Identification and mapping of quantitative trait loci (QTL) conferring resistance to Fusarium graminearum from soybean PI 567301B

Acharya, Bhupendra; Lee, Sung‐Woo; Mian, M. A. Rouf; Jun, Tae-Hwan; McHale, Leah K.; Michel, Andrew P.; Dorrance, Anne E.

doi:10.1007/s00122-015-2473-5

Cited by 31 publications

(54 citation statements)

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“…The population was evaluated in an incomplete block design with three replications. Each replication consisted of multiple subsets of the population and contained F 9:11 families; two parents; and plant introduction (PI) 567301B, a resistant line (Acharya et al, 2015); 'Wyandot' (Ohio State University-Ohio Agricultural Research and Development Center), a moderately resistant cultivar (Acharya et al, 2015); and Williams (Bernard and Lindahl, 1972), a susceptible cultivar (Ellis et al, 2012). The model applied was the same as for the calculation of BLUPs from the P. sojae lesion length tray assay described above with the exception that the C l is the effect of the lth class of entry (Conrad, Sloan, PI 567301B, Wyandot, Williams, and experimental lines).…”

Section: Resistance To Phytophthora Sojae Assaymentioning

confidence: 99%

“…It has been used effectively to manage P. sojae for more than fifty years (Bernard et al, 1957;Grau et al, 2004;Schmitthenner, 1985), but very little is known about resistance to Py. irregulare (Ellis et al, 2013) and F. graminearum (Acharya et al, 2015;Ellis et al, 2012).…”

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confidence: 99%

“…(Acharya et al, 2015;Burnham et al, 2003;Ellis et al, 2012;Stroup, 1989;Wang et al, 2010Wang et al, , 2012aWang et al, , 2012b. Class was treated as fixed, all other effects were treated as random.…”

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confidence: 99%

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High‐Density Mapping of Resistance QTL Toward Phytophthora sojae, Pythium irregulare, and Fusarium graminearum in the Same Soybean Population

et al. 2016

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Phytophthora sojae Kaufm. and Gerd., Pythium irregulare Busiman, and Fusarium graminearum Schwabe [teleomorph: Gibberella zeae (Schwien.) Petch] are important pathogens of soybean [Glycine max (L.) Merr.] and are all capable of causing seed rot, damping‐off, and root rot. The objective of this study was to identify quantitative trait loci (QTL) for resistance to Py. irregulare and to refine previously mapped QTL for resistance to P. sojae and F. graminearum in a larger, more advanced ‘Conrad’ × ‘Sloan’ F9:11 recombinant inbred line population. The population was mapped with 1032 single nucleotide polymorphisms from the SoySNP6K BeadChip and 31 polymerase chain reaction–based molecular markers. Families were evaluated for resistance response to three isolates of P. sojae, one isolate of Py. irregulare, and one isolate of F. graminearum. A total of 10, 2, and 3 QTL and suggestive QTL were found that confer resistance to P. sojae, Py. irregulare, and F. graminearum, respectively. Individual QTL explained 2 to 13.6% of the phenotypic variance. Quantitative trait loci for resistance toward both Py. irregulare and F. graminearum colocalized on chromosome 19. This resistance was contributed by Sloan and was juxtaposed to a QTL for P. sojae with resistance contributed from Conrad. Alleles for resistance to different pathogens contributed from different parents in the same region; the number of unique QTL for each pathogen and the lack of correlation of resistance suggest that different mechanisms are involved in resistance toward P. sojae, Py. irregulare, and F. graminearum.

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Section: Resistance To Phytophthora Sojae Assaymentioning

confidence: 99%

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High‐Density Mapping of Resistance QTL Toward Phytophthora sojae, Pythium irregulare, and Fusarium graminearum in the Same Soybean Population

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“…High quality genome assembly and dense genetic maps are essential tools for mapping to allow identification of loci associated with traits (ICGMC, 2015;Gaur et al, 2015;Zhang et al, 2015). In soybean, for example, a high density genetic map saturated with 2500 molecular markers were developed to precisely map QTLs conferring resistance to Fusarium graminearum on 300 kb region of chromosome 8 (Acharya et al, 2015). Likewise, Zhang et al (2015) developed linkage map containing 8007 markers to identify weeping trait in an ornamental woody plant Prunus mume.…”

Section: Discussionmentioning

confidence: 99%

Identification and analysis of cassava genotype TME3 bacteria artificial chromosome libraries for characterization of the cassava mosaic disease

Kuria¹,

Ateka²,

Miano³

et al. 2016

Afr. J. Biotechnol.

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Cassava is an economically important crop in sub-Saharan Africa; however, its yield potential is constrained by cassava mosaic disease (CMD) infection. Classical genetics and biotechnology are being harnessed to overcome the disease and secure yields for farmers. The CMD2 resistance locus flanked by three simple sequence repeats (SSR) markers and one sequence characterized amplified region (SCAR) marker were mapped in West African genotypes and shown to impart qualitative resistant to all species of CMGs. However, gene(s) associated with the CMD2 locus and their mode of actions remains unknown. In an effort to discover gene(s) located in CMD2 locus region, TME3 BAC collections were screened for the presence of CMD2 flanking markers. CMD susceptible and resistant cassava genotypes were found to contain 100% of the markers flanking CMD2 locus. SNPs and nucleotide deletions were identified within the marker sequences but there was no evidence of trait and marker association. All the SSR markers flanking CMD2, and the more recently characterized CMD3 loci were to be located on chromosome 12. Through BAC pools library hybridization with marker probes, 130 BACs were identified, but only 23 BACs contained at least CMD2 specific two markers. Whole BAC sequencing identified five clones that mapped to the marker regions. BAC29 assembled into a 100 kb contig and encoded tandem repeats of three full length R genes (3.5 kb) and two partial repeats. These R genes were conserved and highly expressed in CMD susceptible and CMD resistant cassava genotypes. Promoter sequences derived from R genes showed similar transient expression of GUS as 35S promoter. On cassava genome V6.1 BAC29 sequences were mapped to chromosome 16, eliminating their potential role in CMD resistant.

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“…Only one isolate was included in the study, as little pathogenic variation exists among F. graminearum isolates in Ohio (Broders et al, 2007). 'Wyandot' (Ohio Agricultural Research and Development Center, 2006) and PI 567301B were included in each block as susceptible and resistant checks, respectively (Acharya et al, 2015). Then, 5 mL of sterile water was added to plates and macroconidia were dislodged with a sterile glass rod and filtered through a cheesecloth to remove any mycelia.…”

Section: Isolate Specificitymentioning

confidence: 99%

Phenotypic Characterization of a Major Quantitative Disease Resistance Locus for Partial Resistance to Phytophthora sojae

et al. 2019

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Major quantitative disease resistance loci (QDRLs) are rare in the Phytophthora sojae (Kaufmann and Gerdemann)–soybean [Glycine max (L). Merr.] pathosystem. A major QDRL on chromosome 18 (QDRL‐18) was identified in PI 427105B and PI 427106. QDRL‐18 represents a valuable resistance source for breeding programs. Thus, our objectives were to determine its isolate specificity and measure its effect on yield and resistance to both P. sojae and other soybean pathogens. We characterized near isogenic lines (NILs) developed from F7 recombinant inbred lines heterozygous at QDRL‐18; NILs represent introgressions from PI 427105B, PI 427106, and susceptible ‘OX20‐8’. The introgressions from PI 427105B and PI 427106 increased resistance to P. sojae by 11 to 20% and 35 to 40%, respectively, based on laboratory and greenhouse assays, and increased yield by 13 to 29% under disease conditions. The resistant introgression from PI 427105B was also effective against seven P. sojae isolates with no isolate specificity detected. Based on quantitative polymerase chain reaction assays, NILs with the susceptible introgression had significantly higher relative levels of P. sojae colonization 48 h after inoculation. No pleiotropic effects for resistance to either soybean cyst nematode or Fusarium graminearum were detected. This information improves soybean breeders’ ability to make informed decisions regarding the deployment of QDRL‐18 in their respective breeding programs.

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Identification and mapping of quantitative trait loci (QTL) conferring resistance to Fusarium graminearum from soybean PI 567301B

Cited by 31 publications

References 84 publications

High‐Density Mapping of Resistance QTL Toward Phytophthora sojae, Pythium irregulare, and Fusarium graminearum in the Same Soybean Population

High‐Density Mapping of Resistance QTL Toward Phytophthora sojae, Pythium irregulare, and Fusarium graminearum in the Same Soybean Population

Identification and analysis of cassava genotype TME3 bacteria artificial chromosome libraries for characterization of the cassava mosaic disease

Phenotypic Characterization of a Major Quantitative Disease Resistance Locus for Partial Resistance to Phytophthora sojae

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