Evidence map›Paper›PMID 35346053›Full record

ArticleBMC plant biology2022

Identification and validation of QTLs for kernel number per spike and spike length in two founder genotypes of wheat.

Xin Xu, Xiaojun Li, Dehua Zhang, Jishun Zhao, Xiaoling Jiang, Haili Sun, Zhengang Ru

Abstract read
In one paragraph

Article in BMC plant biology, 2022. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

7 authors.

Xin XuSchool of Life Sciences and Basic Medicine, Xinxiang University, Xinxiang, 453003, China.
Xiaojun LiSchool of Life Science and Technology, Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Henan Institute of Science and Technology, Xinxiang, 453003, China. lixiaojun227@163.com.
Dehua ZhangSchool of Life Science and Technology, Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Henan Institute of Science and Technology, Xinxiang, 453003, China.
Jishun ZhaoSchool of Life Science and Technology, Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Henan Institute of Science and Technology, Xinxiang, 453003, China.
Xiaoling JiangSchool of Life Science and Technology, Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Henan Institute of Science and Technology, Xinxiang, 453003, China.
Haili SunSchool of Life Science and Technology, Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Henan Institute of Science and Technology, Xinxiang, 453003, China.
Zhengang RuSchool of Life Science and Technology, Collaborative Innovation Center of Modern Biological Breeding, Henan Province, Henan Institute of Science and Technology, Xinxiang, 453003, China. ruzg58@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKernel number per spike (KNS) and spike length (SL) are important spike-related traits in wheat variety improvement. Discovering genetic loci controlling these traits is necessary to elucidate the genetic basis of wheat yield traits and is very important for marker-assisted selection breeding.

resultsIn the present study, we used a recombinant inbred line population with 248 lines derived from the two founder genotypes of wheat, Bima4 and BainongAK58, to construct a high-density genetic map using wheat 55 K genotyping assay. The final genetic linkage map consists of 2356 bin markers (14,812 SNPs) representing all 21 wheat chromosomes, and the entire map spanned 4141.24 cM. A total of 7 and 18 QTLs were identified for KNS and SL, respectively, and they were distributed on 11 chromosomes. The allele effects of the flanking markers for 12 stable QTLs, including four QTLs for KNS and eight QTLs for SL, were estimated based on phenotyping data collected from 15 environments in a diverse wheat panel including 384 elite cultivars and breeding lines. The positive alleles at seven loci, namely, QKns.his-7D2-1, QKns.his-7D2-2, QSl.his-4A-1, QSl.his-5D1, QSl.his-4D2-2, QSl.his-5B and QSl.his-5A-2, significantly increased KNS or SL in the diverse panel, suggesting they are more universal in their effects and are valuable for gene pyramiding in breeding programs. The transmission of Bima4 allele indicated that the favorite alleles at five loci (QKns.his-7D2-1, QSl.his-5A-2, QSl.his-2D1-1, QSl.his-3A-2 and QSl.his-3B) showed a relatively high frequency or an upward trend following the continuity of generations, suggesting that they underwent rigorous selection during breeding. At two loci (QKns.his-7D2-1 and QSl.his-5A-2) that the positive effects of the Bima4 alleles have been validated in the diverse panel, two and one kompetitive allele-specific PCR (KASP) markers were further developed, respectively, and they are valuable for marker-assisted selection breeding.

conclusionImportant chromosome regions controlling KNS and SL were identified in the founder parents. Our results are useful for knowing the molecular mechanisms of founder parents and future molecular breeding in wheat.

Indexed as

Chromosomes, PlantTriticumChromosome MappingGenotypePlant BreedingKASP markersKernel number per spikeQTLSpike length

Identifiers

PMID35346053
PMCPMC8962171

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.