Assessing population genetic structure of sorghum landraces from North-western Morocco using allozyme and microsatellite markers

Djè, Y.; Forcioli, Didier; Ater, Mohammed; Lefèbvre, Claude; Vekemans, Xavier

doi:10.1007/s001220051220

Cited by 65 publications

(35 citation statements)

References 21 publications

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“…Cultivated sorghum had a mean regression slope (blog) value of -0.015 (P < 0.001) and a coefficient of determination value (r 2 ) of 0.045, while wild sorghum had a blog value of -0.017 (P < 0.001), and a r 2 value of 0.055. Djè et al (1999). In the wild sorghum gene pool, the mean gene diversity estimated for Kenya across the 24 SSR markers (H e =0.69) was higher than that estimated for a set of accessions selected to represent a wide geographic sampling in Africa (H e =0.59) by Casa et al (2005).…”

Section: Spatial Genetic Structurementioning

confidence: 82%

“…This is especially needed for Africa, the center of origin and primary diversification of sorghum. Attempts have been made to use in situ collected samples but such studies have been limited to separate investigations of genetic diversity and structure in either cultivated sorghum (Djè et al 1998;Djè et al 1999;Ayana et al 2000b;Ayana et al 2001;Ghebru et al 2002;Barnaud et al 2007;Deu et al 2008;Sagnard et al 2008;Barro-Kondombo et al 2010) or its closest wild relatives (Ayana et al 2000a). Our study applied microsatellite markers to analyse cultivated sorghum and its closest wild relatives sampled from different growing regions in Kenya, in order to elucidate patterns of diversity within and among the two congeners, and to shed more light on their genetic and evolutionary relationships.…”

Section: Introductionmentioning

confidence: 99%

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Genetic structure and relationships within and between cultivated and wild sorghum (Sorghum bicolor (L.) Moench) in Kenya as revealed by microsatellite markers

et al. 2010

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Corresponding author e-mail: e_mutegi.1@yahoo.com 2 3 AbstractUnderstanding the extent and partitioning of diversity within and among crop landraces and their wild/ weedy relatives constitutes the first step in conserving and unlocking their genetic potential. This study aimed to characterize the genetic structure and relationships within and between cultivated and wild sorghum at country scale in Kenya, and to elucidate some of the underlying evolutionary mechanisms. We analyzed a total of 439 individuals comprising 329 cultivated and 110 wild sorghums using 24 microsatellite markers. We observed a total of 295 alleles across all loci and individuals, with 257 different alleles being detected in the cultivated sorghum gene pool and 238 alleles in the wild sorghum gene pool.We found that the wild sorghum gene pool harboured significantly more genetic diversity than its domesticated counterpart, a reflection that domestication of sorghum was accompanied by a genetic bottleneck. Overall, our study found close genetic proximity between cultivated sorghum and its wild progenitor, with the extent of crop-wild divergence varying among cultivation regions. The observed genetic proximity may have arisen primarily due to historical and/or contemporary gene flow between the two congeners, with differences in farmers' practices explaining inter-regional gene flow differences. This suggests that deployment of transgenic sorghum in Kenya may lead to escape of transgenes into wildweedy sorghum relatives. In both cultivated and wild sorghum, genetic diversity was found to be structured more along geographical level than agro-climatic level. This indicated that gene flow and genetic drift contributed to shaping the contemporary genetic structure in the two congeners. Spatial autocorrelation analysis revealed a strong spatial genetic structure in both cultivated and wild sorghums at the country scale, which could be explained by medium-to long-distance seed movement.

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Section: Spatial Genetic Structurementioning

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Genetic structure and relationships within and between cultivated and wild sorghum (Sorghum bicolor (L.) Moench) in Kenya as revealed by microsatellite markers

et al. 2010

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“…In Benin, although AFLP markers were used in genetic characterization of sorghum local varieties (Kayodé et al, 2006), it is the first time SSR markers were used for sorghum germplasm analysis. Microsatellite markers when compared with AFLP markers, they are specific, codominant and multi-allelic and well known to allow a good discrimination of closely related sorghum accessions (Djè et al, 1999;Smith et al, 2000;Ghebru et al, 2002).…”

Section: Discussionmentioning

confidence: 99%

Genetic diversity of Sorghum bicolor (L.) Moench landraces from Northwestern Benin as revealed by microsatellite markers

Missihoun¹,

Adoukonou‐Sagbadja²,

Sédah³

et al. 2015

Afr. J. Biotechnol.

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The understanding of genetic diversity within local crop varieties constitutes an important step in the preservation of their genetic potential. The objective of this study was to assess the genetic diversity of sorghum (Sorghum bicolor (L.) Moench) cultivated in the Northwest of Benin and to reveal certain fundamental evolutionary mechanisms. A total of 61 accessions of sorghum landraces belonging to the four identified races in Benin were estimated using 20 microsatellite markers. For all the loci analyzed, 140 polymorphic alleles were detected with a mean value of 7.00 per locus and polymorphic information content (PIC) average value was 0.33 for all the 20 simple sequence repeats (SSRs), suggesting an important genetic diversity within the cultivated sorghum germplasm used. An unweighted pair group method arithmetic average (UPGMA) clustering and principal coordinate analysis (PCoA) based on DICE coefficient revealed three major genetic groups supported by two main components: the botanical race and the morpho-physiological characteristics of the grains (colour and degree of bitterness). It was thus recommended that further research on genetic diversity of sorghum should integrate these genetic parameters for a better preservation of the genetic resources of this important crop in Benin.

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“…According to Morjan and Rieseberg (2004), gene flow < 1 is considered to be low whereas N m = 1 is considered to be moderate. Moderate or relatively low levels of gene flow can significantly reduce loss of genetic diversity (Djè et al, 1999;Aguilar et al, 2008). The high level of gene flow observed may be attributed to an exchange of genetic materials (Bhawna et al, 2014) between farmers leading to low levels of genetic differentiation (Bhawna et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

Assessment of the genetic diversity of dessert watermelon (Citrullus lanatus var. lanatus) landrace collections of South Africa using SSR markers

Mashilo¹,

Shimelis²,

Odindo³

et al. 2017

Aust J Crop Sci

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Dessert watermelon landraces could provide useful germplasm sources for commercial watermelon breeding and/or conservation. This study assessed the genetic diversity present among dessert watermelon landrace collections of South Africa using simple sequence repeat (SSR) markers. Thirty one diverse dessert watermelon landraces were genotyped using 10 polymorphic SSR markers. A total of 94 alleles were amplified among the sampled population. The number of alleles ranged from 2 to 19 with a mean of 9.4 per locus. The number of effective alleles ranged from 1.07 to 9.94 with a mean of 4.61. Observed heterozygosity values ranged from 0.07 to 1.00 with a mean of 0.53. Expected heterozygosity, which measures gene diversity, was 0.66; which partitioned 75, 25 and 0% of the variation within individuals, among individuals and between populations, respectively. The mean gene fixation was 0.18 suggesting high levels of heterozygosity among the collections. The mean polymorphic information content (PIC) of the SSR loci was 0.65 suggesting their value in genetic diversity analysis of watermelon. The collections were allocated into three genetic groups using cluster analysis. The results revealed the presence of genetic diversity among South African dessert watermelon collections. Genetically unique landraces such as SWM-39, SWM-01, SWM-04, SWM-27, SWM-24, SWM-10 and SWM-36 from cluster I; SWM-35, SWM-21, SWM-02, SWM-34, SWM-07 and SWM-31 from cluster II; and SWM-22 and SWM-18 from cluster III were selected based on their high dissimilarity index. These are recommended for further phenotyping using horticultural attributes for effective breeding and strategic conservation.

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Assessing population genetic structure of sorghum landraces from North-western Morocco using allozyme and microsatellite markers

Cited by 65 publications

References 21 publications

Genetic structure and relationships within and between cultivated and wild sorghum (Sorghum bicolor (L.) Moench) in Kenya as revealed by microsatellite markers

Genetic structure and relationships within and between cultivated and wild sorghum (Sorghum bicolor (L.) Moench) in Kenya as revealed by microsatellite markers

Genetic diversity of Sorghum bicolor (L.) Moench landraces from Northwestern Benin as revealed by microsatellite markers

Assessment of the genetic diversity of dessert watermelon (Citrullus lanatus var. lanatus) landrace collections of South Africa using SSR markers

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