Paper · 2024 · Frontiers in Plant Science

Deciphering the genetic landscape of seedling drought stress tolerance in wheat (Triticum aestivum L.) through genome-wide association studies

Santosh Gudi; Priyanka Halladakeri; Gurjeet Singh; et al.

9
claims
17
verbatim quotes
34
citations
3
research areas
✓
Open access · cc-by

Abstract

Wheat is an important cereal crop constrained by several biotic and abiotic stresses including drought stress. Understating the effect of drought stress and the genetic basis of stress tolerance is important to develop drought resilient, high-yielding wheat cultivars. In this study, we investigated the effects of drought stress on seedling characteristics in an association panel consisting of 198 germplasm lines. Our findings revealed that drought stress had a detrimental effect on all the seedling characteristics under investigation with a maximum effect on shoot length (50.94% reduction) and the minimum effect on germination percentage (7.9% reduction). To gain a deeper understanding, we conducted a genome-wide association analysis using 12,511 single nucleotide polymorphisms (SNPs), which led to the identification of 39 marker-trait associations (MTAs). Of these 39 MTAs, 13 were particularly noteworthy as they accounted for >10% of the phenotypic variance with a LOD score >5. These high-confidence MTAs were further utilized to extract 216 candidate gene (CGs) models within 1 Mb regions. Gene annotation and functional characterization identified 83 CGs with functional relevance to drought stress. These genes encoded the WD40 repeat domain, Myb/SANT-like domain, WSD1-like domain, BTB/POZ domain, Protein kinase domain, Cytochrome P450, Leucine-rich repeat domain superfamily, BURP domain, Calmodulin-binding protein60, Ubiquitin-like domain, etc. Findings from this study hold significant promise for wheat breeders as they provide direct assistance in selecting lines harboring favorable alleles for improved drought stress tolerance. Additionally, the identified SNPs and CGs will enable marker-assisted selection of potential genomic regions associated with enhanced drought stress tolerance in wheat.

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The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.

Claims 9

Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

Drought stress reduced shoot length in wheat seedlings by 50.94%, the largest effect among the seedling traits.

Treatment
drought stresse1
Outcome
shoot lengthe1
Direction
reductione1
Value
50.94%e1
Qualifier
maximum effecte1

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Wheat is an important cereal crop constrained by several biotic and abiotic stresses including drought stress”

✓ located verbatim in the source · abstract, characters 0–109 · show in text ↑
e1

“Our findings revealed that drought stress had a detrimental effect on all the seedling characteristics under investigation with a maximum effect on shoot length (50.94% reduction) and the minimum effect on germination percentage (7.9% reduction)”

✓ located verbatim in the source · abstract, characters 417–662 · show in text ↑
Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

Drought stress reduced germination percentage in wheat by 7.9%, the smallest effect among the seedling traits.

Treatment
drought stresse1
Outcome
germination percentagee1
Direction
reductione1
Value
7.9%e1
Qualifier
minimum effecte1

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Wheat is an important cereal crop constrained by several biotic and abiotic stresses including drought stress”

✓ located verbatim in the source · abstract, characters 0–109 · show in text ↑
e1

“Our findings revealed that drought stress had a detrimental effect on all the seedling characteristics under investigation with a maximum effect on shoot length (50.94% reduction) and the minimum effect on germination percentage (7.9% reduction)”

✓ located verbatim in the source · abstract, characters 417–662 · show in text ↑
Intervention effectobservedoriginal resultnegativemeasured

Claim · model-written summary

Drought stress had a detrimental effect on all the seedling characteristics of wheat.

Treatment
drought stresse1
Outcome
seedling characteristicse1
Direction
detrimental effecte1

Not reportedComparator

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Wheat is an important cereal crop constrained by several biotic and abiotic stresses including drought stress”

✓ located verbatim in the source · abstract, characters 0–109 · show in text ↑
e1

“Our findings revealed that drought stress had a detrimental effect on all the seedling characteristics under investigation with a maximum effect on shoot length (50.94% reduction) and the minimum effect on germination percentage (7.9% reduction)”

✓ located verbatim in the source · abstract, characters 417–662 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

The genome-wide association analysis identified 39 marker-trait associations in wheat.

Outcome
marker-trait associationse2
Value
39 marker-trait associationse2

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Wheat is an important cereal crop constrained by several biotic and abiotic stresses including drought stress”

✓ located verbatim in the source · abstract, characters 0–109 · show in text ↑
e2

“we conducted a genome-wide association analysis using 12,511 single nucleotide polymorphisms (SNPs), which led to the identification of 39 marker-trait associations (MTAs)”

✓ located verbatim in the source · abstract, characters 696–867 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

13 of the 39 marker-trait associations accounted for more than 10% of the phenotypic variance, with a LOD score above 5.

Outcome
phenotypic variancee3
Value
>10%e3
Qualifier
with a LOD score >5e3

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Wheat is an important cereal crop constrained by several biotic and abiotic stresses including drought stress”

✓ located verbatim in the source · abstract, characters 0–109 · show in text ↑
e3

“Of these 39 MTAs, 13 were particularly noteworthy as they accounted for >10% of the phenotypic variance with a LOD score >5”

✓ located verbatim in the source · abstract, characters 869–992 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

216 candidate gene models were extracted within 1 Mb regions around the high-confidence marker-trait associations in wheat.

Outcome
candidate gene (CGs) modelse4
Value
216e4
Qualifier
within 1 Mb regionse4

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Wheat is an important cereal crop constrained by several biotic and abiotic stresses including drought stress”

✓ located verbatim in the source · abstract, characters 0–109 · show in text ↑
e4

“These high-confidence MTAs were further utilized to extract 216 candidate gene (CGs) models within 1 Mb regions”

✓ located verbatim in the source · abstract, characters 994–1105 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

83 candidate genes had functional relevance to drought stress in wheat.

Outcome
CGs with functional relevance to drought stresse5
Value
83 CGse5

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Wheat is an important cereal crop constrained by several biotic and abiotic stresses including drought stress”

✓ located verbatim in the source · abstract, characters 0–109 · show in text ↑
e5

“Gene annotation and functional characterization identified 83 CGs with functional relevance to drought stress”

✓ located verbatim in the source · abstract, characters 1107–1216 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

The candidate genes encoded protein domains including WD40 repeat, Myb/SANT-like, BTB/POZ, protein kinase, cytochrome P450, and ubiquitin-like domains.

Outcome
genes encodede6
Qualifier
WD40 repeat domain, Myb/SANT-like domain, WSD1-like domain, BTB/POZ domain, Protein kinase domain, Cytochrome P450, Leucine-rich repeat domain superfamily, BURP domain, Calmodulin-binding protein60, Ubiquitin-like domain, etc.e6

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Wheat is an important cereal crop constrained by several biotic and abiotic stresses including drought stress”

✓ located verbatim in the source · abstract, characters 0–109 · show in text ↑
e6

“These genes encoded the WD40 repeat domain, Myb/SANT-like domain, WSD1-like domain, BTB/POZ domain, Protein kinase domain, Cytochrome P450, Leucine-rich repeat domain superfamily, BURP domain, Calmodulin-binding protein60, Ubiquitin-like domain, etc.”

✓ located verbatim in the source · abstract, characters 1218–1468 · show in text ↑
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The identified SNPs and candidate genes will enable marker-assisted selection for drought stress tolerance in wheat.

Outcome
marker-assisted selectione7

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e7

“the identified SNPs and CGs will enable marker-assisted selection of potential genomic regions associated with enhanced drought stress tolerance in wheat”

✓ located verbatim in the source · abstract, characters 1672–1825 · show in text ↑

drought · growth · Triticum aestivum (wheat)Positive and negative results

431 papers: 86 positive, 345 negative or no effect

344 papers in the same direction as this paper · 86 in the opposite direction

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Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.