2023
DOI: 10.3389/fpls.2023.1271084
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Construction of heat stress regulation networks based on Illumina and SMRT sequencing data in potato

Lina Shang,
Yonghong Zhou,
Shiqi Wen
et al.

Abstract: Potato (Solanum tuberosum L.) is one of the most important tuber food crops in the world; however, the cultivated potatoes are susceptible to high temperature, by which potato production is adversely affected. Understanding the coping mechanism of potato to heat stress is essential to secure yield and expand adaptability under environmental conditions with rising temperature. However, the lack of heat-related information has significantly limited the identification and application of core genes. To gain deeper… Show more

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Cited by 2 publications
(2 citation statements)
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“…A comprehensive understanding of the plant-specific chaperone network involving NudC proteins will further illuminate the molecular mechanisms of plant stress resilience. In addition to this, the advances in next-generation sequencing technologies have recently enabled the dissection of heat stress regulation modules [ 90 ]. Such thorough studies of the transcriptional signatures would shed light on the NudC gene coexpression networks in response to unfavorable conditions.…”
Section: Future Avenues Of Research On Nudc Proteins In Plantsmentioning
confidence: 99%
“…A comprehensive understanding of the plant-specific chaperone network involving NudC proteins will further illuminate the molecular mechanisms of plant stress resilience. In addition to this, the advances in next-generation sequencing technologies have recently enabled the dissection of heat stress regulation modules [ 90 ]. Such thorough studies of the transcriptional signatures would shed light on the NudC gene coexpression networks in response to unfavorable conditions.…”
Section: Future Avenues Of Research On Nudc Proteins In Plantsmentioning
confidence: 99%
“…Some others showed that genetic algorithms and particle swarm optimization might more effectively explore the hyperparameter space. Nevertheless, these methods may face early convergence and difficulty in handling the intricacies of real-time plant stress data 17 . A prospective way to cope with the challenge entails assessing blended optimization algorithms, particularly those that derive precedent from foraging behavior and search and rescue tactics.…”
Section: Introductionmentioning
confidence: 99%