Evidence map›Paper›PMID 31980836›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2020

Discovery of two novel and adjacent QTLs on chromosome B02 controlling resistance against bacterial wilt in peanut variety Zhonghua 6.

Huaiyong Luo, Manish K Pandey, Ye Zhi, Huan Zhang, Siliang Xu, Jianbin Guo, Bei Wu, Haiwen Chen, Xiaoping Ren, Xiaojing Zhou and 9 more

Open access · hybridAbstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  5. Review
  6. Positional cloning of a peanut CC-NBS-LRR gene,Frontiers in plant science · 2025
    Article
  7. Optimizing Peanut (Plants (Basel, Switzerland) · 2024
    Review
  8. Article
  9. Designing future peanut: the power of genomics-assisted breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Review
  10. Review
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  12. 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

19 authors at 2 institutions in 2 countries.

Huaiyong LuoKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Manish K PandeyInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.
Ye ZhiAngel Yeast Co., Ltd, Yichang, 443003, Hubei, China.
Huan ZhangKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Siliang XuKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Jianbin GuoKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Bei WuKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Haiwen ChenKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Xiaoping RenKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Xiaojing ZhouKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Yuning ChenKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Weigang ChenKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Li HuangKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Nian LiuKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Hari K SudiniInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.
Rajeev K VarshneyInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India.
Yong LeiKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Boshou LiaoKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China. lboshou@hotmail.com.
Huifang JiangKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China. peanutlab@oilcrops.cn.ORCID http://orcid.org/0000-0003-4087-205X
Chinese Academy of Agricultural Sciences · CNInternational Crops Research Institute for the Semi-Arid Tropics · IN

Funding

Central Public-interest Scientific Institution Basal Research Fund 1610172019008National Natural Science Foundation of China 31461143022National Natural Science Foundation of China 31571713National Natural Science Foundation of China 31601340National Natural Science Foundation of China 31761143005Natural Science Foundation of Hubei Province 2017CFB540Science and Technology Planning Project of Shenzhen Municipality 2017050304010285
6 · The paper itself

Abstract

key messageTwo novel and adjacent genomics and candidate genes for bacterial wilt resistance were identified on chromosome B02 in peanut variety Zhonghua 6 using both traditional QTL mapping and QTL-seq methods. Peanut (Arachis hypogaea) is an important oilseed crop worldwide. Utilization of genetic resistance is the most economic and effective approach to control bacterial wilt, one of the most devastating plant diseases, in peanut production. To accelerate the genetic improvement of bacterial wilt resistance (BWR) in peanut breeding programs, quantitative trait locus (QTL) mapping has been conducted for two resistant varieties. In this context, we deployed linkage mapping as well as sequencing-based mapping approach, QTL-seq, to identify genomic regions and candidate genes for BWR in another highly resistant variety Zhonghua 6. The recombination inbred line population (268 progenies) from the cross Xuhua 13 × Zhonghua 6 was used in BWR evaluation across five environments. QTL mapping using both SSR- and SNP-based genetic maps identified a stable QTL (qBWRB02-1) on chromosome B02 with 37.79-78.86% phenotypic variation explained (PVE) across five environments. The QTL-seq facilitated further dissection of qBWRB02-1 into two adjacent genomic regions, qBWRB02-1-1 (2.81-4.24 Mb) and qBWRB02-1-2 (6.54-8.75 Mb). Mapping of newly developed Kompetitive allele-specific PCR (KASP) markers on the genetic map confirmed their stable expressions across five environments. The effects of qBWRB02-1-1 (49.43-68.86% PVE) were much higher than qBWRB02-1-2 (3.96-6.48% PVE) and other previously reported QTLs. Nineteen putative candidate genes affected by 49 non-synonymous SNPs were identified for qBWRB02-1-1, and ten of them were predicted to code for disease resistance proteins. The major and stable QTL qBWRB02-1-1 and validated KASP markers could be deployed in genomics-assisted breeding (GAB) to develop improved peanut varieties with enhanced BWR.

Indexed as

ArachisChromosome MappingChromosomes, PlantDisease ResistanceGenetic Association StudiesGenome, PlantInbreedingMicrosatellite RepeatsPhenotypePlant DiseasesPolymorphism, Single NucleotideQuantitative Trait LociReproducibility of ResultsTetraploidy

Identifiers

PMID31980836
PMCPMC7064456
OpenAlexW3003141563

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.