Genome Classification of Banana Cultivars Found in Manipur, India using IRAP and RAPD

Singh, Shivom; Singh, Wahengbam R. C.; Sagolshemcha, Romesh; Shrivastava, Karuna

doi:10.18805/ijare.a-5347

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…Although there is an availability of A and B genome speci c molecular markers in the database, their reliability is questionable and thus may not provide enough information on genome composition. In other words, despite their abilities to determine the genome composition, these markers does not provide much details on the independent proportions of A and B genomes (Mabonga and Pillay 2017; Singh et al 2020). In recent years, the advancement of next generation sequencing has provided an opportunity to decipher the genome architecture in a costeffective manner.…”

Section: Discussionmentioning

confidence: 99%

Morphological index and flow cytometry as tools for discriminating Musa L. germplasms from Northeast India for estimation of ploidy and genome composition

Banerjee

Tamang

Das

et al. 2023

Preprint

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Genome characterization is an essential aspect for understanding the origin and physiological adaptation of any species. The size of the genome, its constitution, and ploidy level provide the valuable information on the taxonomic relationship, which is further utilized in genetic crop improvement program concentrating on traits of interest. Musa sp., also known as the banana/plantain, is a fruit and vegetable that is grown all over the world. Because of the inter- and intra-specific hybridization with their wild diploids, the majority of banana cultivars are triploid and seedless in nature. Today's banana cultivars have different genome sizes and ploidies as a consequence, which contributes to their unique shape and climate adaptation. However, limited information is available on the genomic resources of wild and cultivated bananas commonly found in the northeastern region of India. In this study, we performed the morphological characterization, genome size estimation, and ploidy analysis of 16 Musa germplasm collected from northeast India. Morphological characterization and flow cytometry-based (FCM) 2C DNA content revealed significant variation in the ploidy level among the collected Musa germplasms. Further, the present result revealed that the morphological scoring based on ploidy and genome composition was not always consistent with the flowcytometry DNA content data. The neighbor-joining (NJ) tree based on morphology scoring of Musa sp. var. fushrey jhapari (NBRI-0020) clustered into the diploid group (Group II), however, it was not a diploid, which confirmed in flow cytometry data-based NJ tree (Group I). It is further revealed that the Musa sp. var. fishery jhapari (NBRI-0020) had a total morphological score of 54, which did not fall under any genome composition category, however, it showed relatively closer to diploid group in the morphology-based NJ Tree. In the contrary, Musa balbisiana var. jungli kol (NBRI-0027) and Musa sp. var. jungli kol (NBRI-0028) were found to be diploid in flow cytometry data, while those on morphology scoring were categorized as triploid, thereby flow cytometric data must be supplemented with morphology-based data for an accurate genome composition categorization. Our findings in this present study provides valuable insight into the composition of wild and cultivated Musa genome. In most of the cases (~ 68.75%; 11 out of 16) of Northeast India Musa genotypes, the morphology scoring-based genome composition did not match with FCM-based genome composition, indicating the morphology-based genome composition of Musa genotypes from North-East India is not straightforward and accurate. This present data on Musa genotypes of Northeast India will supplement the morphological traits-driven breeding program for banana genetic improvement. Furthermore, our findings shed light on the genome evolution of bananas in north-east India which is still remained unexplored because of its complex evolutionary processes.

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Section: Discussionmentioning

confidence: 99%

Morphological index and flow cytometry as tools for discriminating Musa L. germplasms from Northeast India for estimation of ploidy and genome composition

Banerjee

Tamang

Das

et al. 2023

Preprint

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“…Musa aurantiaca Baker (Musaceae) is commonly found growing in northeast India, Tibet and Northern Myanmar. Several studies of the Musaceae in India have recently been carried out by (Cheesman 1947;Simmonds, 1960;Hore et al, 1992, Singh et al, 2001Häkkinen and Sharrock, 2002;Uma 2006, Uma et al, 2005, 2006Gogoi, 2013;Gogoi and Rabha, 2013;Gogoi and Borah, 2013;Gogoi and Häkkinen, 2013a, b;Häkkinen et al, 2014;Joe et al, 2014;Kothareddy et al, 2013;Sabu et al, 2013;. However, none of these studies specifically highlight the extensive diversity of Musa aurantiaca in Nagaland.…”

Section: S433mentioning

confidence: 99%

Musa aurantiaca and its genetic diversity in Nagaland

Singh,

Lian,

Bendangsenla

et al. 2023

EEC

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This study focuses on Musa aurantiaca Baker (Musaceae), a Musa species found in Northeast India, Tibet, and Northern Myanmar. The research was conducted at the School of Agricultural Sciences (SAS), Nagaland University, to examine the morphology of the species and explore its genetic diversity in Nagaland. Through a comprehensive analysis, this study sheds light on the diverse attributes of Musa aurantiaca, providing valuable insights into its morphology and genetic composition in the Nagaland region. The findings contribute to the knowledge and conservation efforts of this species, highlighting its importance for biodiversity conservation and potential utilization in various applications. These findings have implications for further research, conservation strategies, and the sustainable utilization of this valuable plant species.

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“…Banana is a climacteric flora that varies widely due to numerous cultivars developed in Indonesia. According to Singh et al (2014), banana ranks first in production and trade volume of fresh fruit worldwide and the fourth food source after rice, wheat, and corn. The total banana production globally reached 119.8 million tons in 2020 (FAOSTAT, 2022).…”

Section: Introductionmentioning

confidence: 99%

Genetic Variation of Fei Banana (Musa Troglodytarum L.) in Maluku Islands Using Rapd Markers

DARYONO

2024

SABRAOJBG

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Fei banana (Musa troglodytarum L.) is the only species found in the Maluku and Papua islands of East Indonesia. Distribution in Maluku is throughout Ambon, Haruku, Saparua, Nusalaut, and Seram islands. This banana is unique because it has an erect bunch, is classified as a cooking banana, and serves as a medicine. Genetic variation determination is the chief parameter for the conservation of genetic resources of Fei banana and its utilization in hybridization programs. However, there exists limited available genetic data on Fei banana in Maluku. Therefore, the study is crucial for gathering such information to help its improvement in the future. This research purposed to analyze the genetic variation of Fei bananas using RAPD markers. The RAPD profiles for eight different populations, generated with 12 random primers, revealed various levels of polymorphism. The results showed these primers generated 128 DNA fragments, where 16 were polymorphic, averaging 90-900 pb. The overall range of similarity among eight banana populations was narrow, ranging from 8.385 to 9.692, indicating a low genetic variation among Fei banana populations under study.

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Genome Classification of Banana Cultivars Found in Manipur, India using IRAP and RAPD

Cited by 3 publications

References 8 publications

Morphological index and flow cytometry as tools for discriminating Musa L. germplasms from Northeast India for estimation of ploidy and genome composition

Morphological index and flow cytometry as tools for discriminating Musa L. germplasms from Northeast India for estimation of ploidy and genome composition

Musa aurantiaca and its genetic diversity in Nagaland

Genetic Variation of Fei Banana (Musa Troglodytarum L.) in Maluku Islands Using Rapd Markers

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