefits or  the  customized  CRISPR-Cas9  based genome editing methods to developing countries. Before its use in a routine way in these countries, laws and regulations needed to be developed, implemented and strictly observed.

 

 

COMPETING INTERESTS

The authors declare no competing financial interest.

 

 

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Suggested citation: Fernández-Niño M, Islam Z. The potential of synthetic biology for improving environmental quality and human health in developing countries. Rev Univ Ind Santander Salud. 2017; 49(1): 93-101.