Abstract
Introduction Cotton ( Gossypium hirsutum L.) is susceptible to long-term waterlogging stress; however, genomic information of cotton response mechanisms toward long days of waterlogging is quite elusive. Methods Here, we combined the transcriptome and metabolome expression level changes in cotton roots after 10 and 20 days of waterlogging stress treatment pertaining to potential resistance mechanisms in two cotton genotypes. Results and discussion Numerous adventitious roots and hypertrophic lenticels were induced in CJ1831056 and CJ1831072. Transcriptome analysis revealed 101,599 differentially expressed genes in cotton roots with higher gene expression after 20 days of stress. Reactive oxygen species (ROS) generating genes, antioxidant enzyme genes, and transcription factor genes ( AP2 , MYB , WRKY , and bZIP ) were highly responsive to waterlogging stress among the two genotypes. Metabolomics results showed higher expressions of stress-resistant metabolites sinapyl alcohol, L-glutamic acid, galactaric acid, glucose 1-phosphate, L-valine, L-asparagine, and melibiose in CJ1831056 than CJ1831072. Differentially expressed metabolites (adenosine, galactaric acid, sinapyl alcohol, L-valine, L-asparagine, and melibiose) significantly correlated with the differentially expressed PRX52 , PER1 , PER64 , and BGLU11 transcripts. This investigation reveals genes for targeted genetic engineering to improve waterlogging stress resistance to enhance abiotic stress regulatory mechanisms in cotton at the transcript and metabolic levels of study.
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Claims 7
Claim · model-written summary
Waterlogging induced numerous adventitious roots and hypertrophic lenticels in both genotypes.
- Taxon
- cotton
Gossypium hirsutumt0 - Material
- CJ1831056e0
- Treatment
- waterlogging stresse1
- Outcome
- adventitious roots and hypertrophic lenticelse0
Not reportedComparatorDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Numerous adventitious roots and hypertrophic lenticels were induced in CJ1831056 and CJ1831072”
t0“cotton (Gossypium hirsutum L.)”
e1“waterlogging stress treatment”
Claim · model-written summary
Cotton roots had 101,599 differentially expressed genes, with higher expression after 20 days of stress.
- Taxon
- cottonGossypium hirsutume0
- Organ / stage
- rootse0
- Outcome
- differentially expressed genese0
- Direction
- highere0
- Value
- 101,599e0
- Qualifier
- after 20 days of stresse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Transcriptome analysis revealed 101,599 differentially expressed genes in cotton roots with higher gene expression after 20 days of stress”
Claim · model-written summary
ROS generating, antioxidant enzyme and AP2, MYB, WRKY and bZIP transcription factor genes were highly responsive to waterlogging in both genotypes.
- Taxon
- cottonGossypium hirsutumt0
- Gene
- transcription factor genese0
- Outcome
- highly responsive to waterlogging stresse0
- Qualifier
- the two genotypese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Reactive oxygen species (ROS) generating genes, antioxidant enzyme genes, and transcription factor genes ( AP2 , MYB , WRKY , and bZIP ) were highly responsive to waterlogging stress among the two genotypes”
t0“cotton (Gossypium hirsutum L.)”
Claim · model-written summary
CJ1831056 had higher expression of sinapyl alcohol, L-glutamic acid and galactaric acid than CJ1831072.
- Taxon
- cottonGossypium hirsutumt0
- Material
- CJ1831056e0
- Outcome
- sinapyl alcohol, L-glutamic acid, galactaric acide0
- Direction
- highere0
- Comparator
- CJ1831072e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Metabolomics results showed higher expressions of stress-resistant metabolites sinapyl alcohol, L-glutamic acid, galactaric acid, glucose 1-phosphate, L-valine, L-asparagine, and melibiose in CJ1831056 than CJ1831072”
t0“cotton (Gossypium hirsutum L.)”
Claim · model-written summary
CJ1831056 had higher expression of glucose 1-phosphate, L-valine and L-asparagine than CJ1831072.
- Taxon
- cottonGossypium hirsutumt0
- Material
- CJ1831056e0
- Outcome
- glucose 1-phosphate, L-valine, L-asparaginee0
- Direction
- highere0
- Comparator
- CJ1831072e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Metabolomics results showed higher expressions of stress-resistant metabolites sinapyl alcohol, L-glutamic acid, galactaric acid, glucose 1-phosphate, L-valine, L-asparagine, and melibiose in CJ1831056 than CJ1831072”
t0“cotton (Gossypium hirsutum L.)”
Claim · model-written summary
CJ1831056 had higher melibiose expression than CJ1831072.
- Taxon
- cottonGossypium hirsutumt0
- Material
- CJ1831056e0
- Outcome
- melibiosee0
- Direction
- highere0
- Comparator
- CJ1831072e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Metabolomics results showed higher expressions of stress-resistant metabolites sinapyl alcohol, L-glutamic acid, galactaric acid, glucose 1-phosphate, L-valine, L-asparagine, and melibiose in CJ1831056 than CJ1831072”
t0“cotton (Gossypium hirsutum L.)”
Claim · model-written summary
Six differential metabolites significantly correlated with PRX52, PER1, PER64 and BGLU11 transcripts.
- Taxon
- cottonGossypium hirsutumt0
- Gene
- PRX52e0
- Outcome
- Differentially expressed metabolitese0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Differentially expressed metabolites (adenosine, galactaric acid, sinapyl alcohol, L-valine, L-asparagine, and melibiose) significantly correlated with the differentially expressed PRX52 , PER1 , PER64 , and BGLU11 transcripts”
t0“cotton (Gossypium hirsutum L.)”
The same questions in other papers
flooding · growth · Gossypium hirsutum (cotton)Results differ
4 papers in the same direction as this paper · 20 in the opposite direction
- negative
- negative
- negative
21 papers more in this group
See all 25 papers →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.