Evidence map›Paper›PMID 24840824›Full record

ArticleJournal of genetics2014

Dynamic QTL and epistasis analysis on seedling root traits in upland cotton.

Qingzhi Liang, Pengbo Li, Cheng Hu, Hua Hua, Zhaohu Li, Yihua Rong, Kunbo Wang, Jinping Hua

Abstract read
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In one paragraph

Article in Journal of genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Identification and characterization of candidate genes for primary root length in Asiatic cotton (Gossypium arboreum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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  6. Temporal genetic patterns of root growth in Brassica napus L. revealed by a low-cost, high-efficiency hydroponic system.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
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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.

Qingzhi LiangCollege of Agronomy and Biotechnology, Key Laboratory of Crop Heterosis and Utilization of Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, People's Republic of China. jinping_hua@cau.edu.cn.
Pengbo Li
Cheng Hu
Hua Hua
Zhaohu Li
Yihua Rong
Kunbo Wang
Jinping Hua

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Roots are involved in acquisition of water and nutrients, as well as in providing structural support to plant. The root system provides a dynamic model for developmental analysis. Here, we investigated quantitative trait loci (QTL), dynamic conditional QTL and epistatic interactions for seedling root traits using an upland cotton F2 population and a constructed genetic map. Totally, 37 QTLs for root traits, 35 dynamic conditional QTLs based on the net increased amount of root traits (root tips, forks, length, surface area and volume) (i) after transplanting 10 days compared to 5 days, and (ii) after transplanting 15 days to 10 days were detected. Obvious dynamic characteristic of QTL and dynamic conditional QTL existed at different developmental stages of root because QTL and dynamic conditional QTL had not been detected simultaneously. We further confirmed that additive and dominance effects of QTL qRSA-chr1-1 in interval time 5 to 10 DAT (days after transplant) offset the effects in 10 to 15 DAT. Lots of two-locus interactions for root traits were identified unconditionally or dynamically, and a few epistatic interactions were only detected simultaneously in interval time of 5-10 DAT and 10-15 DAT, suggesting different interactive genetic mechanisms on root development at different stages. Dynamic conditional QTL and epistasis effects provide new attempts to understand the dynamics of roots and provide clues for root architecture selection in upland cotton.

Indexed as

Epistasis, GeneticQuantitative Trait LociChromosome MappingGenetic LinkageGossypiumPhenotypePlant RootsQuantitative Trait, HeritableSeedlings

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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.