RETRACTED: Genome-wide analysis of bZIP, BBR, and BZR transcription factors in Triticum aestivum (Retracted Article)

被引:7
作者
Ahad, Arzoo [1 ]
Aslam, Roohi [2 ]
Gul, Alvina [1 ]
Amir, Rabia [1 ]
Munir, Faiza [1 ]
Batool, Tuba Sharf [1 ]
Ilyas, Mahnoor [1 ]
Sarwar, Muhammad [3 ]
Nadeem, Muhammad Azhar [4 ]
Baloch, Faheem Shehzad [4 ]
Fiaz, Sajid [5 ]
Zia, Muhammad Abu Bakar [6 ]
机构
[1] Natl Univ Sci & Technol, Atta Ur Rahman Sch Appl Biosci, Dept Plant Biotechnol, Islamabad, Pakistan
[2] Natl Univ Technol, NUTECH Sch Appl Sci & Humanities, Islamabad, Pakistan
[3] Natl Inst Biotechnol & Genet Engn NIBGE, Faisalabad, Pakistan
[4] Sivas Univ Sci & Technol, Fac Agr Sci & Technol, Sivas, Turkey
[5] Univ Haripur, Dept Plant Breeding & Genet, Hyber Pakhtunkhwa, Pakistan
[6] Bahauddin Zakariya Univ, Coll Agr, Bahadur Subcampus Layyah, Layyah, Punjab, Pakistan
关键词
FACTOR FAMILY; SEQUENCE; EXPRESSION; DATABASE; PLANTS;
D O I
10.1371/journal.pone.0259404
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Transcription factors are regulatory proteins known to modulate gene expression. These are the critical component of signaling pathways and help in mitigating various developmental and stress responses. Among them, bZIP, BBR, and BZR transcription factor families are well known to play a crucial role in regulating growth, development, and defense responses. However, limited data is available on these transcription factors in Triticum aestivum. In this study, bZIP, BBR, and BZR sequences from Brachypodium distachyon, Oryza sativa, Oryza barthii, Oryza brachyantha, T. aestivum, Triticum urartu, Sorghum bicolor, Zea mays were retrieved, and dendrograms were constructed to analyze the evolutionary relatedness among them. The sequences clustered into one group indicated a degree of evolutionary correlation highlighting the common lineage of cereal grains. This analysis also exhibited that these genes were highly conserved among studied monocots emphasizing their common ancestry. Furthermore, these transcription factor genes were evaluated for envisaging conserved motifs, gene structure, and subcellular localization in T. aestivum. This comprehensive computational analysis has provided an insight into transcription factor evolution that can also be useful in developing approaches for future functional characterization of these genes in T. aestivum. Furthermore, the data generated can be beneficial in future for genetic manipulation of economically important plants.
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页数:15
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