Evidence map›Paper›PMID 33261554›Full record

ArticleBMC genomics2020

Intricate genetic variation networks control the adventitious root growth angle in apple.

Caixia Zheng, Fei Shen, Yi Wang, Ting Wu, Xuefeng Xu, Xinzhong Zhang, Zhenhai Han

Abstract read
In one paragraph

Article in BMC genomics, 2020. 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. Genetic variations inMolecular breeding : new strategies in plant improvement · 2024
    Article
  3. Identification and characterization ofFrontiers in plant science · 2024
    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.

Caixia ZhengCollege of Horticulture, China Agricultural University, Beijing, 100193, China.
Fei ShenCollege of Horticulture, China Agricultural University, Beijing, 100193, China.
Yi WangCollege of Horticulture, China Agricultural University, Beijing, 100193, China.
Ting WuCollege of Horticulture, China Agricultural University, Beijing, 100193, China.
Xuefeng XuCollege of Horticulture, China Agricultural University, Beijing, 100193, China.
Xinzhong ZhangCollege of Horticulture, China Agricultural University, Beijing, 100193, China. zhangxinzhong999@126.com.
Zhenhai HanCollege of Horticulture, China Agricultural University, Beijing, 100193, China. rschan@cau.edu.cn.

Funding

Beijing Municipal Education Commission CEFF-PXM2019_014207_ 000099Construction of Beijing Science an Technology innovation and Service Capacity in Top Subjects CEFF-PXM2019_014207_000032Modern Agricultural Industry Technology System CARS-27National Science Foundation 31772262
6 · The paper itself

Abstract

backgroundThe root growth angle (RGA) typically determines plant rooting depth, which is significant for plant anchorage and abiotic stress tolerance. Several quantitative trait loci (QTLs) for RGA have been identified in crops. However, the underlying mechanisms of the RGA remain poorly understood, especially in apple rootstocks. The objective of this study was to identify QTLs, validate genetic variation networks, and develop molecular markers for the RGA in apple rootstock.

resultsBulked segregant analysis by sequencing (BSA-seq) identified 25 QTLs for RGA using 1955 hybrids of the apple rootstock cultivars 'Baleng Crab' (Malus robusta Rehd., large RGA) and 'M9' (M. pumila Mill., small RGA). With RNA sequencing (RNA-seq) and parental resequencing, six major functional genes were identified and constituted two genetic variation networks for the RGA. Two single nucleotide polymorphisms (SNPs) of the MdLAZY1 promoter damaged the binding sites of MdDREB2A and MdHSFB3, while one SNP of MdDREB2A and MdIAA1 affected the interactions of MdDREB2A/MdHSFB3 and MdIAA1/MdLAZY1, respectively. A SNP within the MdNPR5 promoter damaged the interaction between MdNPR5 and MdLBD41, while one SNP of MdLBD41 interrupted the MdLBD41/MdbHLH48 interaction that affected the binding ability of MdLBD41 on the MdNPR5 promoter. Twenty six SNP markers were designed on candidate genes in each QTL interval, and the marker effects varied from 0.22°-26.11°.

conclusionsSix diagnostic markers, SNP592, G122, b13, Z312, S1272, and S1288, were used to identify two intricate genetic variation networks that control the RGA and may provide new insights into the accuracy of the molecular markers. The QTLs and SNP markers can potentially be used to select deep-rooted apple rootstocks.

Indexed as

MalusGenetic MarkersPolymorphism, Single NucleotideQuantitative Trait LociGenetic MarkersBSA-seqGenetic variationMalusQTLsRGARNA-seq

Identifiers

PMID33261554
PMCPMC7709433

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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.