Evidence map›Paper›PMID 36217123›Full record

ArticleBMC plant biology2022

Combining QTL mapping and RNA-Seq Unravels candidate genes for Alfalfa (Medicago sativa L.) leaf development.

Xueqian Jiang, Xijiang Yang, Fan Zhang, Tianhui Yang, Changfu Yang, Fei He, Ting Gao, Chuan Wang, Qingchuan Yang, Zhen Wang and 1 more

Open access · goldAbstract 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
8.2field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

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  17. OMICS in Fodder Crops: Applications, Challenges, and Prospects.Current issues in molecular biology · 2022
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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.

Xueqian Jiang *Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Xijiang Yang *Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Fan ZhangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Tianhui YangInstitute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Ningxia, China.
Changfu YangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Fei HeInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Ting GaoInstitute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Ningxia, China.
Chuan WangInstitute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Ningxia, China.
Qingchuan YangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Zhen WangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China. kangjunmei@caas.cn.
Junmei KangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China. kangjunmei@caas.cn.
Chinese Academy of Agricultural Sciences · CNNingxia Academy of Agriculture and Forestry Sciences · CN

Funding

Agricultural Science and Technology Innovation Program ASTIP-IAS14Earmarked Fund for China Agriculture Research System CARS-35-04key research project of Ningxia province for alfalfa breeding program 2019NYY203National Natural Science Foundation of China 32071868
6 · The paper itself

Abstract

backgroundLeaf size affects crop canopy morphology and photosynthetic efficiency, which can influence forage yield and quality. It is of great significance to mine the key genes controlling leaf development for breeding new alfalfa varieties. In this study, we mapped leaf length (LL), leaf width (LW), and leaf area (LA) in an F1 mapping population derived from a cultivar named ZhongmuNo.1 with larger leaf area and a landrace named Cangzhou with smaller leaf area.

resultsThis study showed that the larger LW was more conducive to increasing LA. A total of 24 significant quantitative trait loci (QTL) associated with leaf size were identified on both the paternal and maternal linkage maps. Among them, nine QTL explained about 11.50-22.45% phenotypic variation. RNA-seq analysis identified 2,443 leaf-specific genes and 3,770 differentially expressed genes. Combining QTL mapping, RNA-seq alalysis, and qRT-PCR, we identified seven candidate genes associated with leaf development in five major QTL regions.

conclusionOur study will provide a theoretical basis for marker-assisted breeding and lay a foundation for further revealing molecular mechanism of leaf development in alfalfa.

Indexed as

Medicago sativaQuantitative Trait LociPlant BreedingPlant LeavesRNA-SeqAlfalfaLeaf developmentQTL mappingRNA-seq

Identifiers

PMID36217123
PMCPMC9552516
OpenAlexW4304136290

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.