Background

“The year 2013 saw an acceleration in the growth of global energy consumption, despite a stagnant global economy. Economic growth remained weak nearly everywhere and relative to recent history it was weaker in the emerging non-OECD economies. In line with that economic pattern, energy consumption growth was below average in the non-OECD, driven by China, and above average in the mature economies of the OECD, driven by the US. Emerging economies nonetheless continue to dominate global energy demand, accounting for 80% of growth last year and nearly 100% of growth over the past decade.

 While consumption growth accelerated globally, it has remained below average – this is again, consistent with the weak global economic picture. Regionally, energy consumption growth was below average everywhere except North America. EU consumption continued to decline, hitting the lowest level since 1995 (despite economic growth of 35% over this period). ”

China’s Hong Kong skyline. China was the world’s largest producer and consumer of energy overall in 2013.

China’s Hong Kong skyline. China was the world’s largest producer and consumer of energy overall in 2013.

♦More than 100 years

♦less than 0.05%

Total world proved oil reserves reached 1687.9 billion barrels at the end of 2013, sufficient to meet 53.3 years of global production, just 53.3 years.

Obviously, Middle East has the most.

Do a simple subtraction. The production of the oil can’t meet the demands of Asia Pacific and North America’s daily use.

This figure is more visualized.

Crude oil prices keep increasing in the decades. With the gas we released and the result of many other human activities, the world temperature has changed a lot in these years.

Monthly (thin lines) and 12-month running mean (thick lines or filled colors in case of Nino 3.4 Index) global land-ocean temperature anomaly, global land and sea surface temperature, and El Nino index. All have a base period 1951-1980.(from GISS Surface Temperature Analysis)

To meet continuing demand in the face of dwindling petroleum supplies while also curbing the release of greenhouse gases, we have two ways. Emissions cap-and-trade Renewable sources Renewable sources: Solar, wind, and biomass lead growth in renewable generation, hydropower remains flat.

In the AEO 2013 Reference case, renewable generation increases from 524 billion kilowatt-hours in 2011 to 858 billion kilowatt-hours in 2040, growing by an average of 1.7 percent per year(Figure 83). Wind, solar, and biomass account for most of the growth. The increase in wind-powered generation from 2011 to2040, at 134 billion kilowatt-hours, or 2.6 percent per year, represents the largest absolute increase in renewable generation. Generation from solar energy grows by 92 billion kilowatt-hours over the same period, representing the highest annual average growth at 9.8 percent per year. Biomass increases by 95 billion kilowatt-hours over the projection period, for an average annual-increase of 4.5 percent.(from Annual Energy Outlook 2013)

What we focus on is biomass!

Biomass is biological material derived from living, or recently living organisms. It most often refers to plants or plant-based materials which are specifically called lignocellulosic biomass. As an energy source, biomass can either be used directly via combustion to produce heat, or indirectly after converting it to various forms of biofuel. Conversion of biomass to biofuel can be achieved by different methods which are broadly classified into: thermal, chemical, and biochemical methods.(from Wikipedia)

Lipid accumulating or alkane secreting algae:

Being cultivated in photobioreactors or in large open seawater ponds on non-arable land.

Utilizing CO2 directly via photosynthesis.

Cellulosic or lignocellulosic biofuels：

The utilization of plant structural polymer. It has two routes.

Route1: Obtain some versatile intermediate such as 5- hydroxymethylfurfural and γ-valerolactone by a variety of chemical and biological process technologies

Route2: Following various pre-processing and pre-treatment steps, it utilizes enzyme cocktails to hydrolyze cellulose and hemicellulose polymers into sugar monomers or oligomers serving as feedstocks for any variety of microbial fermentation processes. Native metabolism or metabolic engineering of biochemical pathways enables the production of desired chemicals and fuels, for example, biomass-derived gasoline alternatives.

Medium- and long-chain hydrocarbons can potentially serve as replacements for diesel, rendering them an attractive target for microbial production from lignocellulosic feedstocks. Unlike ethanol, the low water solubility of longer carbon chain-length hydrocarbons should result in reduced recovery costs and reduced toxicity in the fermentation broth due to phase separation. These hydrocarbons are also more likely to be compatible with existing transport and storage infrastructure and vehicle engines, and possess higher cloud points than biodiesel blends, enabling year-round usage in all climates. 

Two major biochemical pathways exist for production:

The first pathway is the isoprenoid biosynthesis, where precursor molecules from central metabolism are used to generate isopentenyl diphoshate and its isomerized product, dimethylallyl diphosphate.

The second pathway is fatty acid biosynthesis, for which acetyl-CoA (or rarely propionyl-CoA) serves as the precursor and for which long-chain. A number of natural products can also be generated through this pathway including free fatty acids (FFAs), phospholipids and di- and triacylglycerols, alkanes and olefins, fatty alcohols, methyl ketones, and esters of fatty acids.

We chose E.coli as the host organism to develop a microbial conversion process of a target compound. Metabolic engineering offers the opportunity to genetically modify E.coli to optimize production of the naturally produced compound via single gene or entire pathway manipulation. Why we chose E.coli?

Because we have well-developed genetic engineering and synthetic biology tools; understanding of their metabolism, physiology, and gene regulation; and rapid and well-developed protocols for transformation and recombination, addition to its diversity of carbon utilization( eg. ability to readily metabolize pentose sugars) and rapid growth rate.

Reference:

1. EIA U S. Annual energy outlook 2013[J]. US Energy Information Administration, Washington, DC, 2013.

2. Lennen R M. Engineering Fatty Acid Overproduction in Escherichia coli for Next-Generation Biofuels[D]. UNIVERSITY OF WISCONSIN-MADISON, 2012. ( http://depot.library.wisc.edu/repository/fedora/1711.dl:TILJIP5I5DABR82/datastreams/REF/content)

3. (http://www.bp.com/content/dam/bp/pdf/Energy-economics/statistical-review-2014/BP-statistical-review-of-world-energy-2014-full-report.pdf)

4. National Aeronautics and Space Administration Goddard Institute for Space Studies (NASA GISS) (http://data.giss.nasa.gov/gistemp/)

5. Global Greenhouse Gas Reference Network (http://www.esrl.noaa.gov/gmd/ccgg/)

6. 李玲玲. 工程大肠杆菌制备 C16, C18 高级脂肪醇的研究[D]. 四川农业大学, 2012. ( http://cdmd.cnki.com.cn/Article/CDMD-10626-1013157200.htm)

7. Zheng Y N, Li L L, Liu Q, et al. Optimization of fatty alcohol biosynthesis pathway for selectively enhanced production of C12/14 and C16/18 fatty alcohols in engineered Escherichia coli[J]. Microb Cell Fact, 2012, 11(11). ( http://www.biomedcentral.com/content/pdf/1475-2859-11-65.pdf)

8. Lennen R M, Pfleger B F. Engineering Escherichia coli to synthesize free fatty acids[J]. Trends in biotechnology, 2012, 30(12): 659-667. ( http://www.nature.com/nature/journal/v463/n7280/abs/nature08721.html)

9. 孟鑫, 程涛, 李良智, 等. 工程大肠杆菌脂肪酸胞外分泌调控研究进展[J]. 2011. (http://cpfd.cnki.com.cn/Article/CPFDTOTAL-ZGNG201012001066.html)

10. 程涛, 杨建明, 刘辉, 等. 拟南芥硫酯酶基因 (atfata) 在大肠杆菌中的表达及其对游离脂肪酸合成的影响[J]. 应用与环境生物学报, 2011, 17(4): 568-571. ( http://www.cibj.com/Upload/PaperUpLoad/7f9986f0-5cf1-4b35-a353-1179e626f062.pdf)

11. 张羽航, 鲍时翔, 王延平, 等. 脂肪酸脱饱和的应用进展[J]. 生物工程进展, 2001, 21(2): 46-49.( http://d.wanfangdata.com.cn/Periodical_swgcjz200102011.aspx)