RNA Interference for Functional Genomics and Improvement of Cotton (Gossypium Sp.)

Overview

Journal Front Plant Sci

Date 2016 Mar 5

PMID 26941765

Citations 11

Authors

Ibrokhim Y Abdurakhmonov

Mirzakamol S Ayubov

Khurshida A Ubaydullaeva

Zabardast T Buriev

Shukhrat E Shermatov

Haydarali S Ruziboev

Umid M Shapulatov

Sukumar Saha

Mauricio Ulloa

John Z Yu

Richard G Percy

Eric J Devor

Govind C Sharma

Venkateswara R Sripathi

Siva P Kumpatla

Alexander van der Krol

Hake D Kater

Khakimdjan Khamidov

Shavkat I Salikhov

Johnie N Jenkins

Abdusattor Abdukarimov

Alan E Pepper

Affiliations

Soon will be listed here.

Abstract

RNA interference (RNAi), is a powerful new technology in the discovery of genetic sequence functions, and has become a valuable tool for functional genomics of cotton (Gossypium sp.). The rapid adoption of RNAi has replaced previous antisense technology. RNAi has aided in the discovery of function and biological roles of many key cotton genes involved in fiber development, fertility and somatic embryogenesis, resistance to important biotic and abiotic stresses, and oil and seed quality improvements as well as the key agronomic traits including yield and maturity. Here, we have comparatively reviewed seminal research efforts in previously used antisense approaches and currently applied breakthrough RNAi studies in cotton, analyzing developed RNAi methodologies, achievements, limitations, and future needs in functional characterizations of cotton genes. We also highlighted needed efforts in the development of RNAi-based cotton cultivars, and their safety and risk assessment, small and large-scale field trials, and commercialization.

Citing Articles

The 4Fs of cotton: genome editing of cotton for fiber, food, feed, and fuel to achieve zero hunger.

Saleem M, Khan S, Ahmad A, Rana I, Naveed Z, Khan A Front Genome Ed. 2024; 6:1401088.

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Omics-driven exploration and mining of key functional genes for the improvement of food and fiber crops.

Naqvi R, Mahmood M, Mansoor S, Amin I, Asif M Front Plant Sci. 2024; 14:1273859.

PMID: 38259913 PMC: 10800452. DOI: 10.3389/fpls.2023.1273859.

Genome Editing and Improvement of Abiotic Stress Tolerance in Crop Plants.

Yadav R, Tripathi M, Tiwari S, Tripathi N, Asati R, Chauhan S Life (Basel). 2023; 13(7).

PMID: 37511831 PMC: 10381907. DOI: 10.3390/life13071456.

Genetic manipulation of anti-nutritional factors in major crops for a sustainable diet in future.

Duraiswamy A, Sneha A N, Jebakani K S, Selvaraj S, Pramitha J L, Selvaraj R Front Plant Sci. 2023; 13:1070398.

PMID: 36874916 PMC: 9976781. DOI: 10.3389/fpls.2022.1070398.

Data mining of transcriptional biomarkers at different cotton fiber developmental stages.

Prasad P, Khatoon U, Verma R, Sawant S, Bag S Funct Integr Genomics. 2022; 22(5):989-1002.

PMID: 35788822 DOI: 10.1007/s10142-022-00878-0.

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