Evidence map›Paper›PMID 30111287›Full record

ArticleBMC plant biology2018

Genetic analysis of seedling root traits reveals the association of root trait with other agronomic traits in maize.

Chuanli Ju, Wei Zhang, Ya Liu, Yufeng Gao, Xiaofan Wang, Jianbing Yan, Xiaohong Yang, Jiansheng Li

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pinpointing genomic regions associated with root system architecture in rice through an integrative meta-analysis approach.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Pooled it
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  10. Identification of Zinc Efficiency-Associated Loci (International journal of molecular sciences · 2022
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  17. Root Growth Adaptation to Climate Change in Crops.Frontiers in plant science · 2020
    Review
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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

8 authors at 4 institutions in 1 country.

Chuanli JuCollege of Life Sciences, Capital Normal University, Beijing, 100048, China. chlju@cnu.edu.cn.
Wei ZhangNational Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
Ya LiuMaize Research Center, Beijing Academy of Agricultural and Forestry Sciences, Beijing, 100097, China.
Yufeng GaoNational Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
Xiaofan WangCollege of Life Sciences, Capital Normal University, Beijing, 100048, China.
Jianbing YanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Xiaohong YangNational Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
Jiansheng LiNational Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China. lijiansheng@cau.edu.cn.
China Agricultural University · CNCapital Normal University · CNBeijing Academy of Agricultural and Forestry Sciences · CNHuazhong Agricultural University · CN

Funding

National Natural Science Foundation of China 31770296Natural Science Foundation of Beijing Municipality 6172002
6 · The paper itself

Abstract

backgroundRoot systems play important roles in crop growth and stress responses. Although genetic mechanism of root traits in maize (Zea mays L.) has been investigated in different mapping populations, root traits have rarely been utilized in breeding programs. Elucidation of the genetic basis of maize root traits and, more importantly, their connection to other agronomic trait(s), such as grain yield, may facilitate root trait manipulation and maize germplasm improvement. In this study, we analyzed genome-wide genetic loci for maize seedling root traits at three time-points after seed germination to identify chromosomal regions responsible for both seedling root traits and other agronomic traits in a recombinant inbred line (RIL) population (Zong3 × Yu87-1).

resultsEight seedling root traits were examined at 4, 9, and 14 days after seed germination, and thirty-six putative quantitative trait loci (QTLs), accounting for 9.0-23.2% of the phenotypic variation in root traits, were detected. Co-localization of root trait QTLs was observed at, but not between, the three time-points. We identified strong or moderate correlations between root traits controlled by each co-localized QTL region. Furthermore, we identified an overlap in the QTL locations of seedling root traits examined here and six other traits reported previously in the same RIL population, including grain yield-related traits, plant height-related traits, and traits in relation to stress responses. Maize chromosomal bins 1.02-1.03, 1.07, 2.06-2.07, 5.05, 7.02-7.03, 9.04, and 10.06 were identified QTL hotspots for three or four more traits in addition to seedling root traits.

conclusionsOur identification of co-localization of root trait QTLs at, but not between, each of the three time-points suggests that maize seedling root traits are regulated by different sets of pleiotropic-effect QTLs at different developmental stages. Furthermore, the identification of QTL hotspots suggests the genetic association of seedling root traits with several other traits and reveals maize chromosomal regions valuable for marker-assisted selection to improve root systems and other agronomic traits simultaneously.

Indexed as

Plant BreedingQuantitative Trait LociEdible GrainPhenotypePlant RootsSeedlingsZea maysAgronomic traitsGenetic associationMaizeQTL mappingSeedling root traits

Identifiers

PMID30111287
PMCPMC6094888
OpenAlexW2886051507

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.