Literature DB >> 29731761

Soybean Resistance to White Mold: Evaluation of Soybean Germplasm Under Different Conditions and Validation of QTL.

Ramkrishna Kandel1, Charles Y Chen2, Craig R Grau3, Ann E Dorrance4, Jean Q Liu5, Yang Wang6, Dechun Wang7.   

Abstract

Soybean (Glycine max L. Merr.) white mold (SWM), caused by Sclerotinia sclerotiorum (Lib) de Barry), is a devastating fungal disease in the Upper Midwest of the United States and southern Canada. Various methods exist to evaluate for SWM resistance and many quantitative trait loci (QTL) with minor effect governing SWM resistance have been identified in prior studies. This study aimed to predict field resistance to SWM using low-cost and efficient greenhouse inoculation methods and to confirm the QTL reported in previous studies. Three related but independent studies were conducted in the field, greenhouse, and laboratory to evaluate for SWM resistance. The first study evaluated 66 soybean plant introductions (PIs) with known field resistance to SWM using the greenhouse drop-mycelium inoculation method. These 66 PIs were significantly (P < 0.043) different for resistance to SWM. However, year was highly significant (P < 0.00001), while PI x year interaction was not significant (P < 0.623). The second study compared plant mortality (PM) of 35 soybean breeding lines or varieties in greenhouse inoculation methods with disease severity index (DSI) in field evaluations. Moderate correlation (r) between PM under drop-mycelium method and DSI in field trials (r = 0.65, p < 0.0001) was obtained. The PM under spray-mycelium was also correlated significantly with DSI from field trials (r = 0.51, p < 0.0018). Likewise, significant correlation (r = 0.62, p < 0.0001) was obtained between PM across greenhouse inoculation methods and DSI across field trials. These findings suggest that greenhouse inoculation methods could predict the field resistance to SWM. The third study attempted to validate 33 QTL reported in prior studies using seven populations that comprised a total of 392 F4 : 6 lines derived from crosses involving a partially resistant cultivar "Skylla," five partially resistant PIs, and a known susceptible cultivar "E00290." The estimates of broad-sense heritability (h2) ranged from 0.39 to 0.66 in the populations. Of the seven populations, four had h2 estimates that were significantly different from zero (p < 0.05). Single marker analysis across populations and inoculation methods identified 11 significant SSRs (p < 0.05) corresponding to 10 QTL identified by prior studies. Thus, these five new PIs could be used as new sources of resistant alleles to develop SWM resistant commercial cultivars.

Entities:  

Keywords:  Sclerotinia sclerotiorum; Sclerotinia stem rot; drop-mycelium; greenhouse inoculation; prediction of field resistance; soybean white mold; spray-mycelium; validation of QTL for soybean white mold resistance

Year:  2018        PMID: 29731761      PMCID: PMC5921182          DOI: 10.3389/fpls.2018.00505

Source DB:  PubMed          Journal:  Front Plant Sci        ISSN: 1664-462X            Impact factor:   5.753


  6 in total

1.  A new integrated genetic linkage map of the soybean.

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Journal:  Theor Appl Genet       Date:  2004-02-27       Impact factor: 5.699

2.  A soybean transcript map: gene distribution, haplotype and single-nucleotide polymorphism analysis.

Authors:  Ik-Young Choi; David L Hyten; Lakshmi K Matukumalli; Qijian Song; Julian M Chaky; Charles V Quigley; Kevin Chase; K Gordon Lark; Robert S Reiter; Mun-Sup Yoon; Eun-Young Hwang; Seung-In Yi; Nevin D Young; Randy C Shoemaker; Curtis P van Tassell; James E Specht; Perry B Cregan
Journal:  Genetics       Date:  2007-03-04       Impact factor: 4.562

3.  Loci and candidate gene identification for resistance to Sclerotinia sclerotiorum in soybean (Glycine max L. Merr.) via association and linkage maps.

Authors:  Xue Zhao; Yingpeng Han; Yinghui Li; Dongyuan Liu; Mingming Sun; Yue Zhao; Chunmei Lv; Dongmei Li; Zhijiang Yang; Long Huang; Weili Teng; Lijuan Qiu; Hongkun Zheng; Wenbin Li
Journal:  Plant J       Date:  2015-03-21       Impact factor: 6.417

4.  Association mapping of QTLs for sclerotinia stem rot resistance in a collection of soybean plant introductions using a genotyping by sequencing (GBS) approach.

Authors:  Elmer Iquira; Sonah Humira; Belzile François
Journal:  BMC Plant Biol       Date:  2015-01-17       Impact factor: 4.215

5.  Main and epistatic loci studies in soybean for Sclerotinia sclerotiorum resistance reveal multiple modes of resistance in multi-environments.

Authors:  Tara C Moellers; Arti Singh; Jiaoping Zhang; Jae Brungardt; Mehdi Kabbage; Daren S Mueller; Craig R Grau; Ashish Ranjan; Damon L Smith; R V Chowda-Reddy; Asheesh K Singh
Journal:  Sci Rep       Date:  2017-06-15       Impact factor: 4.379

6.  Genome-wide association mapping of resistance to a Brazilian isolate of Sclerotinia sclerotiorum in soybean genotypes mostly from Brazil.

Authors:  Wei Wei; Ana Carolina Oliveira Mesquita; Adriana de A Figueiró; Xing Wu; Shilpa Manjunatha; Daniel P Wickland; Matthew E Hudson; Fernando C Juliatti; Steven J Clough
Journal:  BMC Genomics       Date:  2017-11-07       Impact factor: 3.969

  6 in total
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Journal:  Theor Appl Genet       Date:  2022-07-05       Impact factor: 5.699

2.  Genome-wide association mapping of Sclerotinia sclerotiorum resistance in soybean using whole-genome resequencing data.

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Journal:  BMC Plant Biol       Date:  2020-05-07       Impact factor: 4.215

3.  Integration of genome-wide association studies and gene coexpression networks unveils promising soybean resistance genes against five common fungal pathogens.

Authors:  Fabricio Almeida-Silva; Thiago M Venancio
Journal:  Sci Rep       Date:  2021-12-27       Impact factor: 4.379

Review 4.  Molecular Breeding to Overcome Biotic Stresses in Soybean: Update.

Authors:  Niraj Tripathi; Manoj Kumar Tripathi; Sushma Tiwari; Devendra K Payasi
Journal:  Plants (Basel)       Date:  2022-07-28
  4 in total

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