Title |
Bioenergy grass feedstock: current options and prospects for trait improvement using emerging genetic, genomic, and systems biology toolkits
|
---|---|
Published in |
Biotechnology for Biofuels and Bioproducts, November 2012
|
DOI | 10.1186/1754-6834-5-80 |
Pubmed ID | |
Authors |
Frank Alex Feltus, Joshua P Vandenbrink |
Abstract |
For lignocellulosic bioenergy to become a viable alternative to traditional energy production methods, rapid increases in conversion efficiency and biomass yield must be achieved. Increased productivity in bioenergy production can be achieved through concomitant gains in processing efficiency as well as genetic improvement of feedstock that have the potential for bioenergy production at an industrial scale. The purpose of this review is to explore the genetic and genomic resource landscape for the improvement of a specific bioenergy feedstock group, the C4 bioenergy grasses. First, bioenergy grass feedstock traits relevant to biochemical conversion are examined. Then we outline genetic resources available bioenergy grasses for mapping bioenergy traits to DNA markers and genes. This is followed by a discussion of genomic tools and how they can be applied to understanding bioenergy grass feedstock trait genetic mechanisms leading to further improvement opportunities. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
United States | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
United Kingdom | 2 | 2% |
Germany | 1 | <1% |
Indonesia | 1 | <1% |
Thailand | 1 | <1% |
Belgium | 1 | <1% |
Unknown | 94 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 28 | 27% |
Researcher | 20 | 20% |
Student > Master | 11 | 11% |
Professor > Associate Professor | 7 | 7% |
Student > Doctoral Student | 6 | 6% |
Other | 11 | 11% |
Unknown | 19 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 53 | 52% |
Biochemistry, Genetics and Molecular Biology | 10 | 10% |
Engineering | 6 | 6% |
Environmental Science | 3 | 3% |
Chemistry | 3 | 3% |
Other | 5 | 5% |
Unknown | 22 | 22% |