Evidence map›Paper›PMID 38600135›Full record

ArticleScientific reports2024

Genomic wide association study and selective sweep analysis identify genes associated with improved yield under drought in Turkish winter wheat germplasm.

Deepmala Sehgal, Nagenahalli Dharmegowda Rathan, Fatih Özdemir, Mesut Keser, Beyhan Akin, Abdelfattah A Dababat, Emrah Koc, Susanne Dreisigacker, Alexey Morgounov

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

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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

5 citing papers in PubMed, 6 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 2 institutions in 3 countries.

Deepmala SehgalInternational Maize and Wheat Improvement Center (CIMMYT), Km. 45, Carretera Mex-Veracruz, El Batan, CP 56237, Veracruz, Mexico. deepmala.sehgal@syngenta.com.
Nagenahalli Dharmegowda RathanCorteva Agriscience, Hyderabad, Telangana, India.
Fatih ÖzdemirBahri Dagdas International Agricultural Research Institute, Konya, Turkey.
Mesut KeserInternational Center for Agricultural Research in Dry Areas (ICARDA), Ankara, Turkey.
Beyhan AkinInternational Maize and Wheat Improvement Center (CIMMYT), Ankara, Turkey.
Abdelfattah A DababatInternational Maize and Wheat Improvement Center (CIMMYT), Ankara, Turkey.ORCID 0000-0002-3172-0452
Emrah KocInternational Maize and Wheat Improvement Center (CIMMYT), Ankara, Turkey.
Susanne DreisigackerInternational Maize and Wheat Improvement Center (CIMMYT), Km. 45, Carretera Mex-Veracruz, El Batan, CP 56237, Veracruz, Mexico.ORCID 0000-0002-3546-5989
Alexey MorgounovScientific Production Center of Grain, Shortandy, Astana reg., 010000, Kazakhstan. alexey.morgounov@gmail.com.ORCID 0000-0001-7082-5655
Centro Internacional de Mejoramiento de Maíz Y Trigo · MXShort and Associates (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A panel comprising of 84 Turkish winter wheat landraces (LR) and 73 modern varieties (MV) was analyzed with genome wide association study (GWAS) to identify genes/genomic regions associated with increased yield under favorable and drought conditions. In addition, selective sweep analysis was conducted to detect signatures of selection in the winter wheat genome driving the differentiation between LR and MV, to gather an understanding of genomic regions linked to adaptation and yield improvement. The panel was genotyped with 25 K wheat SNP array and phenotyped for agronomic traits for two growing seasons (2018 and 2019) in Konya, Turkey. Year 2018 was treated as drought environment due to very low precipitation prior to heading whereas year 2019 was considered as a favorable season. GWAS conducted with SNPs and haplotype blocks using mixed linear model identified 18 genomic regions in the vicinities of known genes i.e., TaERF3-3A, TaERF3-3B, DEP1-5A, FRIZZY PANICLE-2D, TaSnRK23-1A, TaAGL6-A, TaARF12-2A, TaARF12-2B, WAPO1, TaSPL16-7D, TaTGW6-A1, KAT-2B, TaOGT1, TaSPL21-6B, TaSBEIb, trs1/WFZP-A, TaCwi-A1-2A and TaPIN1-7A associated with grain yield (GY) and yield related traits. Haplotype-based GWAS identified five haplotype blocks (H1A-42, H2A-71, H4A-48, H7B-123 and H7B-124), with the favorable haplotypes showing a yield increase of > 700 kg/ha in the drought season. SNP-based GWAS, detected only one larger effect genomic region on chromosome 7B, in common with haplotype-based GWAS. On an average, the percentage variation (PV) explained by haplotypes was 8.0% higher than PV explained by SNPs for all the investigated traits. Selective sweep analysis detected 39 signatures of selection between LR and MV of which 15 were within proximity of known functional genes controlling flowering (PRR-A1, PPR-D1, TaHd1-6B), GY and GY components (TaSus2-2B, TaGS2-B1, AG1-1A/WAG1-1A, DUO-A1, DUO-B1, AG2-3A/WAG2-3A, TaLAX1, TaSnRK210-4A, FBP, TaLAX1, TaPIL1 and AP3-1-7A/WPA3-7A) and 10 regions underlying various transcription factors and regulatory genes. The study outcomes contribute to utilization of LR in breeding winter wheat.

Indexed as

Genome-Wide Association StudyTriticumDroughtsEdible GrainGenomicsPhenotypePlant BreedingQuantitative Trait LociSeasonsTurkey

Identifiers

PMID38600135
PMCPMC11006659
OpenAlexW4394688126

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.