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Journal articles 2012

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A promoter-swap strategy between the AtALMT and AtMATE genes increased Arabidopsis aluminium resistance and improved carbon-use efficiency for aluminium resistance A promoter-swap strategy between the AtALMT and AtMATE genes increased Arabidopsis aluminium resistance and improved carbon-use efficiency for aluminium resistance

Liu J, Luo X, Shaff J, Liang C, Jia X, Li Z, Magalhães J and Kochian LV (2012). A promoter-swap strategy between the AtALMT and AtMATE genes increased Arabidopsis aluminium resistance and improved carbon-use efficiency for aluminium resistance. The Plant Journal 71(2):327–337. (DOI: 10.1111/j.1365-313X.2012.04994.x).

The primary mechanism of Arabidopsis aluminum (Al) resistance is based on root Al exclusion, resulting from Al-activated root exudation of the Al3+-chelating organic acids, malate and citrate. Root malate exudation is the major contributor to Arabidopsis Al resistance, and is conferred by expression of AtALMT1, which encodes the root malate transporter. Root citrate exudation plays a smaller but still significant role in Arabidopsis Al resistance, and is conferred by expression of AtMATE, which encodes the root citrate transporter. In this study, we demonstrate that levels of Al-activated root organic acid exudation are closely correlated with expression of the organic acid transporter genes AtALMT1 and AtMATE.

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A reference microsatellite kit to assess for genetic diversity of Sorghum bicolor (Poaceae) A reference microsatellite kit to assess for genetic diversity of Sorghum bicolor (Poaceae)

Billot C, Rivallan R, Sall MN, Fonceka D, Deu M, Glaszmann J-C, Noyer J-L, Rami J-F, Risterucci A-M, Wincker P, Ramu P and Hash CT (2012). A reference microsatellite kit to assess for genetic diversity of Sorghum bicolor (Poaceae). American Journal of Botany 99(6):e245–e250. (DOI: 10.3732/ajb.1100548).

Discrepancies in terms of genotyping data are frequently observed when comparing simple sequence repeat (SSR) data sets across genotyping technologies and laboratories. This technical concern introduces biases that hamper any synthetic studies or comparison of genetic diversity between collections. To prevent this for Sorghum bicolor, we developed a control kit of 48 SSR markers.

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Phenotyping chickpeas and pigeonpeas for adaptation to drought Phenotyping chickpeas and pigeonpeas for adaptation to drought

Upadhyaya HD, Kashiwagi J, Varshney RK, Gaur PM, Saxena KB, Krishnamurthy L, Gowda CLL, Pundir RPS,  Chaturvedi SK, Basu PS and Singh IP (2012). Phenotyping chickpeas and pigeonpeas for adaptation to drought.  Frontiers in Plant Physiology 3:179. (DOI: 10.3389/fphys.2012.00179).

The chickpea and pigeonpea are protein-rich grain legumes used for human consumption in many countries. Grain yield of these crops is low to moderate in the semi-arid tropics with large variation due to high GxE interaction. In the Indian subcontinent chickpea is grown in the post-rainy winter season on receding soil moisture, and in other countries during the cool and dry post winter or spring seasons. The pigeonpea is sown during rainy season which flowers and matures in post-rainy season. The rainy months are hot and humid with diurnal temperature varying between 25 and 35˚C (maximum) and 20 and 25˚C (minimum) with an erratic rainfall. The available soil water during post-rainy season is about 200–250 mm which is bare minimum to meet the normal evapotranspiration. Thus occur- rence of drought is frequent and at varying degrees. To enhance productivity of these crops cultivars tolerant to drought need to be developed.

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Screening experimental designs for quantitative trait loci, association mapping, genotype-by environment interaction, and other investigations Screening experimental designs for quantitative trait loci, association mapping, genotype-by environment interaction, and other investigations

Federer WT and Crossa J (2012). Screening experimental designs for quantitative trait loci, association mapping, genotype-by environment interaction, and other investigations. Frontiers in Plant Physiology 3:156. (DOI: 10.3389/fphys.2012.00156).

Crop breeding programs using conventional approaches, as well as new biotechnological tools, rely heavily on data resulting from the evaluation of genotypes in different environmentalconditions (agronomic practices, locations, and years). Statistical methods used for designing field and laboratory trials and for analyzing the data originating from those trials need to be accurate and efficient.The statistical analysis of multi-environment trails (MET)is useful for assessing genotype×environment interaction (GEI), mapping quantitative trait loci (QTLs), and studying QTL×environment interaction (QEI). Large populations are required for scientific study of QEI, and for determining the association between molecular markers and quantitative trait variability.

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Leaf morphology in Cowpea [Vigna unguiculata (L.) Walp]: QTL analysis, physical mapping and identifying a candidate gene using synteny with model legume species Leaf morphology in Cowpea [Vigna unguiculata (L.) Walp]: QTL analysis, physical mapping and identifying a candidate gene using synteny with model legume species

Pottorff M, Ehlers JD, Fatokun C, Roberts PA, and Close TJ (2012). Leaf morphology in Cowpea [Vigna unguiculata (L.) Walp]: QTL analysis, physical mapping and identifying a candidate gene using synteny with model legume species. BMC Genomics 13:234. (DOI:10.1186/1471-2164-13-234). (G6010.02/G7010.07.01).

Cowpea [Vigna unguiculata (L.) Walp] exhibits a considerable variation in leaf shape. Although cowpea is mostly utilized as a dry grain and animal fodder crop, cowpea leaves are also used as a high-protein pot herb in many countries of Africa.

This study has demonstrated how integrated genomic resources can be utilized for a candidate gene approach. Identification of genes which control leaf morphology may be utilized to improve the quality of cowpea leaves for vegetable and or forage markets as well as contribute to more fundamental research understanding the control of leaf shape in legumes.

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Development of a Mesoamerican intra-genepool genetic map for quantitative trait loci detection in a drought tolerant × susceptible common bean (Phaseolus vulgaris L.) cross. Development of a Mesoamerican intra-genepool genetic map for quantitative trait loci detection in a drought tolerant × susceptible common bean (Phaseolus vulgaris L.) cross.

Blair MW, Galeano CH, Tovar E, Muñoz Torres MC, Velasco Castrillón A, Beebe SE, Rao IM (2012). Development of a Mesoamerican intra-genepool genetic map for quantitative trait loci detection in a drought tolerant × susceptible common bean (Phaseolus vulgaris L.) cross. Molecular Breeding 29(1):71–88 (DOI 10.1007/s11032-010-9527-9). Also published online in 2010.

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Genetic structure, linkage disequilibrium and signature of selection in sorghum; lessons from physically anchored DArT markers Genetic structure, linkage disequilibrium and signature of selection in sorghum; lessons from physically anchored DArT markers

Bouchet S, Pot D, Deu M, Rami JF, Billot C, Perrier CX, Rivallan R, Gardes L, Xia L, Wenzl P, Kilian K, Glaszmann JC (2012). Genetic structure, linkage disequilibrium and signature of selection in sorghum; lessons from physically anchored DArT markers. PLoS ONE 7(3):e33470 (DOI:10.1371/journal.pone.0033470).

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Genetic diversity of provitamin A cassava in Uganda Genetic diversity of provitamin A cassava in Uganda

Esuma W, Rubaihayo P, Pariyo A, Kawuki R, Wanjala B, Nzuki I, Harvey JJW, Baguma Y (2012). Genetic diversity of provitamin A cassava in Uganda. Journal of Plant Studies 1(1):60–71 (DOI: 10.5539/jps.v1n1p60).

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Fostered and left behind alleles in peanut: interspecific QTL mapping reveals footprints of domestication and useful natural variation for breeding Fostered and left behind alleles in peanut: interspecific QTL mapping reveals footprints of domestication and useful natural variation for breeding

Foncéka D, Tossim HA, Rivallan R, Vignes H, Faye I, Ndoye O, Moretzsohn MC, Bertioli DJ, Glaszmann JC, Courtois B, Rami JF (2012). Fostered and left behind alleles in peanut: interspecific QTL mapping reveals footprints of domestication and useful natural variation for breeding. BMC Plant Biology 2012, 12:26 45pp. (DOI: 10.1186/1471-2229-12-26, ISSN 1471-2229).

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Foundation characteristics of edible Musa triploids revealed from allelic distribution of SSR markers Foundation characteristics of edible Musa triploids revealed from allelic distribution of SSR markers

Hippolyte I, Jenny C, Gardes L, Bakry F, Rivallan R, Pomies V, Cubry P, Tomekpe K, Risterucci AM, Roux N, Rouard M, Arnaud E, Kolesnikova-Allen M, Perrier X (2012). Foundation characteristics of edible Musa triploids revealed from allelic distribution of SSR markers. Annals of Botany published online: 15pp. (DOI:10.1093/aob/mcs010)

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