Paper · 2021 · Physiologia Plantarum

Bulk analysis by resequencing and RNA‐seq identifies candidate genes for maintaining leaf water content under water deficit in maize

Fengqi Zhang; Jun Zhang; Zhiyan Ma; et al.

9
claims
17
verbatim quotes
15
citations
2
research areas
—
Not open access

Abstract

Abstract Drought is one of the main abiotic stresses adversely affecting maize growth and grain yield. Identifying drought tolerance‐related genes and breeding varieties with enhanced tolerance are effective strategies for minimizing the effects of drought stress. In this study, the leaf relative water content (LRWC) was used for evaluating drought tolerance. QTL‐seq analysis of 419 F 2 individuals from a cross between ZhengT22 (the drought‐tolerant line with high LRWC) and ZhengA88 (the drought‐sensitive line with low LRWC) revealed four LRWC‐related QTLs ( qLRWC2 , qLRWC10a , qLRWC10b , and qLRWC10c ) in maize seedlings under water deficit. Of these QTLs, qLRWC2 was located in a 2.03‐Mb interval on chromosome 2, whereas qLRWC10a , qLRWC10b , and qLRWC10c were located in 2.85‐, 3.99‐, and 2.05‐Mb intervals, respectively, on chromosome 10, and the 93 genes contained the variation loci locating in the four QTLs regions. To identify the candidate genes within the QTLs, an RNA‐seq analysis was performed for the parents exposed to water deficit. Seven genes with effective variation loci showed significant difference in expression either in ZhengA88 or ZhengT22 in response to water deficit. Moreover, among the genes, ZmPrx64 , ZmCIPK , HSP90 , and ABCG34 have all been shown to be related to water stress in the previous studies. Thus, they are primary considered as the potential candidate genes controlling LRWC under water deficit at the seeding stage of maize in this study. These findings will help clarify the molecular basis of drought tolerance in maize seedlings and may be relevant for future functional analysis and for breeding drought‐tolerant maize varieties.

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Claims 9

Observationobservedoriginal resultmeasured

Claim · model-written summary

ZhengT22 had high LRWC and ZhengA88 low LRWC.

Taxon
maizeZea mayst0
Material
ZhengT22e0
Outcome
high LRWCe0
Comparator
ZhengA88e0

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

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

t0

“maize”

✓ located verbatim in the source · title, characters 127–132 · show in text ↑
e0

“ZhengT22 (the drought‐tolerant line with high LRWC) and ZhengA88 (the drought‐sensitive line with low LRWC)”

✓ located verbatim in the source · abstract, characters 423–530 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Four QTLs were identified for maize seedling LRWC under water deficit.

Taxon
maizeZea mayse0
Organ / stage
seedlingse0
Treatment
water deficite0
Outcome
LRWC‐related QTLse0
Value
foure0

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

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“revealed four LRWC‐related QTLs ( qLRWC2 , qLRWC10a , qLRWC10b , and qLRWC10c ) in maize seedlings under water deficit”

✓ located verbatim in the source · abstract, characters 531–649 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

qLRWC2 mapped to a 2.03-Mb interval on chromosome 2.

Taxon
maizeZea mayst0
Gene
qLRWC2e0
Outcome
located in a 2.03‐Mb interval on chromosome 2e0
Value
2.03‐Mbe0

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

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

t0

“maize”

✓ located verbatim in the source · title, characters 127–132 · show in text ↑
e0

“qLRWC2 was located in a 2.03‐Mb interval on chromosome 2”

✓ located verbatim in the source · abstract, characters 666–722 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

qLRWC10a mapped to a 2.85-Mb interval on chromosome 10.

Taxon
maizeZea mayst0
Gene
qLRWC10ae0
Outcome
located in 2.85‐, 3.99‐, and 2.05‐Mb intervalse0
Value
2.85‐e0

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

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

t0

“maize”

✓ located verbatim in the source · title, characters 127–132 · show in text ↑
e0

“qLRWC10a , qLRWC10b , and qLRWC10c were located in 2.85‐, 3.99‐, and 2.05‐Mb intervals, respectively, on chromosome 10”

✓ located verbatim in the source · abstract, characters 732–850 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

qLRWC10b mapped to a 3.99-Mb interval on chromosome 10.

Taxon
maizeZea mayst0
Gene
qLRWC10be0
Outcome
located in 2.85‐, 3.99‐, and 2.05‐Mb intervalse0
Value
3.99‐e0

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

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

t0

“maize”

✓ located verbatim in the source · title, characters 127–132 · show in text ↑
e0

“qLRWC10a , qLRWC10b , and qLRWC10c were located in 2.85‐, 3.99‐, and 2.05‐Mb intervals, respectively, on chromosome 10”

✓ located verbatim in the source · abstract, characters 732–850 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

qLRWC10c mapped to a 2.05-Mb interval on chromosome 10.

Taxon
maizeZea mayst0
Gene
qLRWC10ce0
Outcome
located in 2.85‐, 3.99‐, and 2.05‐Mb intervalse0
Value
2.05‐Mbe0

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

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

t0

“maize”

✓ located verbatim in the source · title, characters 127–132 · show in text ↑
e0

“qLRWC10a , qLRWC10b , and qLRWC10c were located in 2.85‐, 3.99‐, and 2.05‐Mb intervals, respectively, on chromosome 10”

✓ located verbatim in the source · abstract, characters 732–850 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Ninety-three genes contained variation loci in the four QTL regions.

Taxon
maizeZea mayst0
Outcome
genes contained the variation locie0
Value
93e0

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

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

t0

“maize”

✓ located verbatim in the source · title, characters 127–132 · show in text ↑
e0

“the 93 genes contained the variation loci locating in the four QTLs regions”

✓ located verbatim in the source · abstract, characters 856–931 · show in text ↑
Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Seven variant-bearing genes had significantly different expression in one or both parents after water deficit.

Taxon
maizeZea mayst0
Material
ZhengA88 or ZhengT22e0
Treatment
water deficite0
Outcome
difference in expressione0
Value
Sevene0

Not reportedDirection

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

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

t0

“maize”

✓ located verbatim in the source · title, characters 127–132 · show in text ↑
e0

“Seven genes with effective variation loci showed significant difference in expression either in ZhengA88 or ZhengT22 in response to water deficit”

✓ located verbatim in the source · abstract, characters 1058–1203 · show in text ↑
Observationauthor interpretationoriginal resultmeasured

Claim · model-written summary

ZmPrx64, ZmCIPK, HSP90 and ABCG34 were proposed as candidate genes for LRWC control.

Taxon
maizeZea mayse0
Organ / stage
seeding stagee0
Gene
ZmPrx64 , ZmCIPK , HSP90 , and ABCG34e0
Outcome
potential candidate genes controlling LRWC under water deficite0

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

Zea mays
Zea mays · TaxonAkwugo · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

t0

“maize”

✓ located verbatim in the source · title, characters 127–132 · show in text ↑
e0

“ZmPrx64 , ZmCIPK , HSP90 , and ABCG34 have all been shown to be related to water stress in the previous studies. Thus, they are primary considered as the potential candidate genes controlling LRWC under water deficit at the seeding stage of maize”

✓ located verbatim in the source · abstract, characters 1232–1478 · show in text ↑