Evidence map›Paper›PMID 37047112›Full record

SynthesisInternational journal of molecular sciences2023

Genome-Wide Meta-Analysis of QTLs Associated with Root Traits and Implications for Maize Breeding.

Krishna Sai Karnatam, Gautam Chhabra, Dinesh Kumar Saini, Rajveer Singh, Gurwinder Kaur, Umesh Preethi Praba, Pankaj Kumar, Simran Goyal, Priti Sharma, Rumesh Ranjan and 3 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

13 authors.

Krishna Sai KarnatamSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141001, India.ORCID 0000-0001-7635-7602
Gautam ChhabraSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141001, India.ORCID 0000-0002-7516-2261
Dinesh Kumar SainiDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana 141001, India.ORCID 0000-0002-6347-6183
Rajveer SinghSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141001, India.
Gurwinder KaurSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141001, India.
Umesh Preethi PrabaSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141001, India.
Pankaj KumarSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141001, India.ORCID 0000-0002-6022-2962
Simran GoyalSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141001, India.
Priti SharmaSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141001, India.
Rumesh RanjanDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana 141001, India.ORCID 0000-0002-3197-9974
Surinder K SandhuDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana 141001, India.
Ramesh KumarIndian Institute of Maize Research, Ludhiana 141001, India.
Yogesh VikalSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141001, India.ORCID 0000-0001-5821-9345

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Root system architecture (RSA), also known as root morphology, is critical in plant acquisition of soil resources, plant growth, and yield formation. Many QTLs associated with RSA or root traits in maize have been identified using several bi-parental populations, particularly in response to various environmental factors. In the present study, a meta-analysis of QTLs associated with root traits was performed in maize using 917 QTLs retrieved from 43 mapping studies published from 1998 to 2020. A total of 631 QTLs were projected onto a consensus map involving 19,714 markers, which led to the prediction of 68 meta-QTLs (MQTLs). Among these 68 MQTLs, 36 MQTLs were validated with the marker-trait associations available from previous genome-wide association studies for root traits. The use of comparative genomics approaches revealed several gene models conserved among the maize, sorghum, and rice genomes. Among the conserved genomic regions, the ortho-MQTL analysis uncovered 20 maize MQTLs syntenic to 27 rice MQTLs for root traits. Functional analysis of some high-confidence MQTL regions revealed 442 gene models, which were then subjected to in silico expression analysis, yielding 235 gene models with significant expression in various tissues. Furthermore, 16 known genes viz.,

Indexed as

OryzaZea maysChromosome MappingGenome-Wide Association StudyPlant BreedingQuantitative Trait Lociabiotic stresscandidate genesexpression analysisGWASmeta-QTLsroot systemarchitecture

Identifiers

PMID37047112
PMCPMC10093813

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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.