Evidence map›Paper›PMID 25903750›Full record

ArticleBMC genomics2015

SNP identification and marker assay development for high-throughput selection of soybean cyst nematode resistance.

Zi Shi, Shiming Liu, James Noe, Prakash Arelli, Khalid Meksem, Zenglu Li

Abstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Allele-tagged TaqManMolecular biology reports · 2024
    Article
  7. The elite variations in germplasms for soybean breeding.Molecular breeding : new strategies in plant improvement · 2023
    Article
  8. Identification of resistant sources fromFrontiers in plant science · 2023
    Article
  9. Review
  10. Breeding for disease resistance in soybean: a global perspective.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. TheFrontiers in plant science · 2022
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zi ShiCenter for Applied Genetic Technologies & Dep. of Crop and Soil Sciences, University of Georgia, Athens, GA, 30602, USA. shizi@uga.edu.
Shiming LiuDepartment of Plant, Soil and Agriculture Systems, Southern Illinois University, Carbondale, IL, 62901, USA. smliu@siu.edu.
James NoeDepartment of Plant Pathology, University of Georgia, Athens, GA, 30602, USA. jpnoe@uga.edu.
Prakash ArelliUSDA-ARS-SEA, Jackson, TN, 38301, USA. Prakash.Arelli@ars.usda.gov.
Khalid MeksemDepartment of Plant, Soil and Agriculture Systems, Southern Illinois University, Carbondale, IL, 62901, USA. meksemk@siu.edu.
Zenglu LiCenter for Applied Genetic Technologies & Dep. of Crop and Soil Sciences, University of Georgia, Athens, GA, 30602, USA. zli@uga.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSoybean cyst nematode (SCN) is the most economically devastating pathogen of soybean. Two resistance loci, Rhg1 and Rhg4 primarily contribute resistance to SCN race 3 in soybean. Peking and PI 88788 are the two major sources of SCN resistance with Peking requiring both Rhg1 and Rhg4 alleles and PI 88788 only the Rhg1 allele. Although simple sequence repeat (SSR) markers have been reported for both loci, they are linked markers and limited to be applied in breeding programs due to accuracy, throughput and cost of detection methods. The objectives of this study were to develop robust functional marker assays for high-throughput selection of SCN resistance and to differentiate the sources of resistance.

resultsBased on the genomic DNA sequences of 27 soybean lines with known SCN phenotypes, we have developed Kompetitive Allele Specific PCR (KASP) assays for two Single nucleotide polymorphisms (SNPs) from Glyma08g11490 for the selection of the Rhg4 resistance allele. Moreover, the genomic DNA of Glyma18g02590 at the Rhg1 locus from 11 soybean lines and cDNA of Forrest, Essex, Williams 82 and PI 88788 were fully sequenced. Pairwise sequence alignment revealed seven SNPs/insertion/deletions (InDels), five in the 6th exon and two in the last exon. Using the same 27 soybean lines, we identified one SNP that can be used to select the Rhg1 resistance allele and another SNP that can be employed to differentiate Peking and PI 88788-type resistance. These SNP markers have been validated and a strong correlation was observed between the SNP genotypes and reactions to SCN race 3 using a panel of 153 soybean lines, as well as a bi-parental population, F5-derived recombinant inbred lines (RILs) from G00-3213xLG04-6000.

conclusionsThree functional SNP markers (two for Rhg1 locus and one for Rhg4 locus) were identified that could provide genotype information for the selection of SCN resistance and differentiate Peking from PI 88788 source for most germplasm lines. The robust KASP SNP marker assays were developed. In most contexts, use of one or two of these markers is sufficient for high-throughput marker-assisted selection of plants that will exhibit SCN resistance.

Indexed as

Genes, PlantPolymorphism, Single NucleotideAllelesAnimalsDisease ResistanceGenetic MarkersGenotypeGlycine maxNematodaPhenotypePlant DiseasesPlant ProteinsQuantitative Trait LociGenetic MarkersPlant Proteins

Identifiers

PMID25903750
PMCPMC4407462

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.