The Applied Genetics of Humans, Animals, Plants and Fungi by Bernard C. Lamb Hardcover - 500 pages Shipped in CLICK HERE Cat.# DA-GEN1 $117.25 BUY Published:  2007   ISBN:  9781860946103

A concise, clear writing style and a detailed and rich coverage of topics are the reasons that students found the first edition of the book so engaging and useful.

• Wide coverage of and clear descriptions of the applied genetics of humans, animals, plants and fungi
• Describes the theory and practice of the applied genetics of all the groups, with diagrams, many examples and photos
• Brightly illustrated with 65 colour photos, including some latest methods in medical genetics

Riding on this wave, all chapters within the second edition of this popular book have been thoroughly updated and expanded, especially the human and animal materials. A wider range of animals is covered, including dogs and cats as well as farm animals. The use of cord blood for therapy, pre-implantation genetic diagnosis and animal cloning are also explored and dealt with.

"Biological Aging: Methods and Protocols" investigates the various processes that are affected by the age of an organism. Several new tools for the analysis of biological aging have been introduced recently, and this volume provides methods and protocols for these new techniques in addition to its coverage of established procedures. The editors have carefully selected only those topics that are considered mainstays of the field or are showing promise in revolutionizing this relatively new science.

• New and novel techniques in biological aging research
• Cutting-edge applications of proteomics and metabolomics
• Identifying genes that extend lifespan using high-throughput screening systems

The three main areas of focus in this cutting-edge compendium of biological aging research are: methods that are basic to understanding the fundamental mechanisms of cellular aging; techniques used to intervene in the aging process; and approaches to analyzing the many molecular processes of biological aging. Researchers seeking new technology and techniques will find this volume of tremendous benefit as they move towards new directions in the exciting and expanding field of biological aging.

Genetically Engineered Food: Methods and Detection (Ed.2) by Knut J. Heller Hardcover - 322 pages Shipped in CLICK HERE Cat.# JW-GEN1 $187.25 BUY Published:  2007   ISBN:  9783527313938

Continuing the very successful first edition, this book reviews the most recent changes to the legal situation in Europe concerning genetically engineered food and labelling. Due to the extremely rapid developments in green biotechnology, all the chapters have been substantially revised and updated.

Divided into three distinct parts, the text begins by covering applications and perspectives, including transgenic modification of production traits in farm animals, fermented food production and the production of food additives using filamentous fungi. The second section is devoted to legislation, while the final part examines methods of detection, such as DNA-based methods, and methods for detecting genetic engineering in composed and processed foods.

From the reviews of the first edition:

"This work promises to be a standard reference in the detection of genetically engineered food. I believe this work will find a valued place for any scientist, regulator or technical library that deals with biotechnology or detection of genetically engineered food organisms."
—James J. Heinis, Journal of Agricultural & Food Information

Table of Contents:

Preface
List of Contributors
Part I Application and Perspectives

1. Transgenic Modification of Production Traits in Farm Animals
1.1 Introduction
1.2 The Creation of Transgenic Animals
1.3 Gene Transfer in Poultry
1.4 Gene Transfer in Fish
1.5 Transgenes – Gene Constructs
1.6 Transgenic Animals with Agricultural Traits
1.7 Improved Growth Rate, Carcass Composition, and Feed Efficiency
1.8 Alteration of the Composition of Milk
1.9 Improved Animal Health
1.10 Improved Biochemical Pathways
1.11 Improved Wool Production
1.12 Transgenic Farm Animals, Biosafety Issues, Animal Welfare, and Ethics
1.13 Conclusion

References

2. Genetically Modified Plants
2.1 Methods for Establishing Genetically Modified Plants
2.2 GM Plants Already on the Market (EU, USA, Canada, Japan)
2.3 GM Plants “In the Pipeline”
2.4 Outlook

References

3. Fermentation of Food by Means of Genetically Modified Yeast and Filamentous Fungi
3.1 Introduction
3.2 Yeast
3.3 Filamentous Fungi
3.4 Prospects

Acknowledgements
References

4. Production of Food Additives Using Filamentous Fungi
4.1 Filamentous Fungi in Food Production
4.2 Additives for the Food Industry
4.3 Design of Genetically Modified Microorganisms for Production of Food Additives and Processing Aids
4.4 Industrial Enzyme Production Processes

References

5. Genetic Engineering of Bacteria Used in Food Fermentation
5.1 Introduction
5.2 Lactic Acid Bacteria
5.3 Perspectives and Objectives
5.4 Methods
5.5 Conclusions

References

Part II Legislation in Europe.

6. The Legal Situation for Genetically Engineered Food in Europe
6.1 Introduction
6.2 The Law Applicable to Genetically Modified Food

References

Part III Methods of Detection

7. Detection of Genetic Modifications – Some Basic Considerations
7.1 The Conversion of Genetic Information from DNA to Phenotypes
7.2 DNA, Protein, and Phenotypes as Targets for Detection Assays
7.3 Food-grade Modifications
7.4 Detection of Unknown Modifications

8. DNA-based Methods for Detection of Genetic Modifications
8.1 Introduction
8.2 Recent DNA Methodology
8.3 Specific Detection of Genetic Material
8.4 Nucleic Acid Amplification Methods using PCR
8.5 Alternative and Promising DNA Detection Techniques
8.6 Conclusions and Future Prospects for GMO Detection by DNA Analysis

References

9. Genetic Engineering of Fish, and Methods of Detection
9.1 Introduction
9.2 Development and Production of Transgenic Fish
9.3 Examples of Successful Production of Transgenic Fish
9.4 Methods of Detecting Processed Transgenic Fish
9.5 Food Safety of Transgenic Fish

References

10. Detection Methods for Genetically Modified Crops
10.1 Introduction
10.2 Isolation of plant DNA
10.3 Detection Strategies
10.4 Outlook, Conclusions

References

11. Methods for Detection of Genetically Modified Organisms in Composite and Processed Foods
11.1 Introduction
11.2 Challenges Specific to the Detection of GMO in Composite and Processed Foods
11.3 Degradation of Proteins and DNA
11.4 Analytical Methods
11.5 Conclusions

References

12. Mutations in Lactococcus lactis and their Detection
Summary
12.1 Introduction
12.2 The Composition of the Genome of Lactococcus lactis
12.3 Flexibility in the Genome of Lactococcus lactis
12.4 Conjugation
12.5 Transduction
12.6 Transformation
12.7 IS Elements and Transposons
12.8 Lactococcal Phages as Sources of Genetic Plasticity
12.9 An Example of Natural Genetic Flexibility: The L. lactis NCDO712 Family
12.10 Mutations in Lactococcus lactis as a Consequence of Environmental Factors and DNA Metabolism
12.11 Methods of Mutating the Genome of L. lactis
12.12 Genetic Engineering of Lactococcus lactis
12.13 Strategies for Detection of Genetically Modified Lactococcus lactis
12.14 Sample Preparation
12.15 DNA-based Procedures
12.16 Protein-based Procedures
12.17 Conclusions

References

13. Methods for Detection of Genetically Modified Microorganisms used in Food Fermentation Processes
13.1 Introduction
13.2 Current Methods for Detection of GMM
13.3 DNA Isolation
13.4 DNA Stability
13.5 Organism-specific Detection of the GMM
13.6 Conclusion

References
Index

Flow Cytometry with Plant Cells: Analysis of Genes, Chromosomes and Genomes by Jaroslav Dolezel, Johann Greilhuber, and Jan Suda Hardcover - 479 pages Shipped in CLICK HERE Cat.# JW-GEN2 $231.75 BUY Published:  2007   ISBN:  9783527314874

Targeted at beginners as well as experienced users, this handy reference explains the benefits and uses of flow cytometery in the study of plants and their genomes. Following a brief introduction that highlights general considerations when analyzing plant cells by flow cytometric methods, the book goes on to discuss examples of application in plant genetics, genomic analysis, cell cycle analysis, marine organism analysis and breeding studies.

With its list of general reading and a glossary of terms, this first reference on FCM in plants fills a real gap by providing first-hand practical hints for the growing community of plant geneticists.

Table of Contents:

• Development of flow cytometry
• Principles of flow cytometry
• Overview of plant flow cytometry
• Nuclear DNA content measurement
• Ploidy level estimation and its uses in plant biosystematics
• Reproduction mode screening
• Genome size
• Genome base composition
• Flow cytometry in agro science
• Protoplast analysis
• Flow cytometry of photosynthetic systems
• Flow cytometry of non-vascular plants
• Aquatic flow cytometry
• Cell cycle analysis
• Endopolyploidy
• Flow karyotyping and chromosome sorting
• Analysis of gene expression

Bioinformatics for Geneticists by Michael R. Barnes Softcover - 576 pages Shipped in CLICK HERE Cat.# JW-GEN3 $226.30 BUY Published:  2007   ISBN:  9780470026199

A Bioinformatics Primer for the Analysis of Genetic Data (Ed.2)

A fully revised version of the successful First Edition, this one-stop reference book enables all geneticists to improve the efficiency of their research.

The study of human genetics is moving into a challenging new era. New technologies and data resources such as the HapMap are enabling genome-wide studies, which could potentially identify most common genetic determinants of human health, disease and drug response. With these tremendous new data resources at hand, more than ever care is required in their use. Faced with the sheer volume of genetics and genomic data, bioinformatics is essential to avoid drowning true signal in noise. Considering these challenges, Bioinformatics for Geneticists, Second Edition works at multiple levels: firstly, for the occasional user who simply wants to extract or analyse specific data; secondly, at the level of the advanced user providing explanations of how and why a tool works and how it can be used to greatest effect. Finally experts from fields allied to genetics give insight into the best genomics tools and data to enhance a genetic experiment.

Hallmark Features of the Second Edition:

• Illustrates the value of bioinformatics as a constantly evolving avenue into novel approaches to study genetics
• The only book specifically addressing the bioinformatics needs of geneticists
• More than 500f chapters are completely new contributions
• Dramatically revised content in core areas of gene and genomic characterisation, pathway analysis, SNP functional analysis and statistical genetics
• Focused on freely available tools and web-based approaches to bioinformatics analysis, suitable for novices and experienced researchers alike

Praise for the First Edition:

”…a very valuable and important resource for bringing bioinformatics into the work practice of geneticists… we strongly recommend this book…” CLINICAL CHEMISTRY, 2004

”…a useful addition to the library of a seasoned scientist… a useful resource in itself, cataloguing the ‘how’ and ‘why’…” BRIEFINGS IN BIOINFORMATICS, June 2004

Bioinformatics for Geneticists, Second Edition describes the key bioinformatics and genetic analysis processes that are needed to identify human genetic determinants. The book is based upon the combined practical experience of domain experts from academic and industrial research environments and is of interest to a broad audience, including students, researchers and clinicians working in the human genetics domain.

Table of Contents:

Foreword
Preface
Contributors
Glossary

SECTION I AN INTRODUCTION TO BIOINFORMATICS FOR THE GENETICIST

1. Bioinformatics challenges for the geneticist
1.1 Introduction
1.2 The role of bioinformatics in genetics research
1.3 Genetics in the post-genome era
1.4 Conclusions

References

2. Managing and manipulating genetic data
2.1 Introduction
2.2 Basic principles
2.3 Data entry and storage
2.4 Data manipulation
2.5 Examples of code
2.6 Resources
2.7 Summary

References

SECTION II MASTERING GENES, GENOMES AND GENETIC VARIATION DATA

3. The HapMap – A haplotype map of the human genome
3.1 Introduction
3.2 Accessing the data
3.3 Application of HapMap data in association studies
3.4 Future Perspectives

References

4. Assembling a view of the human genome
4.1 Introduction
4.2 Genomic sequence assembly
4.3 Annotation from a distance: the generalities
4.4 Annotation up close and personal: the specifics
4.5 Annotation: the next generation

References

5. Finding, delineating and analysing genes
5.1 Introduction
5.2 Why learn to predict and analyse genes in the complete genome era?
5.3 The evidence cascade for gene products
5.4 Dealing with the complexities of gene models
5.5 Locating known genes in the human genome
5.6 Genome portal inspection
5.7 Analysing novel genes
5.8 Conclusions and prospects

References

6. Comparative genomics
6.1 Introduction
6.2 The Genomic landscape
6.3 Concepts
6.4 Practicalities
6.5 Technology
6.6 Applications
6.7 Challenges and future directions
6.8 Conclusion

References

SECTION III BIOINFORMATICS FOR GENETIC STUDY DESIGN AND ANALYSIS

7. Identifying mutations in single gene disorders
7.1 Introduction
7.2 Clinical Ascertainment
7.3 Genome-wide mapping of monogenic diseases
7.4 The nature of mutation in monogenic diseases
7.5 Considering epigenetic effects in mendelian traits
7.6 Summary

References

8. From Genome Scan Culprit Gene
8.1 Introduction
8.2 Theoretical and practical considerations
8.3 A stepwise approach to locus refinement and candidate gene identification
8.4 Conclusion
8.5 A list of the software tools and Web links mentioned in this chapter

References

9. Integrating Genetics, Genomics and Epigenomics to Identify Disease Genes
9.1 Introduction
9.2 Dealing with the (draft) human genome sequence
9.3 Progressing loci of interest with genomic information
9.4 In silico characterization of the IBD5 locus – a case study
9.5 Drawing together biological rationale – hypothesis building
9.6 Identification of potentially functional polymorphisms
9.7 Conclusions

References

10. Tools for statistical genetics
10.1 Introduction
10.2 Linkage analysis
10.3 Association analysis
10.4 Linkage disequilibrium
10.5 Quantitative trait locus (QTL) mapping in experimental crosses
10.6 Closing remarks

Reference

SECTION IV MOVING FROM ASSOCIATED GENES TO DISEASE ALLELES

11. Predictive functional analysis of polymorphisms: An overview
11.1 Introduction
11.2 Principles of predictive functional analysis of polymorphisms
11.3 The anatomy of promoter regions and regulatory elements
11.4 The anatomy of genes
11.5 Pseudogenes and regulatory mRNA
11.6 Analysis of novel regulatory elements and motifs in nucleotide sequences
11.7 Functional analysis of non-synonymous coding polymorphisms
11.8 Integrated tools for functional analysis of genetic variation
11.9 A note of caution on the prioritization of in silico predictions for further laboratory investigation
11.10 Conclusions

References

12. Functional in silico analysis of gene regulatory polymorphism
12.1 Introduction
12.2 Predicting regulatory regions
12.3 Modelling and predicting transcription factor-binding sites
12.4 Predicting regulatory elements for splicing regulation
12.5 Evaluating the functional importance of regulatory polymorphisms

References

13. Amino-acid properties and consequences of substitutions
13.1 Introduction
13.2 Protein features relevant to amino-acid behaviour
13.3 Amino-acid classifications
13.4 Properties of the amino acids
13.5 Amino-acid quick reference
13.6 Studies of how mutations affect function
13.7 A summary of the thought process

References

14. Non-coding RNA bioinformatics
14.1 Introduction
14.2 The non-coding (nc) RNA universe
14.3 Computational analysis of ncRNA
14.4 ncRNA variation in disease
14.5 Assessing the impact of variation in ncRNA
14.6 Data resources to support small ncRNA analysis
14.7 Conclusions

References

SECTION V ANALYSIS AT THE GENETIC AND GENOMIC DATA INTERFACE

15. What are microarrays?
15.1 Introduction
15.2 Principles of the application of microarray technology
15.3 Complementary approaches to microarray analysis
15.4 Differences between data repository and research database
15.5 Descriptions of freely available research database packages

References

16. Combining quantitative trait and gene-expression data
16.1 Introduction: the genetic regulation of endophenotypes
16.2 Transcript abundance as a complex phenotype
16.3 Scaling up genetic analysis and mapping models for microarrays
16.4 Genetic correlation analysis
16.5 Systems genetic analysis
16.6 Using expression QTLs to identify candidate genes for the regulation of complex phenotypes
16.7 Conclusions

References

17. Bioinformatics and cancer genetics
17.1 Introduction
17.2 Cancer genomes
17.3 Approaches to studying cancer genetics
17.4 General resources for cancer genetics
17.5 Cancer genes and mutations
17.6 Copy number alterations in cancer
17.7 Loss of heterozygosity in cancer
17.8 Gene-expression data in cancer
17.9 Multiplatform gene target identification
17.10 The epigenetics of cancer
17.11 Tumour modelling
17.12 Conclusions

References

18. Needle in a haystack? dealing with 500 SNP genome scans
18.1 Introduction
18.2 Genome scan analysis issues
18.3 Ultra-high-density genome-scanning technologies
18.4 Bioinformatics for genome scan analysis
18.5 Conclusions

References

19. A bioinformatics perspective on genetics in drug discovery and development
19.1 Introduction
19.2 Target genetics
19.3 Pharmacogenetics (PGx)
19.4 Conclusions: toward ‘personalized medicine’

References
Appendix I
Appendix II
Index

Current major interests in this area include the study of higher level phylogenetic relationships and character evolution in the angiosperms, floral evolution, the genetic basis of key floral differences in basal angiosperms, the genetic and genomic consequences of polyploid speciation, conservation genetics of rare plant species, and phylogeography. This book provides a series of papers focused on the developmental genetics of flowering as well as the genetic control of the timing of flowering. Investigation of speciational mechanisms, evolutionary relationships, and character evolution in flowering plants and land plants utilizing a variety of experimental approaches are discussed. The chapters are excellent reviews of the current fast-moving area of research.