Ali Bandehagh^1,*, Zahra Dehghanian², Vahideh Gougerdchi¹, Mohammad Anwar Hossain^3,*

Phyton-International Journal of Experimental Botany, Vol.92, No.8, pp. 2301-2324, 2023, DOI:10.32604/phyton.2023.028586

Abstract The presence of selenium (Se) is not widely established as crucial for crops, although it is commonly recognized as an important nutrient for animals as well as humans. Even so, it is inevitably accepted that Se usually contributes positively to the life cycle of plants. Previous findings suggested that small amounts of Se seem to have a productive role in growth and production. As a result, Se is assumed to function in multiple ways, primarily by influencing a variety of biochemical and physiological functions. Also, Se also acts as a plant antioxidant and pro-oxidant and confers tolerance against different abiotic… More >

Cong Hou¹, Kang Ning¹, Xiuye Wei¹, Yufei Cheng¹, Huatao Yu¹, Haibin Yu², Xia Liu^1,*, Linlin Dong^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 2087-2103, 2023, DOI:10.32604/phyton.2023.029041

Abstract Abscisic acid (ABA) is involved in regulating diverse biological processes, but its signal transduction genes and roles in hemp seed germination are not well known. Here, the ABA signaling pathway members, PYL, PP2C and SnRK2 gene families, were identified from the hemp reference genome, including 7 CsPYL (pyrab-actin resistance1-like, ABA receptor), 8 CsPP2CA (group A protein phosphatase 2c), and 7 CsSnRK2 (sucrose nonfermenting1-related protein kinase 2). The content of ABA in hemp seeds in germination stage is lower than that in non-germination stage. Exogenous ABA (1 or 10 μM) treatment had a significant regulatory effect on the selected PYL, PP2C,… More >

Talha Ali Chohan^1,*, Tahir Ali Chohan^2,*, Muhammad Zahid Mumtaz¹, Muhammad Waqar Alam³, Salah ud Din⁴, Iqra Naseer⁵, Ayesha Riaz¹, Tayyeba Naseem¹, Areeba Iftikhar⁶, Dur E. Najaf Ali¹, Mubashir Hassan⁷, Hayssam M. Ali⁸

Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 1943-1954, 2023, DOI:10.32604/phyton.2023.026945

Abstract Myzus persicae (M. persicae) is now considered a threat to agricultural crops due to economic losses. Numerous synthetic insecticides applied every year against M. persicae, are reported to be unsafe for environment, humans, and beneficial insects. Furthermore, several species of Myzus have been found to develop resistance due to over application of these insecticides. Therefore, it is required to find some novel insecticide that would be safe for the environment as well as for humans. In the current study, two major pure constituents α-pinene and β-caryophyllene were evaluated for their insecticidal potential against M. persicae using a fumigant toxicity assay.… More >

Peiling Wang^1,#, Xiaohong Xu^2,#, Yong Li², Hecui Zhang¹, Xuejie Zhang³, Siru Zhou¹, Yimei Liu¹, Yunyan Feng¹, Tonghong Zuo¹, Liquan Zhu^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1469-1492, 2023, DOI:10.32604/phyton.2023.027133

Abstract Phytocyanin (PC) is a class of plant-specific blue copper proteins involved in electron transport, plant growth, development, and stress resistance. However, PC proteins have not been systematically evaluated in tobacco plants. We determined the whole-genome sequences of the PC family in the tobacco cultivar ‘K326.’ The transcriptome data were used to analyze the expression of the NtPC family at different development stages and tissue-specific genes. Real-time fluorescence quantitative analysis was used to analyze the expression of the NtPC gene family under low temperature and methyl jasmonate stress. The tobacco NtPC family contained 110 members and was divided into four subfamilies:… More >

Min Hu^1,2,3, Zhimin Chen⁴, Yuan Xia⁴, Liping Zhang^1,2,3,*, Qiuhua Tang^1,2,3

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2815-2840, 2023, DOI:10.32604/cmes.2023.027146

Abstract The multi-skill resource-constrained project scheduling problem (MS-RCPSP) is a significant management science problem that extends from the resource-constrained project scheduling problem (RCPSP) and is integrated with a real project and production environment. To solve MS-RCPSP, it is an efficient method to use dispatching rules combined with a parallel scheduling mechanism to generate a scheduling scheme. This paper proposes an improved gene expression programming (IGEP) approach to explore newly dispatching rules that can broadly solve MS-RCPSP. A new backward traversal decoding mechanism, and several neighborhood operators are applied in IGEP. The backward traversal decoding mechanism dramatically reduces the space complexity in… More > Graphic Abstract

Shoukai Lin^1,2,#, Shichang Xu^1,#, Liyan Huang¹, Fuxiang Qiu¹, Yihong Zheng¹, Qionghao Liu¹, Shiwei Ma^1,2, Bisha Wu^1,2, Jincheng Wu^1,2,*

Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1185-1201, 2023, DOI:10.32604/phyton.2023.026752

Abstract Loquat (Eriobotrya japonica Lindl.) is a subtropical evergreen fruit tree that produces fruits with abundant nutrients and medicinal components. Confirming suitable reference genes for a set of loquat samples before qRT-PCR experiments is essential for the accurate quantification of gene expression. In this study, eight candidate reference genes were selected from our previously published RNA-seq data, and primers for each candidate reference gene were designed and evaluated. The Cq values of the candidate reference genes were calculated by RT-qPCR in 31 different loquat samples, including 12 subgroups of developing or abiotic-stressed tissues. Different combinations of stable reference genes were screened… More >

ZEKUN XIN^1,#, YUDAN MA^2,#, WEIQIANG SONG³, HAO GAO³, LIJUN DONG³, BAO ZHANG^1,*, ZHILONG REN^3,*

BIOCELL, Vol.47, No.3, pp. 555-567, 2023, DOI:10.32604/biocell.2023.026254

Abstract Background: Recently, researchers have been attracted in identifying the crucial genes related to cancer, which plays important role in cancer diagnosis and treatment. However, in performing the cancer molecular subtype classification task from cancer gene expression data, it is challenging to obtain those significant genes due to the high dimensionality and high noise of data. Moreover, the existing methods always suffer from some issues such as premature convergence. Methods: To address those problems, we propose a new ant colony optimization (ACO) algorithm called DACO to classify the cancer gene expression datasets, identifying the essential genes of different diseases. In DACO,… More >

Aliaa El-Gawady^1,*, BenBella S. Tawfik¹, Mohamed A. Makhlouf^1,2

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5559-5572, 2023, DOI:10.32604/cmc.2023.034734

Abstract Gene expression (GE) classification is a research trend as it has been used to diagnose and prognosis many diseases. Employing machine learning (ML) in the prediction of many diseases based on GE data has been a flourishing research area. However, some diseases, like Alzheimer’s disease (AD), have not received considerable attention, probably owing to data scarcity obstacles. In this work, we shed light on the prediction of AD from GE data accurately using ML. Our approach consists of four phases: preprocessing, gene selection (GS), classification, and performance validation. In the preprocessing phase, gene columns are preprocessed identically. In the GS… More >

Shahid Hussain¹, Rui Zhang¹, Shuli Liu¹, Yang Wang¹, Irshad Ahmad², Yinglong Chen¹, Hongyan Hou³, Qigen Dai^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.3, pp. 861-881, 2023, DOI:10.32604/phyton.2023.025487

Abstract

Understanding physiological responses in saline agriculture may facilitate wheat breeding programs. Based on a screening test, the Ningmai-14 (NM-14) and Yangmai-23 (YM-23) wheat cultivars were selected for further experiments to understand the underlying salinity tolerance mechanism. This study investigated the effects of five salinity levels such as Control (CK) = 0 (without NaCl stress), S1 = 0.20%, S2 = 0.25%, S3 = 0.30% and S4 = 0.35% of NaCl concentrations of soil on wheat plants. The results showed that increased salinity concentration reduced the growth and yield of wheat cultivars (NM-14 and YM-23). However, YM-23 (12.7%) yielded more than NM-14… More >

Muhammad Hamraz¹, Dost Muhammad Khan¹, Naz Gul¹, Amjad Ali¹, Zardad Khan¹, Shafiq Ahmad², Mejdal Alqahtani², Akber Abid Gardezi³, Muhammad Shafiq^4,*

CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3663-3677, 2023, DOI:10.32604/cmc.2023.030064

Abstract The current study proposes a novel technique for feature selection by inculcating robustness in the conventional Signal to noise Ratio (SNR). The proposed method utilizes the robust measures of location i.e., the “Median” as well as the measures of variation i.e., “Median absolute deviation (MAD) and Interquartile range (IQR)” in the SNR. By this way, two independent robust signal-to-noise ratios have been proposed. The proposed method selects the most informative genes/features by combining the minimum subset of genes or features obtained via the greedy search approach with top-ranked genes selected through the robust signal-to-noise ratio (RSNR). The results obtained via… More >