Evidence map›Paper›PMID 37328945›Full record

SynthesisThe plant genome2023

Meta-analysis of the quantitative trait loci associated with agronomic traits, fertility restoration, disease resistance, and seed quality traits in pigeonpea (Cajanus cajan L.).

Priyanka Halladakeri, Santosh Gudi, Sabina Akhtar, Gurjeet Singh, Dinesh Kumar Saini, Harshavardan J Hilli, Amar Sakure, Sneha Macwana, Reyazul Rouf Mir

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in The plant genome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
9.1field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Priyanka HalladakeriDepartment of Genetics and Plant Breeding, Anand Agricultural University, Gujarat, India.
Santosh GudiDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India.ORCID 0000-0003-1885-8139
Sabina AkhtarCollege of Education, American University in the Emirates, Dubai, UAE.
Gurjeet SinghDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India.
Dinesh Kumar SainiDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India.
Harshavardan J HilliDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India.
Amar SakureDepartment of Agricultural Biotechnology, Anand Agricultural University, Gujarat, India.
Sneha MacwanaDepartment of Genetics and Plant Breeding, Anand Agricultural University, Gujarat, India.
Reyazul Rouf MirDivision of Genetics and Plant Breeding, Faculty of Agriculture, SKUAST-Kashmir, Wadura, India.ORCID 0000-0002-3196-211X
Punjab Agricultural University · INAnand Agricultural University · INAmerican University in the Emirates · AESher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A meta-analysis of quantitative trait loci (QTLs), associated with agronomic traits, fertility restoration, disease resistance, and seed quality traits was conducted for the first time in pigeonpea (Cajanus cajan L.). Data on 498 QTLs was collected from 9 linkage mapping studies (involving 21 biparental populations). Of these 498, 203 QTLs were projected onto "PigeonPea_ConsensusMap_2022," saturated with 10,522 markers, which resulted in the prediction of 34 meta-QTLs (MQTLs). The average confidence interval (CI) of these MQTLs (2.54 cM) was 3.37 times lower than the CI of the initial QTLs (8.56 cM). Of the 34 MQTLs, 12 high-confidence MQTLs with CI (≤5 cM) and a greater number of initial QTLs (≥5) were utilized to extract 2255 gene models, of which 105 were believed to be associated with different traits under study. Furthermore, eight of these MQTLs were observed to overlap with several marker-trait associations or significant SNPs identified in previous genome-wide association studies. Furthermore, synteny and ortho-MQTL analyses among pigeonpea and four related legumes crops, such as chickpea, pea, cowpea, and French bean, led to the identification of 117 orthologous genes from 20 MQTL regions. Markers associated with MQTLs can be employed for MQTL-assisted breeding as well as to improve the prediction accuracy of genomic selection in pigeonpea. Additionally, MQTLs may be subjected to fine mapping, and some of the promising candidate genes may serve as potential targets for positional cloning and functional analysis to elucidate the molecular mechanisms underlying the target traits.

Indexed as

CajanusQuantitative Trait LociDisease ResistanceGenome-Wide Association StudyPlant BreedingSeeds

Identifiers

PMID37328945
PMCPMC12807056
OpenAlexW4381046903

What Socratic 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 Socratic graph.