Exploring the genetic potential of Pakistani soybean cultivars through RNA-seq based transcriptome analysis

Tariq, Arslan; Jabeen, Zahra; Farrakh, Sumaira; Noreen, Kiran; Arshad, W.; Ahmed, Haroon; Haider, Waqas

doi:10.1007/s11033-021-07104-3

Cited by 3 publications

(3 citation statements)

References 38 publications

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“…Transcriptome analysis plays a crucial role in identifying stress-responsive genes in soybean ( Sun et al, 2021 ; Chen et al, 2022 ; Ma et al, 2022 ; Tariq et al, 2022 ). Soybean has a complex genetic mechanism for heat tolerance.…”

Section: Transcriptome Analysis For Heat Tolerance In Soybeanmentioning

confidence: 99%

Improvement of heat stress tolerance in soybean (Glycine max L), by using conventional and molecular tools

et al. 2022

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The soybean is a significant legume crop, providing several vital dietary components. Extreme heat stress negatively affects soybean yield and quality, especially at the germination stage. Continuous change in climatic conditions is threatening the global food supply and food security. Therefore, it is a critical need of time to develop heat-tolerant soybean genotypes. Different molecular techniques have been developed to improve heat stress tolerance in soybean, but until now complete genetic mechanism of soybean is not fully understood. Various molecular methods, like quantitative trait loci (QTL) mapping, genetic engineering, transcription factors (TFs), transcriptome, and clustered regularly interspaced short palindromic repeats (CRISPR), are employed to incorporate heat tolerance in soybean under the extreme conditions of heat stress. These molecular techniques have significantly improved heat stress tolerance in soybean. Besides this, we can also use specific classical breeding approaches and different hormones to reduce the harmful consequences of heat waves on soybean. In future, integrated use of these molecular tools would bring significant results in developing heat tolerance in soybean. In the current review, we have presented a detailed overview of the improvement of heat tolerance in soybean and highlighted future prospective. Further studies are required to investigate different genetic factors governing the heat stress response in soybean. This information would be helpful for future studies focusing on improving heat tolerance in soybean.

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Section: Transcriptome Analysis For Heat Tolerance In Soybeanmentioning

confidence: 99%

Improvement of heat stress tolerance in soybean (Glycine max L), by using conventional and molecular tools

et al. 2022

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“…The understanding of genetic responses under varying levels of temperature provides a foundation to further understand the temperature response pathway (Jianing et al, 2022). Tariq et al (2022) performed transcriptome analysis of soybean genotypes NARC-1 and Swat-84 under the same conditions within a glass house; however, the detailed genetic analysis in association with physiological, biochemical, and morphological traits is lacking. Additionally, soybean is a temperature-sensitive crop; therefore, we comprehensively evaluated soybean genotypes at varying regimes of day and night temperatures by focusing on physiological, biochemical, agronomic, and genetic indices.…”

Section: Introductionmentioning

confidence: 99%

“…The understanding of genetic responses under varying levels of temperature provides a foundation to further understand the temperature response pathway ( Jianing et al., 2022 ). Tariq et al. (2022) performed transcriptome analysis of soybean genotypes NARC-1 and Swat-84 under the same conditions within a glass house; however, the detailed genetic analysis in association with physiological, biochemical, and morphological traits is lacking.…”

Section: Introductionmentioning

confidence: 99%

Optimization of soybean physiochemical, agronomic, and genetic responses under varying regimes of day and night temperatures

Ding,

Alghabari,

Rauf

et al. 2024

Front. Plant Sci.

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Soybean is an important oilseed crop worldwide; however, it has a high sensitivity to temperature variation, particularly at the vegetative stage to the pod-filling stage. Temperature change affects physiochemical and genetic traits regulating the soybean agronomic yield. In this regard, the current study aimed to comparatively evaluate the effects of varying regimes of day and night temperatures (T1 = 20°C/12°C, T2 = 25°C/17°C, T3 = 30°C/22°C, T4 = 35°C/27°C, and T5 = 40°C/32°C) on physiological (chlorophyll, photosynthesis, stomatal conductance, transpiration, and membrane damage) biochemical (proline and antioxidant enzymes), genetic (GmDNJ1, GmDREB1G;1, GmHSF-34, GmPYL21, GmPIF4b, GmPIP1;6, GmGBP1, GmHsp90A2, GmTIP2;6, and GmEF8), and agronomic traits (pods per plant, seeds per plant, pod weight per plant, and seed yield per plant) of soybean cultivars (Swat-84 and NARC-1). The experiment was performed in soil plant atmosphere research (SPAR) units using two factorial arrangements with cultivars as one factor and temperature treatments as another factor. A significant increase in physiological, biochemical, and agronomic traits with increased gene expression was observed in both soybean cultivars at T4 (35°C/27°C) as compared to below and above regimes of temperatures. Additionally, it was established by correlation, principal component analysis (PCA), and heatmap analysis that the nature of soybean cultivars and the type of temperature treatments have a significant impact on the paired association of agronomic and biochemical traits, which in turn affects agronomic productivity. Furthermore, at corresponding temperature regimes, the expression of the genes matched the expression of physiochemical traits. The current study has demonstrated through extensive physiochemical, genetic, and biochemical analyses that the ideal day and night temperature for soybeans is T4 (35°C/27°C), with a small variation having a significant impact on productivity from the vegetative stage to the grain-filling stage.

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Agro-morphological characterization and genetic variability assessment of soybean [Glycine max (L.) Merr.] germplasm for yield and quality traits

Ullah,

Akram,

Rasool

et al. 2024

Euphytica

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Exploring the genetic potential of Pakistani soybean cultivars through RNA-seq based transcriptome analysis

Cited by 3 publications

References 38 publications

Improvement of heat stress tolerance in soybean (Glycine max L), by using conventional and molecular tools

Improvement of heat stress tolerance in soybean (Glycine max L), by using conventional and molecular tools

Optimization of soybean physiochemical, agronomic, and genetic responses under varying regimes of day and night temperatures

Agro-morphological characterization and genetic variability assessment of soybean [Glycine max (L.) Merr.] germplasm for yield and quality traits

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