Analysis of genetic diversity and agronomic variation in banana sub-populations for genomic selection under drought stress in southern Benin

Nkoulou, Luther Fort Mbo; Ninla, Lauriane Archange Tchinda; Cros, David; Martin, Guillaume; Zenabou, Ndiang; Houegban, Jordan; Ngalle, Hermine Bille; Bell, Joseph Martin; Achigan‐Dako, Enoch G.

doi:10.1016/j.gene.2023.147210

Cited by 5 publications

(3 citation statements)

References 58 publications

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“…The only study that showed within-group variation in the AAA Cavendish bananas was reported by Ermini et al (2018) [34]. On the contrary, as expected, greater genetic diversity has been described for studies that used a mixed group of species or subgroups of bananas [6,10,29,[35][36][37][38][39][40][41].…”

Section: Resultsmentioning

confidence: 87%

The Genetic Homogeneity of Uganda’s East African Highland Bananas (Mutika/Lujugira) Does Not Match the Extensive Morphological Variation Identified in this Subgroup

Pillay

2024

IJPB

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The East African Highland banana (Mutika/Lujugira subgroup) is composed of triploid (AAA) cooking and beer banana varieties that are adapted to the high-altitude region of the Great Lakes region of East Africa. Banana production is affected by several biotic and abiotic factors. Breeding opportunities in bananas are limited due to female sterility and parthenocarpy. The genetic diversity of crops enables breeders to develop new germplasm. Molecular markers have been used widely to dissect crop plants’ genetic diversity. This study assessed the genetic variation in 27 varieties from the Mutika/Lujugira subgroup using random amplified polymorphic DNA (RAPD). No genetic variation was observed among the banana varieties, and the 18 ten-mer primers produced monomorphic banding profiles. The genetic homogeneity of this banana subgroup is not congruent with their extensive morphological variation. Domestication and the bottleneck effect are often cited as the cause of reduced diversity in crop plants. On the other hand, several mechanisms, including somatic mutations, transposable elements, polyploidy, genome plasticity, and epigenetic mechanisms, are known to increase plant phenotypic variability. Further in-depth research is needed to explain the puzzle between the genetic and morphological diversity in the Mutika/Lujugira subgroup.

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Section: Resultsmentioning

confidence: 87%

The Genetic Homogeneity of Uganda’s East African Highland Bananas (Mutika/Lujugira) Does Not Match the Extensive Morphological Variation Identified in this Subgroup

Pillay

2024

IJPB

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“…The bananas of the AAA group, mainly the Cavendish type, are the most cultivated and produce about 50 billion metric tonnes, accounting for roughly 47 percent of global production (FAO 2022). (Nkoulou et al, 2023). The volume of production and trade of all other local bananas (AAB and ABB groups) is greater than that of Cavendish bananas.…”

Section: Introductionmentioning

confidence: 99%

Annual Carbon Capture Potential in Banana Gardens of India

Ganeshamurthy

2023

BIOTROPIA

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The global interest in increasing the world's carbon stocks is skewed towards perennial woody ecosystems. But a continuous shortage of land stands in the way of achieving the goal. We must therefore aim to explore viable alternatives. The banana as a potential carbon sequester attracted little attention from researchers. Therefore, this study aimed at estimating the potential of bananas in different states of India as potential carbon sequesters. Data was collected from twelve major banana producers between January 2021 and December 2022. One hundred banana gardens were sampled in each of the 12 banana-producing states, covering the major bananas grown (AAA, AAB, and ABB). The above-ground (AGB) and below-ground (BGB) biomass were calculated using the allometric equation with pseudostem volume as the allometric parameter. The dry weight obtained from the allometric equations was then converted to carbon using a dry weight to carbon conversion factor. Sequestered carbon varied with the AAA, AAB, and ABB of bananas. Banana plant carbon stock was also found to be very small, ranging from 2.573 to 6.407 t/ha, compared with very high soil carbon ranging from 39.55 to 77.14t. In all the banana-cultivating states, the proportion of carbon contained in the plant to that in the soil was only 8.286 percent, and that of soil carbon accounted for 91.714%. At the national level, the banana crop sequestered 48.627 million metric tonnes of carbon, with soil carbon accounting for 44.798 metric tonnes and plant carbon accounting for only 3.828 metric tonnes per year. Despite these small amounts of plant carbon, the banana cropping system enriches the soil by enabling much more carbon to be sequestered into the soil in amounts comparable to other perennial plantations.

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“…However, developing effective breeding programs requires knowledge of the genetic diversity of cultivars [16,17]. Previous work undertaken on the genetic diversity of dessert bananas and plantains in Benin using SNP markers revealed high molecular variability depending on their genomic membership [18]. The analysis of genetic diversity within dessert banana, M. acuminata cv.…”

Section: Introductionmentioning

confidence: 99%

Narrow genetic diversity in germplasm from the Guinean and Sudano-Guinean zones in Benin indicates the need to broaden the genetic base of sweet fig banana (Musa acuminata cv Sotoumon)

Capo-Chichi,

Tchokponhoué,

Sogbohossou

et al. 2023

PLoS ONE

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Sweet fig (M. acuminata cv. Sotoumon) is an economically important dessert banana in Benin, with high nutritional, medicinal, and cultural values. Nevertheless, its productivity and yield are threatened by biotic and abiotic stresses. Relevant knowledge of the genetic diversity of this economically important crop is essential for germplasm conservation and the development of breeding programs. However, very little is known about the genetic makeup of this cultivar in Benin. To advance the understanding of genetic diversity in sweet fig banana germplasm, a Genotype-By-Sequencing (GBS) was performed on a panel of 273 accessions collected in different phytogeographical zones of Benin. GBS generated 8,457 quality SNPs, of which 1992 were used for analysis after filtering. The results revealed a low diversity in the studied germplasm (He = 0.0162). Genetic differentiation was overall very low in the collection as suggested by the negative differentiation index (Fstg = -0.003). The Analysis of Molecular Variance (AMOVA) indicated that the variation between accessions within populations accounted for 83.8% of the total variation observed (P < 0.001). The analysis of population structure and neighbor-joining tree partitioned the germplasm into three clusters out of which a predominant major one contained 98.1% of all accessions. These findings demonstrate that current sweet fig banana genotypes shared a common genetic background, which made them vulnerable to biotic and abiotic stress. Therefore, broadening the genetic base of the crop while maintaining its quality attributes and improving yield performance is of paramount importance. Moreover, the large genetic group constitutes an asset for future genomic selection studies in the crop and can guide the profiling of its conservation strategies.

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Analysis of genetic diversity and agronomic variation in banana sub-populations for genomic selection under drought stress in southern Benin

Cited by 5 publications

References 58 publications

The Genetic Homogeneity of Uganda’s East African Highland Bananas (Mutika/Lujugira) Does Not Match the Extensive Morphological Variation Identified in this Subgroup

The Genetic Homogeneity of Uganda’s East African Highland Bananas (Mutika/Lujugira) Does Not Match the Extensive Morphological Variation Identified in this Subgroup

Annual Carbon Capture Potential in Banana Gardens of India

Narrow genetic diversity in germplasm from the Guinean and Sudano-Guinean zones in Benin indicates the need to broaden the genetic base of sweet fig banana (Musa acuminata cv Sotoumon)

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