Literature DB >> 21205186

Survey of genomics approaches to improve bioenergy traits in maize, sorghum and sugarcane.

Wilfred Vermerris1.   

Abstract

Bioenergy crops currently provide the only source of alternative energy with the potential to reduce the use of fossil transportation fuels in a way that is compatible with existing engine technology, including in developing countries. Even though bioenergy research is currently receiving considerable attention, many of the concepts are not new, but rather build on intense research efforts from 30 years ago. A major difference with that era is the availability of genomics tools that have the potential to accelerate crop improvement significantly. This review is focused on maize, sorghum and sugarcane as representatives of bioenergy grasses that produce sugar and/or lignocellulosic biomass. Examples of how genetic mapping, forward and reverse genetics, high-throughput expression profiling and comparative genomics can be used to unravel and improve bioenergy traits will be presented.
© 2011 Institute of Botany, Chinese Academy of Sciences.

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Year:  2011        PMID: 21205186     DOI: 10.1111/j.1744-7909.2010.01020.x

Source DB:  PubMed          Journal:  J Integr Plant Biol        ISSN: 1672-9072            Impact factor:   7.061


  22 in total

1.  Transposon insertion in a cinnamyl alcohol dehydrogenase gene is responsible for a brown midrib1 mutation in maize.

Authors:  Wei Chen; Nathan VanOpdorp; Dennis Fitzl; Jagdish Tewari; Peter Friedemann; Tom Greene; Steve Thompson; Siva Kumpatla; Peizhong Zheng
Journal:  Plant Mol Biol       Date:  2012-07-31       Impact factor: 4.076

2.  Genomic resources for gene discovery, functional genome annotation, and evolutionary studies of maize and its close relatives.

Authors:  Chao Wang; Xue Shi; Lin Liu; Haiyan Li; Jetty S S Ammiraju; David A Kudrna; Wentao Xiong; Hao Wang; Zhaozhao Dai; Yonglian Zheng; Jinsheng Lai; Weiwei Jin; Joachim Messing; Jeffrey L Bennetzen; Rod A Wing; Meizhong Luo
Journal:  Genetics       Date:  2013-09-13       Impact factor: 4.562

3.  Genetic structure, linkage disequilibrium and signature of selection in Sorghum: lessons from physically anchored DArT markers.

Authors:  Sophie Bouchet; David Pot; Monique Deu; Jean-François Rami; Claire Billot; Xavier Perrier; Ronan Rivallan; Laëtitia Gardes; Ling Xia; Peter Wenzl; Andrzej Kilian; Jean-Christophe Glaszmann
Journal:  PLoS One       Date:  2012-03-13       Impact factor: 3.240

4.  Genome-wide patterns of genetic variation in sweet and grain sorghum (Sorghum bicolor).

Authors:  Lei-Ying Zheng; Xiao-Sen Guo; Bing He; Lian-Jun Sun; Yao Peng; Shan-Shan Dong; Teng-Fei Liu; Shuye Jiang; Srinivasan Ramachandran; Chun-Ming Liu; Hai-Chun Jing
Journal:  Genome Biol       Date:  2011-11-21       Impact factor: 13.583

5.  Cell-wall properties contributing to improved deconstruction by alkaline pre-treatment and enzymatic hydrolysis in diverse maize (Zea mays L.) lines.

Authors:  Muyang Li; Marlies Heckwolf; Jacob D Crowe; Daniel L Williams; Timothy D Magee; Shawn M Kaeppler; Natalia de Leon; David B Hodge
Journal:  J Exp Bot       Date:  2015-02-20       Impact factor: 6.992

6.  Biomass for thermochemical conversion: targets and challenges.

Authors:  Paul Tanger; John L Field; Courtney E Jahn; Morgan W Defoort; Jan E Leach
Journal:  Front Plant Sci       Date:  2013-07-01       Impact factor: 5.753

7.  Sucrose accumulation in sweet sorghum stems occurs by apoplasmic phloem unloading and does not involve differential Sucrose transporter expression.

Authors:  Saadia Bihmidine; R Frank Baker; Cassandra Hoffner; David M Braun
Journal:  BMC Plant Biol       Date:  2015-07-30       Impact factor: 4.215

8.  Large-Scale Transcriptome Analysis of Two Sugarcane Genotypes Contrasting for Lignin Content.

Authors:  Renato Vicentini; Alexandra Bottcher; Michael Dos Santos Brito; Adriana Brombini Dos Santos; Silvana Creste; Marcos Guimarães de Andrade Landell; Igor Cesarino; Paulo Mazzafera
Journal:  PLoS One       Date:  2015-08-04       Impact factor: 3.240

9.  Evaluation of Sorghum [Sorghum bicolor (L.)] Reference Genes in Various Tissues and under Abiotic Stress Conditions for Quantitative Real-Time PCR Data Normalization.

Authors:  Palakolanu Sudhakar Reddy; Dumbala Srinivas Reddy; Kaliamoorthy Sivasakthi; Pooja Bhatnagar-Mathur; Vincent Vadez; Kiran K Sharma
Journal:  Front Plant Sci       Date:  2016-04-25       Impact factor: 5.753

10.  SorGSD: a sorghum genome SNP database.

Authors:  Hong Luo; Wenming Zhao; Yanqing Wang; Yan Xia; Xiaoyuan Wu; Limin Zhang; Bixia Tang; Junwei Zhu; Lu Fang; Zhenglin Du; Wubishet A Bekele; Shuaishuai Tai; David R Jordan; Ian D Godwin; Rod J Snowdon; Emma S Mace; Hai-Chun Jing; Jingchu Luo
Journal:  Biotechnol Biofuels       Date:  2016-01-07       Impact factor: 6.040

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