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  • 1
    Publication Date: 2012-11-30
    Description: Bread wheat (Triticum aestivum) is a globally important crop, accounting for 20 per cent of the calories consumed by humans. Major efforts are underway worldwide to increase wheat production by extending genetic diversity and analysing key traits, and genomic resources can accelerate progress. But so far the very large size and polyploid complexity of the bread wheat genome have been substantial barriers to genome analysis. Here we report the sequencing of its large, 17-gigabase-pair, hexaploid genome using 454 pyrosequencing, and comparison of this with the sequences of diploid ancestral and progenitor genomes. We identified between 94,000 and 96,000 genes, and assigned two-thirds to the three component genomes (A, B and D) of hexaploid wheat. High-resolution synteny maps identified many small disruptions to conserved gene order. We show that the hexaploid genome is highly dynamic, with significant loss of gene family members on polyploidization and domestication, and an abundance of gene fragments. Several classes of genes involved in energy harvesting, metabolism and growth are among expanded gene families that could be associated with crop productivity. Our analyses, coupled with the identification of extensive genetic variation, provide a resource for accelerating gene discovery and improving this major crop.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3510651/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3510651/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Brenchley, Rachel -- Spannagl, Manuel -- Pfeifer, Matthias -- Barker, Gary L A -- D'Amore, Rosalinda -- Allen, Alexandra M -- McKenzie, Neil -- Kramer, Melissa -- Kerhornou, Arnaud -- Bolser, Dan -- Kay, Suzanne -- Waite, Darren -- Trick, Martin -- Bancroft, Ian -- Gu, Yong -- Huo, Naxin -- Luo, Ming-Cheng -- Sehgal, Sunish -- Gill, Bikram -- Kianian, Sharyar -- Anderson, Olin -- Kersey, Paul -- Dvorak, Jan -- McCombie, W Richard -- Hall, Anthony -- Mayer, Klaus F X -- Edwards, Keith J -- Bevan, Michael W -- Hall, Neil -- B/J004588/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/E004725/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/G012865/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/G013004/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/G013985/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/G024650/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/H022333/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- G0900753/Medical Research Council/United Kingdom -- G0900753(91100)/Medical Research Council/United Kingdom -- England -- Nature. 2012 Nov 29;491(7426):705-10. doi: 10.1038/nature11650.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Centre for Genome Research, University of Liverpool, Liverpool L69 7ZB, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23192148" target="_blank"〉PubMed〈/a〉
    Keywords: Brachypodium/genetics ; *Bread ; Chromosomes, Plant/genetics ; Crops, Agricultural/genetics ; DNA, Complementary/genetics ; DNA, Plant/genetics ; Evolution, Molecular ; Genes, Plant/genetics ; Genome, Plant/*genetics ; Genomics ; Multigene Family/genetics ; Oryza/genetics ; Polymorphism, Single Nucleotide/genetics ; Polyploidy ; Pseudogenes/genetics ; Sequence Alignment ; Sequence Analysis, DNA ; Triticum/classification/*genetics ; Zea mays/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2014-03-06
    Description: There is increasing interest worldwide in managing forests to maintain or improve biodiversity, enhance ecosystem services and assure long-term sustainability of forest resources. An important goal of forest management is to increase stand diversity, provide wildlife habitat and improve forest species diversity. We synthesize results from natural spruce forests in southeast Alaska and suggest strategies for managing Sitka spruce plantations in other parts of the world to benefit biodiversity and enhance a variety of forest ecosystem services. We also discuss the roles of fungi in increasing both biological and structural diversity in Sitka spruce forests. New silvicultural systems that use partial cutting in older spruce forests could alleviate some of the problems associated with conventional even-aged management and increase both stand structural diversity and biodiversity. We found that mixed red alder-conifer stands in Alaska provided more heterogeneous structures than the pure conifer stands that typically develop after clearcutting. Well-planned silvicultural systems that include broadleaved species such as alder or birch could provide trees for timber production, improve wildlife habitat and a variety of other ecosystem services that are often compromised in young pure conifer forests.
    Print ISSN: 0015-752X
    Electronic ISSN: 1464-3626
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
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  • 3
    Publication Date: 2015-04-02
    Description: With read lengths of currently up to 2 x 300 bp, high throughput and low sequencing costs Illumina's MiSeq is becoming one of the most utilized sequencing platforms worldwide. The platform is manageable and affordable even for smaller labs. This enables quick turnaround on a broad range of applications such as targeted gene sequencing, metagenomics, small genome sequencing and clinical molecular diagnostics. However, Illumina error profiles are still poorly understood and programs are therefore not designed for the idiosyncrasies of Illumina data. A better knowledge of the error patterns is essential for sequence analysis and vital if we are to draw valid conclusions. Studying true genetic variation in a population sample is fundamental for understanding diseases, evolution and origin. We conducted a large study on the error patterns for the MiSeq based on 16S rRNA amplicon sequencing data. We tested state-of-the-art library preparation methods for amplicon sequencing and showed that the library preparation method and the choice of primers are the most significant sources of bias and cause distinct error patterns. Furthermore we tested the efficiency of various error correction strategies and identified quality trimming (Sickle) combined with error correction (BayesHammer) followed by read overlapping (PANDAseq) as the most successful approach, reducing substitution error rates on average by 93%.
    Keywords: Genomics
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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