ORCID Profile
0000-0002-3160-4830
Current Organisation
University of the Punjab
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Publisher: MDPI AG
Date: 06-2023
DOI: 10.3390/AGRICULTURE13061182
Abstract: WRKY proteins are an important group of transcription factors (TFs) gene family and were identified primarily in plants. WRKY TFs play vital roles in modulating gene expression when plants face detrimental effects due to the environment. In the current study, we focused on using the mandarin citrus (Citrus reticulata) genome to understand the impact of the WRKY gene family on the extraction of alleles mining in mandarins. The mining of the C. reticulata genome identified 46 CrWRKY genes that were classified into three main groups (G1, G2, and G3) further with five subclasses (IIa, IIb, IIc, Iid, and IIe) in the G2 group, and all were presented on 29 scaffolds representing numerous segmental duplications of 100% events established. Multiple sequence analysis predicted the presence of the “WRKYGQK” domain and metal-chelating zinc-finger motif C2H2 in 45 genes, while the “WRKYGQK” domain was replaced with “WRKYGKK” only in CrWRKY20. The comparative relationship of CrWRKY with other plant species using dual synteny analysis revealed that the ergence between C. reticulata and C. grandis occurred after the evolutionary ergence of C. clementine, C. sinensis, C. medica, and C. ichangensis. The possible functions of the CrWRKY genes in mitigating environmental effects were predicted using cis-regulatory elements analysis and in silico RNAseq analysis, for the development of plants. These results provide a robust platform and absence of knowledge for the functional identification from key genes of CrWRKY genes in the mandarin for the possible use to improve key desirable agronomic and consumer-driven fruit quality traits in mandarins and related species.
Publisher: Frontiers Media SA
Date: 12-11-2015
Publisher: Frontiers Media SA
Date: 22-08-2017
Publisher: Hindawi Limited
Date: 2015
DOI: 10.1155/2015/563869
Abstract: This study was carried out to evaluate F1 single cross-maize hybrids in four crop growing seasons (2010–2012). Morphological traits and physiological parameters of twelve maize hybrids were evaluated (i) to construct seed yield equation and (ii) to determine grain yield attributing traits of well-performing maize genotype using a previously unexplored method of two-way hierarchical clustering. In seed yield predicting equation photosynthetic rate contributed the highest variation (46%). Principal component analysis data showed that investigated traits contributed up to 90.55% variation in dependent structure. From factor analysis, we found that factor 1 contributed 49.6% variation ( P 0.05 ) with primary important traits (i.e., number of leaves per plant, plant height, stem diameter, fresh leaves weight, leaf area, stomata conductance, substomata CO 2 absorption rate, and photosynthetic rate). The results of two-way hierarchical clustering demonstrated that Cluster III had outperforming genotype H 12 (Sultan × Soneri) along with its most closely related traits (photosynthetic rate, stomata conductance, substomata CO 2 absorption rate, chlorophyll contents, leaf area, and fresh stem weight). Our data shows that H 12 (Sultan × Soneri) possessed the highest grain yield per plant under environmentally stress conditions, which are most likely to exist in arid and semiarid climatic conditions, such as in Pakistan.
Publisher: Informa UK Limited
Date: 2016
Publisher: Frontiers Media SA
Date: 28-03-2017
No related grants have been discovered for Dr. Qurban Ali.