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      A genome scan for quantitative trait loci affecting cyanogenic potential of cassava root in an outbred population

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          Abstract

          Background

          Cassava ( Manihot esculenta Crantz) can produce cyanide, a toxic compound, without self-injury. That ability was called the cyanogenic potential (CN). This project aimed to identify quantitative trait loci (QTL) associated with the CN in an outbred population derived from 'Hanatee' × 'Huay Bong 60', two contrasting cultivars. CN was evaluated in 2008 and in 2009 at Rayong province, and in 2009 at Lop Buri province, Thailand. CN was measured using a picrate paper kit. QTL analysis affecting CN was performed with 303 SSR markers.

          Results

          The phenotypic values showed continuous variation with transgressive segregation events with more (115 ppm) and less CN (15 ppm) than either parent ('Hanatee' had 33 ppm and 'Huay Bong 60' had 95 ppm). The linkage map consisted of 303 SSR markers, on 27 linkage groups with a map that encompassed 1,328 cM. The average marker interval was 5.8 cM. Five QTL underlying CN were detected. CN08R1from 2008 at Rayong, CN09R1and CN09R2 from 2009 at Rayong, and CN09L1 and CN09L2 from 2009 at Lop Buri were mapped on linkage group 2, 5, 10 and 11, respectively. Among all the identified QTL, CN09R1 was the most significantly associated with the CN trait with LOD score 5.75 and explained the greatest percentage of phenotypic variation (%Expl.) of 26%.

          Conclusions

          Five new QTL affecting CN were successfully identified from 4 linkage groups. Discovery of these QTL can provide useful markers to assist in cassava breeding and studying genes affecting the trait.

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          Most cited references23

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          Classification and evolution of P-loop GTPases and related ATPases.

          Sequences and available structures were compared for all the widely distributed representatives of the P-loop GTPases and GTPase-related proteins with the aim of constructing an evolutionary classification for this superclass of proteins and reconstructing the principal events in their evolution. The GTPase superclass can be divided into two large classes, each of which has a unique set of sequence and structural signatures (synapomorphies). The first class, designated TRAFAC (after translation factors) includes enzymes involved in translation (initiation, elongation, and release factors), signal transduction (in particular, the extended Ras-like family), cell motility, and intracellular transport. The second class, designated SIMIBI (after signal recognition particle, MinD, and BioD), consists of signal recognition particle (SRP) GTPases, the assemblage of MinD-like ATPases, which are involved in protein localization, chromosome partitioning, and membrane transport, and a group of metabolic enzymes with kinase or related phosphate transferase activity. These two classes together contain over 20 distinct families that are further subdivided into 57 subfamilies (ancient lineages) on the basis of conserved sequence motifs, shared structural features, and domain architectures. Ten subfamilies show a universal phyletic distribution compatible with presence in the last universal common ancestor of the extant life forms (LUCA). These include four translation factors, two OBG-like GTPases, the YawG/YlqF-like GTPases (these two subfamilies also consist of predicted translation factors), the two signal-recognition-associated GTPases, and the MRP subfamily of MinD-like ATPases. The distribution of nucleotide specificity among the proteins of the GTPase superclass indicates that the common ancestor of the entire superclass was a GTPase and that a secondary switch to ATPase activity has occurred on several independent occasions during evolution. The functions of most GTPases that are traceable to LUCA are associated with translation. However, in contrast to other superclasses of P-loop NTPases (RecA-F1/F0, AAA+, helicases, ABC), GTPases do not participate in NTP-dependent nucleic acid unwinding and reorganizing activities. Hence, we hypothesize that the ancestral GTPase was an enzyme with a generic regulatory role in translation, with subsequent diversification resulting in acquisition of diverse functions in transport, protein trafficking, and signaling. In addition to the classification of previously known families of GTPases and related ATPases, we introduce several previously undetected families and describe new functional predictions.
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            Transgressive segregation, adaptation and speciation

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              Microprep protocol for extraction of DNA from tomato and other herbaceous plants

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                Author and article information

                Journal
                BMC Genomics
                BMC Genomics
                BioMed Central
                1471-2164
                2011
                25 May 2011
                : 12
                : 266
                Affiliations
                [1 ]Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom, Thailand
                [2 ]National Center for Genetic Engineering and Biotechnology, Bangkok, Thailand
                [3 ]Center for Cassava Molecular Biotechnology, Faculty of Science, Mahidol University, Bangkok, Thailand
                [4 ]Rayong Filed Crops Research Center, Ministry of Agriculture and Cooperatives, Rayong, Thailand
                [5 ]Plant Biotechnology and Genomics Core-Facility, Department of Plant, Soil, and Agricultural Systems, Southern Illinois University, Carbondale, IL 62901, USA
                Article
                1471-2164-12-266
                10.1186/1471-2164-12-266
                3123654
                21609492
                52103796-4380-4e01-a434-8e3bf65052c3
                Copyright ©2011 Whankaew et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 10 June 2010
                : 25 May 2011
                Categories
                Research Article

                Genetics
                Genetics

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