Evidence map›Paper›PMID 37373152›Full record

ArticleInternational journal of molecular sciences2023

Integrated IBD Analysis, GWAS Analysis and Transcriptome Analysis to Identify the Candidate Genes for White Spot Disease in Maize.

Dong Wang, Yue He, Lei Nie, Shuang Guo, Liang Tu, Xiangyang Guo, Angui Wang, Pengfei Liu, Yunfang Zhu, Xun Wu and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Dong WangCollege of Agriculture, Guizhou University, Guiyang 550006, China.ORCID 0000-0002-6854-4106
Yue HeCollege of Agriculture, Guizhou University, Guiyang 550006, China.
Lei NieCollege of Agriculture, Guizhou University, Guiyang 550006, China.
Shuang GuoCollege of Agriculture, Guizhou University, Guiyang 550006, China.
Liang TuInstitute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China.
Xiangyang GuoInstitute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China.
Angui WangInstitute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China.
Pengfei LiuInstitute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China.
Yunfang ZhuInstitute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China.
Xun WuInstitute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China.
Zehui ChenInstitute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China.
Guizhou Academy of Agricultural Sciences · CNGuizhou University · CN

Funding

Guizhou natural science foundation ZK [2022] yiban236the construction of genetic transformation platform for dryland grain crops in Guizhou province QKZYD [2022] 4011the Guizhou provincial science and technology plan project Qian Kehe Support [2022] key 025, 026, and 029the innovation capacity construction of breeding scientific research platform in Guizhou Province QianKeHeFuQi [2022] 014the natural science foundation 32171981, 32160451 and 32060460
6 · The paper itself

Abstract

Foundation parents (FPs) play an irreplaceable role in maize breeding practices. Maize white spot (MWS) is an important disease in Southwest China that always seriously reduces production. However, knowledge about the genetic mechanism of MWS resistance is limited. In this paper, a panel of 143 elite lines were collected and genotyped by using the MaizeSNP50 chip with approximately 60,000 single nucleotide polymorphisms (SNPs) and evaluated for resistance to MWS among 3 environments, and a genome-wide association study (GWAS) and transcriptome analysis were integrated to reveal the function of the identity-by-descent (IBD) segments for MWS. The results showed that (1) 225 IBD segments were identified only in the FP QB512, 192 were found only in the FP QR273 and 197 were found only in the FP HCL645. (2) The GWAS results showed that 15 common quantitative trait nucleotides (QTNs) were associated with MWS. Interestingly, SYN10137 and PZA00131.14 were in the IBD segments of QB512, and the SYN10137-PZA00131.14 region existed in more than 58% of QR273's descendants. (3) By integrating the GWAS and transcriptome analysis, Zm00001d031875 was found to located in the region of SYN10137-PZA00131.14. These results provide some new insights for the detection of MWS's genetic variation mechanisms.

Indexed as

Genome-Wide Association StudyZea maysGene Expression ProfilingGenotypePhenotypePlant BreedingPolymorphism, Single Nucleotidegenome-wide association studyidentity-by-descent segmentsmaize (Zea mays L.)transcriptome analysiswhite spot disease

Identifiers

PMID37373152
PMCPMC10298249
OpenAlexW4380264170

What OpenQuestion holds

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LicenceCC BY
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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.