Study on identification of five citrus sinensis cultivars based on similarity diversity in some genetic parameters of their molecular dna profiles using irap-pcr technique

Other Title(s)

دراسة على تعريف خمسة أصناف برتقال على اساس التشابهة والتباين في بعض القياسات الوراثيه لتهيئه جزيئات احماضها النوويه (دنا)‎ باستخدام تقنيه PCR-IRAP

Joint Authors

Sharaf, Muhammad Muhammad
Atawiah, Ahmad Rizq al-Sayyid
Hamdan, Nurah A.
al-Jaushi, Sharif Fathi

Source

Annals of Agricultural Science, Moshtohor

Issue

Vol. 60, Issue 1 (31 Mar. 2022), pp.157-167, 11 p.

Publisher

Banha University Faculty of Agriculture

Publication Date

2022-03-31

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Agriculture

Topics

Abstract EN

The present study was carried out on five sweet orange Cvs.

, namely White Khalili, Red Khalili, Succari, Navel and Mazizi to throw Their some light on genetic relationships and fingerprinting Profiles via 5 IRAP-PCR Primers.

These primers characterized by their higher to moderate degrees of successful in amplification potentiality for reproducible, polymorphic fragments, specific markers and Co-dominated, as well as their discriminatory power.

Obtained data regarding the genetic analysis of the 5 orange Cvs.

based on the 5 IRAP primers detected that 59 fragments were amplified from which 37 bands were polymorphic with 63% .

In addition, 29 bands of these poly morphic ones were positive unique and considered as specific markers.

So there 5 sweet orange Cvs didn't give identical DNA fingerprint.

The number of total and polymorphic amplified fragments across the 5 orange Cvs by each IRAP Primer showed a considerable variation.

Since, the F10&B6 was the superior (21 total and 18 polymorphic fragments), with the highest Polymorphism % (86).

In addition, the number of Positive unique DNA fragments (specific markers) generated by the F10&B6 primer varied greatly from one cultivar to another.

Herein Navel Orange cv.

occurred the highest number followed by Red Khalili, both (White Khalili & Succary) and finally Mazizi i.

e, exhibited 5, 4, 3, 3 and 2 specific markers, respectively.

Results of similarity matrix showed that the highest genetic Similarity (0.877) was existed between both Mazizi &White Khali.

Cvs, while the reverse was detected between White Khal.

& Red Khal.

(0, 716).

Beside, the UPĢMA dendrogram classified the 5 orange Cvs into two main groups (A &B) i.

e, (A.

) includes only Succari while (B) was subdivided into (C& D sub- groups) C includes White Khal.

only D included E & Fsub-sub clusters, E includes only Navel orange, while F (Mazizi &.

Red Khal.

).

So the IRAP- PCR an efficient technique for discriminating between Citrus sinensis cultivars even the closely related ones.

American Psychological Association (APA)

Hamdan, Nurah A.& Sharaf, Muhammad Muhammad& Atawiah, Ahmad Rizq al-Sayyid& al-Jaushi, Sharif Fathi. 2022. Study on identification of five citrus sinensis cultivars based on similarity diversity in some genetic parameters of their molecular dna profiles using irap-pcr technique. Annals of Agricultural Science, Moshtohor،Vol. 60, no. 1, pp.157-167.
https://search.emarefa.net/detail/BIM-1390683

Modern Language Association (MLA)

Sharaf, Muhammad Muhammad…[et al.]. Study on identification of five citrus sinensis cultivars based on similarity diversity in some genetic parameters of their molecular dna profiles using irap-pcr technique. Annals of Agricultural Science, Moshtohor Vol. 60, no. 1 (2022), pp.157-167.
https://search.emarefa.net/detail/BIM-1390683

American Medical Association (AMA)

Hamdan, Nurah A.& Sharaf, Muhammad Muhammad& Atawiah, Ahmad Rizq al-Sayyid& al-Jaushi, Sharif Fathi. Study on identification of five citrus sinensis cultivars based on similarity diversity in some genetic parameters of their molecular dna profiles using irap-pcr technique. Annals of Agricultural Science, Moshtohor. 2022. Vol. 60, no. 1, pp.157-167.
https://search.emarefa.net/detail/BIM-1390683

Data Type

Journal Articles

Language

English

Notes

-

Record ID

BIM-1390683