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Journal articles 2014

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Exploring germplasm diversity to understand the domestication process in Cicer spp. using SNP and DArT markers Exploring germplasm diversity to understand the domestication process in Cicer spp. using SNP and DArT markers

Roorkiwal M, von Wettberg EJ, Upadhyaya HD, Warschefsky E, Rathore A and Varshney RK (2014). Exploring germplasm diversity to understand the domestication process in Cicer spp. using SNP and DArT markers. PLoS ONE 9(7):e102016 (DOI: 10.1371/journal.pone.0102016).

Abstract: To estimate genetic diversity within and between 10 interfertile Cicer species (94 genotypes) from the primary, secondary and tertiary gene pool, we analysed 5,257 DArT markers and 651 KASPar SNP markers. Based on successful allele calling in the tertiary gene pool, 2,763 DArT and 624 SNP markers that are polymorphic between genotypes from the gene pools were analyzed further. STRUCTURE analyses were consistent with 3 cultivated populations, representing kabuli, desi and pea-shaped seed types, with substantial admixture among these groups, while two wild populations were observed using DArT markers. AMOVA was used to partition variance among hierarchical sets of landraces and wild species at both the geographical and species level, with 61% of the variation found between species, and 39% within species. Molecular variance among the wild species was high (39%) compared to the variation present in cultivated material (10%). Observed heterozygosity was higher in wild species than the cultivated species for each linkage group. Our results support the Fertile Crescent both as the center of domestication and diversification of chickpea. The collection used in the present study covers all the three regions of historical chickpea cultivation, with the highest diversity in the Fertile Crescent region. Shared alleles between different gene pools suggest the possibility of gene flow among these species or incomplete lineage sorting and could indicate complicated patterns of divergence and fusion of wild chickpea taxa in the past.

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Genotypic performance in multi-location on-farm trials for evaluation of different on-station screening methods for drought-prone rainfed lowland rice in Lao PDR Genotypic performance in multi-location on-farm trials for evaluation of different on-station screening methods for drought-prone rainfed lowland rice in Lao PDR

Xangsayasane P, Fukai S, Mitchell JH, Jongdee B, Jothityangkoon D, Pantuwan G and Inthapanya P (2014). Genotypic performance in multi-location on-farm trials for evaluation of different on-station screening methods for drought-prone rainfed lowland rice in Lao PDR. Field Crops Research 160:1–11 (DOI: 10.1016/j.fcr.2014.02.009). Not open access; view abstract. (G3008.06)

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Two in one sweep: aluminum tolerance and grain yield in P-limited soils are associated to the same genomic region in West African Sorghum Two in one sweep: aluminum tolerance and grain yield in P-limited soils are associated to the same genomic region in West African Sorghum

Leiser WL, Rattunde HFW, Weltzien E, Cisse N, Abdou M, Diallo A, Tourè AO, Magalhaes JV and Haussmann BIG (2014). Two in one sweep: aluminum tolerance and grain yield in P-limited soils are associated to the same genomic region in West African Sorghum. BMC Plant Biology 14:206 (DOI:10.1186/s12870-014-0206-6). (G7010.03.03)

Abstract: Background Sorghum (Sorghum bicolor L. Moench) productivity is severely impeded by low phosphorus (P) and aluminum (Al) toxic soils in sub-Saharan Africa and especially West Africa (WA). Improving productivity of this staple crop under these harsh conditions is crucial to improve food security and farmer’s incomes in WA.

Results This is the first study to examine the genetics underlying sorghum adaptation to phosphorus limitation in a wide range of WA growing conditions. A set of 187 diverse sorghum genotypes were grown in 29 –P and + P field experiments from 2006-2012 in three WA countries. Sorghum grain yield performance under –P and + P conditions was highly correlated (r = 0.85***). Significant genotype-by-phosphorus interaction was detected but with small magnitude compared to the genotype variance component. We observed high genetic diversity within our panel, with rapid linkage disequilibrium decay, confirming recent sequence based studies in sorghum. Using genome wide association mapping based on 220 934 SNPs we identified one genomic region on chromosome 3 that was highly associated to grain yield production. A major Al-tolerance gene in sorghum, SbMATE, was collocated in this region and SbMATE specific SNPs showed very high associations to grain yield production, especially under –P conditions, explaining up to 16% of the genotypic variance.

Conclusion The results suggest that SbMATE has a possible pleiotropic role in providing tolerance to two of the most serious abiotic stresses for sorghum in WA, Al toxicity and P deficiency. The identified SNPs can help accelerate breeding for increased sorghum productivity under unfavorable soil conditions and contribute to assuring food security in WA.

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Association mapping provides insights into the origin and the fine structure of the sorghum aluminum tolerance locus, AltSB Association mapping provides insights into the origin and the fine structure of the sorghum aluminum tolerance locus, AltSB

Caniato FF, Hamblin MT, Guimaraes CT, Zhang Z, Schaffert RE, Kochian LV and Magalhaes JV (2014). Association mapping provides insights into the origin and the fine structure of the sorghum aluminum tolerance locus, AltSB. PLoS ONE 9(1):e87438 (DOI: 10.1371/journal.pone.0087438).

Abstract: Root damage caused by aluminum (Al) toxicity is a major cause of grain yield reduction on acid soils, which are prevalent in tropical and subtropical regions of the world where food security is most tenuous. In sorghum, Al tolerance is conferred by SbMATE, an Al-activated root citrate efflux transporter that underlies the major Al tolerance locus, AltSB, on sorghum chromosome 3. We used association mapping to gain insights into the origin and evolution of Al tolerance in sorghum and to detect functional variants amenable to allele mining applications. Linkage disequilibrium across the AltSB locus decreased much faster than in previous reports in sorghum, and reached basal levels at approximately 1000 bp. Accordingly, intra-locus recombination events were found to be extensive. SNPs and indels highly associated with Al tolerance showed a narrow frequency range, between 0.06 and 0.1, suggesting a rather recent origin of Al tolerance mutations within AltSB. A haplotype network analysis suggested a single geographic and racial origin of causative mutations in primordial guinea domesticates in West Africa. Al tolerance assessment in accessions harboring recombinant haplotypes suggests that causative polymorphisms are localized to a ~6 kb region including intronic polymorphisms and a transposon (MITE) insertion, whose size variation has been shown to be positively correlated with Al tolerance. The SNP with the strongest association signal, located in the second SbMATE intron, recovers 9 of the 14 highly Al tolerant accessions and 80% of all the Al tolerant and intermediately tolerant accessions in the association panel. Our results also demonstrate the pivotal importance of knowledge on the origin and evolution of Al tolerance mutations in molecular breeding applications. Allele mining strategies based on associated loci are expected to lead to the efficient identification, in diverse sorghum germplasm, of Al tolerant accessions able maintain grain yields under Al toxicity.

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Assessment of irrigation scenarios to improve performances of Lingot bean (Phaseolus vulgaris) in southwest France Assessment of irrigation scenarios to improve performances of Lingot bean (Phaseolus vulgaris) in southwest France

Marrou H, Sinclair TR and Metral R (2014). Assessment of irrigation scenarios to improve performances of Lingot bean (Phaseolus vulgaris) in southwest France. European Journal of Agronomy 59:22–28 (DOI: 10.1016/j.eja.2014.05.006). Not open access; view abstract. (G6010.05)

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A SSR kit to study genetic diversity in chickpea (Cicer arietinum L.) A SSR kit to study genetic diversity in chickpea (Cicer arietinum L.)

Varshney RK, Thudi M, Upadhyaya H, Dwivedi S, Udupa S, Furman B, Baum M and Hoisington D (2014). A SSR kit to study genetic diversity in chickpea (Cicer arietinum L.). Plant Genetic Resources 12(S):S118–S120 (DOI: 10.1017/S1479262114000392). Not open access; view abstract.

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Genotypic performance under intermittent and terminal drought screening in rainfed lowland rice Genotypic performance under intermittent and terminal drought screening in rainfed lowland rice

Xangsayasane P, Jongdee B, Pantuwan G., Fukai S, Mitchell JH, Inthapanya P and Jothityangkoon D (2014). Genotypic performance under intermittent and terminal drought screening in rainfed lowland rice. Field Crops Research 156:281–292 (DOI: 10.1016/j.fcr.2013.10.017). Not open access; view abstract. (G3008.06)

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Selection of sorghum hybrids grown under aluminum saturation Selection of sorghum hybrids grown under aluminum saturation

Menezes CB, Carvalho Junior GA, Silva LA, Bernardino KC, Magalhães JV, Guimarães CT, Guimarães LJM and Schaffert RE (2014). Selection of sorghum hybrids grown under aluminum saturation. Genetics and Molecular Research 13(3):5964–5973 (DOI: 10.4238/2014.August.7.12).

Abstract: The purpose of this study was to evaluate 165 hybrids derived from lines previously selected for aluminum (Al) tolerance. Nine check cultivars were used, eight commercial hybrids and one experimental hybrid. Hybrids were evaluated at three levels of Al saturation (0, 20 and 40% on average). The differences between the environments were significant. Environment with 0% Al saturation yielded 29.5% more than that with 40% Al saturation, showing the importance of genotype selection for acid soils. The best check cultivar was the hybrid DKB550. The hybrids AG1020 and AG1040 also performed well, where the latter was more tolerant but the former more responsive to environment improvement. The hybrid BRS304 was susceptible to high levels of Al saturation. The three commercial BRS hybrids (BRS310, BRS330 and BRS332) performed better than BRS304 at high Al saturation. The hybrid BRS330 was the best BRS hybrid to grow on a field with high Al saturation. The hybrid DKB559 performed well at high Al saturation but did not respond to environment improvement. The hybrids 727029, 727039, 729041, 729095, 729109, AG1040, and DKB550 were tolerant to higher levels of Al saturation and responsive to environment improvement, and showed good stability and adaptability at both low and high Al saturation.

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Genomics-assisted breeding for drought tolerance in chickpea Genomics-assisted breeding for drought tolerance in chickpea

Thudi M, Gaur PM, Krishnamurthy L, Mir RR, Kudapa H, Fikre A, Kimurto P, Tripathi S, Soren KR, Mulwa R, Bharadwaj C, Datta S, Chaturvedi SK and Varshney RK (2014). Genomics-assisted breeding for drought tolerance in chickpea. Functional Plant Biology 41(11):1178–1190 (DOI: 10.1071/FP13318).

Abstract: Terminal drought is one of the major constraints in chickpea (Cicer arietinum L.), causing more than 50% production losses. With the objective of accelerating genetic understanding and crop improvement through genomics-assisted breeding, a draft genome sequence has been assembled for the CDC Frontier variety. In this context, 544.73 Mb of sequence data were assembled, capturing of 73.8% of the genome in scaffolds. In addition, large-scale genomic resources including several thousand simple sequence repeats and several million single nucleotide polymorphisms, high-density diversity array technology (15 360 clones) and Illumina GoldenGate assay genotyping platforms, high-density genetic maps and transcriptome assemblies have been developed. In parallel, by using linkage mapping approach, one genomic region harbouring quantitative trait loci for several drought tolerance traits has been identified and successfully introgressed in three leading chickpea varieties (e.g. JG 11, Chefe, KAK 2) by using a marker-assisted backcrossing approach. A multilocation evaluation of these marker-assisted backcrossing lines provided several lines with 10–24% higher yield than the respective recurrent parents.Modern breeding approaches like marker-assisted recurrent selection and genomic selection are being deployed for enhancing drought tolerance in chickpea. Some novel mapping populations such as multiparent advanced generation intercross and nested association mapping populations are also being developed for trait mapping at higher resolution, as well as for enhancing the genetic base of chickpea. Such advances in genomics and genomics-assisted breeding will accelerate precision and efficiency in breeding for stress tolerance in chickpea.

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Bulk genetic characterization of Ghanaian maize landraces using microsatellite markers Bulk genetic characterization of Ghanaian maize landraces using microsatellite markers

Oppong A, Bedoya CA, Ewool MB, Asante MD, Thompson RN, Adu-Dapaah H, Lamptey JNL, Ofori K, Offei SK and Warburton ML (2014). Bulk genetic characterization of Ghanaian maize landraces using microsatellite markers. Maydica 59:1–8. (G4007.13.04)

Abstract: Maize (Zea mays L) was first introduced into Ghana over five centuries ago and remains the most important cereal staple, grown in all agro-ecologies across the country. Yield from farmers' fields are low, which is attributed in part to farmer's preferences and/or reliance on local landraces for cultivation. Efforts are underway to improve some of these landraces for improved productivity. Seeds of maize landraces cultivated in all agro-ecologies were collected for genetic characterization using a bulked fingerprinting technique and 20 SSR markers. In all, 20 populations of 15 plants each from Ghana and 4 control populations from Latin America were characterized. The cluster analysis grouped the 20 landraces into two major groups corresponding to the vegetation/climatic conditions of the north and south of the country. Genotypes from Ashanti, which is centrally located, fell into both major clusters, which suggest its importance in maize seed distribution in Ghana and also the diverse climate/vegetation. Structure analyses grouped the genotypes into two major clusters similar to the UPGMA cluster, and populations were not fully distinct according to F statistics. The results suggest that breeders should make performance data available to seed dealers for better productivity.

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