In situ estimation of outcrossing rate in sorghum landraces using microsatellite markers

Djè, Y.; Heuertz, Myriam; Ater, Mohammed; Lefèbvre, Claude; Vekemans, Xavier

doi:10.1023/b:euph.0000047082.10626.cb

Cited by 40 publications

(24 citation statements)

References 24 publications

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“…Chantereau and Kondombo (1991) suggested that loose panicles, such as those of guinea landraces, favour outcrossing, whereas the architecture of very compact panicles, such as those typical of durra landraces, impedes outcrossing (see also Djè et al, 2004). In our study, the guinea landrace kubaze kolla appears to exemplify this proposed trend.…”

Section: Biological Traits and Variation In Outcrossing Ratesupporting

confidence: 74%

“…With an outcrossing rate averaging 16% (0-28% among families), kubaze kolla is on the high end of the range of variation, and its outcrossing rate is similar to those observed in previous studies of guinea landraces (Chantereau and Kondombo, 1991;Ollitrault et al, 1997). However, za'toota, a durra landrace, presents even higher outcrossing rates, whereas lower values would be expected for durra landraces based on inflorescence morphology (Fayed et al, 1976;Djè et al, 2004). The panicle of za'toota is, however, looser than those of most durra landraces (Table 1).…”

Section: Biological Traits and Variation In Outcrossing Ratementioning

confidence: 92%

“…Previous studies, conducted under experimentally controlled conditions, have shown that outcrossing rate (t m ) varied from 1 to 30% (Fayed et al, 1976;Ellstrand and Foster, 1983;Chantereau and Kondombo, 1991;Ollitrault et al, 1997;Pedersen et al, 1998). Djè et al (2004) calculated outcrossing rate in situ in two farmers' fields in Morocco, estimating an outcrossing rate two times as high in one field (landraces of durra-bicolor intermediate type, t m ¼ 16%) as in the other (durra landraces, t m ¼ 7%). They explained these differences by the greater compactness of panicles (restricting pollen movement by wind) in the varieties grown in the latter field.…”

Section: Introductionmentioning

confidence: 99%

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High outcrossing rates in fields with mixed sorghum landraces: how are landraces maintained?

et al. 2008

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The effect of mating system on genetic diversity is a major theme in plant evolutionary genetics, because gene flow plays a large role in structuring the genetic variability within and among populations. Understanding crop mating systems and their consequences for gene flow can aid in managing agricultural systems and conserving genetic resources. We evaluated the extent of pollen flow, its links with farming practices and its impact on the dynamics of diversity of sorghum in fields of Duupa farmers in Cameroon. Duupa farmers grow numerous landraces mixed in a field, a practice that favours extensive pollen flow. We estimated parameters of the mating system of five landraces representative of the genetic diversity cultivated in the study site, using a direct method based on progeny array. The multilocus outcrossing rate calculated from all progenies was 18% and ranged from 0 to 73% among progenies.Outcrossing rates varied greatly among landraces, from 5 to 40%. Our results also showed that individual maternal plants were usually pollinated by more than eight pollen donors, except for one landrace (three pollen donors). Although the biological traits of sorghum (inflorescence morphology, floral traits, phenology) and the spatial planting practices of Duupa farmers led to extensive pollen flow among landraces, selection exerted by farmers appears to be a key parameter affecting the fate of new genetic combinations from outcrossing events. Because both natural and human-mediated factors shape evolution in crop populations, understanding evolutionary processes and designing in situ conservation measures requires that biologists and anthropologists work together.

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Section: Biological Traits and Variation In Outcrossing Ratesupporting

confidence: 74%

Section: Biological Traits and Variation In Outcrossing Ratementioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

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High outcrossing rates in fields with mixed sorghum landraces: how are landraces maintained?

et al. 2008

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“…With the exception of rice, the patterns of LD decay observed across populations of the remaining three species exhibit a negative correlation with reported outcrossing frequencies for each species (Figure S1). This negative correlation suggests that the difference is the result of biological variation rather than genotyping strategy (Barnaud et al ., ; Djè et al ., ; Gutierrez and Sprague, ; Hufford et al ., ; Wang et al ., ).…”

Section: Resultsmentioning

confidence: 99%

Optimising the identification of causal variants across varying genetic architectures in crops

Miao

Yang

Schnable

2018

Plant Biotechnology Journal

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Summary Association studies use statistical links between genetic markers and the phenotype variation across many individuals to identify genes controlling variation in the target phenotype. However, this approach, particularly conducted on a genome‐wide scale ( GWAS ), has limited power to identify the genes responsible for variation in traits controlled by complex genetic architectures. In this study, we employ real‐world genotype datasets from four crop species with distinct minor allele frequency distributions, population structures and linkage disequilibrium patterns. We demonstrate that different GWAS statistical approaches provide favourable trade‐offs between power and accuracy for traits controlled by different types of genetic architectures. Farm CPU provides the most favourable outcomes for moderately complex traits while a Bayesian approach adopted from genomic prediction provides the most favourable outcomes for extremely complex traits. We assert that by estimating the complexity of genetic architectures for target traits and selecting an appropriate statistical approach for the degree of complexity detected, researchers can substantially improve the ability to dissect the genetic factors controlling complex traits such as flowering time, plant height and yield component.

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“…The reproductive habits of the two species may also have altered the relative contributions of standing genetic variation, likely to contribute to soft sweeps, and novel mutations, likely to contribute to hard sweeps, to the domestication syndrome in maize and sorghum. Under field conditions outcrossing rates for sorghum have been reported to be in the range of 7–18% (Djè et al ., ; Barnaud et al ., ), while teosinte outcrossing rates can reach ~97% (Hufford et al ., ). The high outcrossing rate of wild teosinte may have allowed tolerance of alleles with a wider range of phenotypic consequences, producing a deeper pool of standing functional genetic variation than would have been present in more inbred wild sorghum plants.…”

Section: Discussionmentioning

confidence: 97%

Largely unlinked gene sets targeted by selection for domestication syndrome phenotypes in maize and sorghum

Lai

Ling

et al. 2018

The Plant Journal

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The domestication of diverse grain crops from wild grasses was a result of artificial selection for a suite of overlapping traits producing changes referred to in aggregate as 'domestication syndrome'. Parallel phenotypic change can be accomplished by either selection on orthologous genes or selection on non-orthologous genes with parallel phenotypic effects. To determine how often artificial selection for domestication traits in the grasses targeted orthologous genes, we employed resequencing data from wild and domesticated accessions of Zea (maize) and Sorghum (sorghum). Many 'classic' domestication genes identified through quantitative trait locus mapping in populations resulting from wild/domesticated crosses indeed show signatures of parallel selection in both maize and sorghum. However, the overall number of genes showing signatures of parallel selection in both species is not significantly different from that expected by chance. This suggests that while a small number of genes will extremely large phenotypic effects have been targeted repeatedly by artificial selection during domestication, the optimization part of domestication targeted small and largely non-overlapping subsets of all possible genes which could produce equivalent phenotypic alterations.

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In situ estimation of outcrossing rate in sorghum landraces using microsatellite markers

Cited by 40 publications

References 24 publications

High outcrossing rates in fields with mixed sorghum landraces: how are landraces maintained?

High outcrossing rates in fields with mixed sorghum landraces: how are landraces maintained?

Optimising the identification of causal variants across varying genetic architectures in crops

Largely unlinked gene sets targeted by selection for domestication syndrome phenotypes in maize and sorghum

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