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Anaerobes in Biotechnology

Overview of attention for book
Attention for Chapter 5007: Comparative Genomics of Core Metabolism Genes of Cellulolytic and Non-cellulolytic Clostridium Species. - PubMed - NCBI
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Chapter title
Comparative Genomics of Core Metabolism Genes of Cellulolytic and Non-cellulolytic Clostridium Species. - PubMed - NCBI
Chapter number 5007
Book title
Anaerobes in Biotechnology
Published in
Advances in biochemical engineering biotechnology, February 2016
DOI 10.1007/10_2015_5007
Pubmed ID
Book ISBNs
978-3-31-945649-2, 978-3-31-945651-5
Authors

Lal, Sadhana, Levin, David B, Sadhana Lal, David B. Levin, Levin, David B.

Abstract

Microbial production of fuels such as ethanol, butanol, hydrogen (H2), and methane (CH4) from waste biomass has the potential to provide sustainable energy systems that can displace fossil fuel consumption. Screening for microbial diversity and genome sequencing of a wide-range of microorganisms can identify organisms with natural abilities to synthesize these alternative fuels and/or other biotechnological applications. Clostridium species are the most widely studied strict anaerobes capable of fermentative synthesis of ethanol, butanol, or hydrogen directly from waste biomass. Clostridium termitidis CT1112 is a mesophilic, cellulolytic species capable of direct cellulose fermentation to ethanol and organic acids, with concomitant synthesis of H2 and CO2. On the basis of 16S ribosomal RNA (rRNA) and chaperonin 60 (cpn60) gene sequence data, phylogenetic analyses revealed a close relationship between C. termitidis and C. cellobioparum. Comparative bioinformatic analyses of the C. termitidis genome with 18 cellulolytic and 10 non-cellulolytic Clostridium species confirmed this relationship, and further revealed that the majority of core metabolic pathway genes in C. termitidis and C. cellobioparum share more than 90% amino acid sequence identity. The gene loci and corresponding amino acid sequences of the encoded enzymes for each pathway were correlated by percentage identity, higher score (better alignment), and lowest e-value (most significant "hit"). In addition, the function of each enzyme was proposed by conserved domain analysis. In this chapter we discuss the comparative analysis of metabolic pathways involved in synthesis of various useful products by cellulolytic and non-cellulolytic biofuel and solvent producing Clostridium species. This study has generated valuable information concerning the core metabolism genes and pathways of C. termitidis CT1112, which is helpful in developing metabolic engineering strategies to enhance its natural capacity for better industrial applications.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 18%
Researcher 3 18%
Lecturer 2 12%
Student > Bachelor 2 12%
Student > Ph. D. Student 1 6%
Other 3 18%
Unknown 3 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 35%
Biochemistry, Genetics and Molecular Biology 3 18%
Environmental Science 3 18%
Unknown 5 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 February 2016.
All research outputs
#15,362,070
of 22,852,911 outputs
Outputs from Advances in biochemical engineering biotechnology
#113
of 224 outputs
Outputs of similar age
#177,011
of 298,866 outputs
Outputs of similar age from Advances in biochemical engineering biotechnology
#6
of 8 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 224 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 298,866 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.