Segregation distortion in a region containing a male-sterility, female-sterility locus in soybean

Baumbach, Jordan; Rogers, Joshua; Slattery, Rebecca; Narayanan, Narayanan N.; Xu, Min; Palmer, Reid G.; Bhattacharyya, Madan K.; Sandhu, Devinder

doi:10.1016/j.plantsci.2012.07.003

Cited by 21 publications

(17 citation statements)

References 24 publications

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“…With the development of molecular markers, SD has been widely reported in several plant species, particularly in interspecific crosses for genetic mapping, such as rice (Shanmugavadivel et al, 2013), wheat (Takumi et al, 2013; Adamski et al, 2014), chickpea (Ravikumar et al, 2013), Arabidopsis (Leppala et al, 2013), coffee (Gartner et al, 2013), soybean (Baumbach et al, 2012), potato (Manrique-Carpintero et al, 2016), Brassica rapa (Kitashiba et al, 2016), and Populus deltoids (Zhou et al, 2015). SD has previously been reported in interspecific populations of cotton (Guo et al, 2007; Blenda et al, 2012; Byers et al, 2012; Liang et al, 2012; Yu et al, 2013; Diouf et al, 2014; Zhang et al, 2014; Li et al, 2016), intraspecific populations of G. barbadense (Wang et al, 2013), intraspecific populations of G. hirsutum (Lin et al, 2009; Zhang et al, 2012, 2016; Ning et al, 2014), and intraspecific populations of G. arboreum (Li et al, 2007); however, the genetic mechanism of SD in cotton remains unclear.…”

Section: Discussionmentioning

confidence: 99%

Identification and Characterization of Segregation Distortion Loci on Cotton Chromosome 18

et al. 2017

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Segregation distortion is commonly detected via genetic mapping and this phenomenon has been reported in many species. However, the genetic causes of the segregation distortion regions in a majority of species are still unclear. To genetically dissect the SD on chromosome 18 in cotton, eight reciprocal backcross populations and two F2 populations were developed. Eleven segregation distortion loci (SDL) were detected in these ten populations. Comparative analyses among populations revealed that SDL18.1 and SDL18.9 were consistent with male gametic competition; whereas SDL18.4 and SDL18.11 reflected female gametic selection. Similarly, other SDL could reflect zygotic selection. The surprising finding was that SDL18.8 was detected in all populations, and the direction was skewed towards heterozygotes. Consequently, zygotic selection or heterosis could represent the underlying genetic mechanism for SDL18.8. Among developed introgression lines, SDL18.8 was introgressed as a heterozygote, further substantiating that a heterozygote state was preferred under competition. Six out of 11 SDL on chromosome 18 were dependent on the cytoplasmic environment. These results indicated that different SDL showed varying responses to the cytoplasmic environment. Overall, the results provided a novel strategy to analyze the molecular mechanisms, which could be further exploited in cotton interspecific breeding programs.

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Section: Discussionmentioning

confidence: 99%

Identification and Characterization of Segregation Distortion Loci on Cotton Chromosome 18

et al. 2017

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“…Future studies focusing on characterization of the candidate genes may result in cloning of these genes, which could shed light on the reproductive pathway The highlighted sections in the bars represent physical regions where the genes are located (Kato and Palmer 2003;Palmer et al 2008;Slattery et al 2011;Baumbach et al 2012;Speth et al 2014). For chromosomes 02 and 14, two bars are drawn to show overlaps between the regions containing two closely located genes.…”

Section: Discussionmentioning

confidence: 99%

“…st_A06-2/6 was identified in a transformation study in soybean and was mapped to MLG D1a (Baumbach et al 2012).…”

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confidence: 99%

“…Several malesterile, female-sterile mutants have been identified and studied in soybean (Table 1) (Owen 1928;Hadley and Starnes 1964;Palmer 1974;Palmer and Kaul 1983;Ilarslan et al 1997;Palmer and Horner 2000;Palmer et al 2008;Slattery et al 2011;Baumbach et al 2012). Some of these mutants have been mapped to locations on soybean chromosomes (Kato and Palmer 2003;Palmer et al 2008;Slattery et al 2011;Baumbach et al 2012).…”

Section: Introductionmentioning

confidence: 99%

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Molecular mapping of five soybean genes involved in male-sterility, female-sterility

Speth

Rogers

Boonyoo

et al. 2015

Genome

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In soybean, asynaptic and desynaptic mutants lead to abnormal meiosis and fertility reduction. Several male-sterile, female-sterile mutants have been identified and studied in soybean, however, some of these mutants have not been mapped to locations on soybean chromosomes. The objectives of this study were to molecularly map five male-sterile, female-sterile genes (st2, st4, st5, st6, and st7) in soybean and compare the map locations of these genes with already mapped sterility genes. Microsatellite markers were used in bulked segregant analyses to locate all five male-sterile, female-sterile genes to soybean chromosomes, and markers from the corresponding chromosomes were used on F2 populations to generate genetic linkage maps. The st2, st4, st5, st6, and st7 genes were located on molecular linkage group (MLG) B1 (chromosome 11), MLG D1a (chromosome 01), MLG F (chromosome 13), MLG B2 (chromosome 14), and D1b (chromosome 02), respectively. The st2, st4, st5, st6, and st7 genes were flanked to 10.3 (∼ 399 kb), 6.3 (∼ 164 kb), 3.9 (∼ 11.8 Mb), 11.0 (∼ 409 kb), and 5.3 cM (∼ 224 kb), and the flanked regions contained 57, 17, 362, 52, and 17 predicted genes, respectively. Future characterization of candidate genes should facilitate identification of the male- and female-fertility genes, which may provide vital insights on structure and function of genes involved in the reproductive pathway in soybean.

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“…This is because gametic selection caused by epistatic SDL is often reported [21], [23]–[24], [33]. In this case, multi-QTL mapping approach can be set up by incorporating viability coefficients of male gametes ( u , v and x ) into QTL mapping approach.…”

Section: Discussionmentioning

confidence: 99%

Multi-QTL Mapping for Quantitative Traits Using Epistatic Distorted Markers

2013

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The interaction between segregation distortion loci (SDL) has been often observed in all kinds of mapping populations. However, little has been known about the effect of epistatic SDL on quantitative trait locus (QTL) mapping. Here we proposed a multi-QTL mapping approach using epistatic distorted markers. Using the corrected linkage groups, epistatic SDL was identified. Then, these SDL parameters were used to correct the conditional probabilities of QTL genotypes, and these corrections were further incorporated into the new QTL mapping approach. Finally, a set of simulated datasets and a real data in 304 mouse F2 individuals were used to validate the new method. As compared with the old method, the new one corrects genetic distance between distorted markers, and considers epistasis between two linked SDL. As a result, the power in the detection of QTL is higher for the new method than for the old one, and significant differences for estimates of QTL parameters between the two methods were observed, except for QTL position. Among two QTL for mouse weight, one significant difference for QTL additive effect between the above two methods was observed, because epistatic SDL between markers C66 and T93 exists (P = 2.94e-4).

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Segregation distortion in a region containing a male-sterility, female-sterility locus in soybean

Cited by 21 publications

References 24 publications

Identification and Characterization of Segregation Distortion Loci on Cotton Chromosome 18

Identification and Characterization of Segregation Distortion Loci on Cotton Chromosome 18

Molecular mapping of five soybean genes involved in male-sterility, female-sterility

Multi-QTL Mapping for Quantitative Traits Using Epistatic Distorted Markers

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