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Study sheds light on genetic signatures of chickpea's cultural crossroads

Researchers found human migration and trade have had a significant impact on the genetic heritage of chickpeas. The study was published in the journal, 'Molecular Biology and Evolution.'

ANI Jun 23, 2023 22:19 IST googleads

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Washington [US], June 23 (ANI): Researchers found human migration and trade have had a significant impact on the genetic heritage of chickpeas.
The study was published in the journal, 'Molecular Biology and Evolution.'
Anna Igolkina of Peter the Great St. Petersburg Polytechnic University, Eric von Wettberg of the University of Vermont, and Sergey Nuzhdin of the University of Southern California led the study, which used genetic data from over 400 chickpea specimens collected in the 1920s and 1930s. Despite the lack of a clear geographic or genetic boundary between the two, the collection included both the desi and kabuli subtypes, which differ in colour and size. Chickpea samples were collected from nine different geographical regions: the northern and southern Mediterranean, Turkey, Lebanon, Ethiopia, the Black Sea, western and eastern Uzbekistan, and India. The researchers used two new models to analyse the data: popdisp (population dispersals) and migadmi (migrations and admixtures).
The authors used the popdisp model to understand how chickpeas dispersed within each of the geographic regions. They compared two scenarios, one in which chickpeas spread along routes that were easier for humans to traverse (i.e. possible historic trade routes), and one in which chickpeas dispersed over distances in a simple linear fashion, regardless of intervening geographic barriers. According to Igolkina, "Our study reveals an intriguing finding regarding the genetic relatedness among chickpea landraces in different geographic regions. Contrary to the assumption that genetic similarity would be determined by linear distance, our results suggest that it is more influenced by human movement costs. This implies that the spread of chickpea within each region occurred predominantly along trade routes, rather than through simple diffusion."
Using the migadmi model, the scientists sought to uncover the origin of the Ethiopian desi population. "Ethiopian chickpeas have a unique flavour," says von Wettberg, "with the tartness of the black desi chickpeas that can be found in Indian varieties, but also a hint of sweetness." Previous studies have suggested two possible origins for Ethiopian chickpeas--either an Indian origin supported by morphological similarities, or a Middle Eastern origin given the evidence of human migration from western Eurasia into East Africa around 4,500 years ago. Interestingly, the results revealed that both scenarios may be true, finding that Ethiopian chickpeas share ancestry from Indian, Lebanese, and Black Sea source populations. von Wettberg notes "For me, the most exciting finding is that Ethiopian chickpeas are a mixture of Middle Eastern and South Asian ancestry. The cultural connection of Ethiopians to the Middle East is widely known, exemplified by their Semitic heritage. Less well known is the extent and importance of Indian Ocean trade routes, which were both an important maritime route of the Silk Road and a way by which agricultural and cultural exchange happened between South Asia and East Africa."
The migadmi model also revealed the possible origin of the kabuli type from a local desi chickpea population in Turkey. This disputes the linguistic suggestion that the kabuli type arose in Central Asia and is named after Kabul City (in modern Afghanistan).
While these results provide a fascinating look into the chickpea's natural history and its interconnectedness with human trade routes and migrations, the implications of this study extend far beyond chickpeas alone. "The importance of this work lies not only in extending our knowledge of chickpea history but also in developing the two new models, popdisp and migadmi," notes Igolkina. "These models can be applied together or separately to analyze migrations and admixtures in other species. The core modelling technique used in these models, compositional data analysis, allows their extension to model multiallelic genetic markers. This is of particular interest when analyzing structural variants, analyses of which are becoming increasingly common." von Wettberg concurs: "A central part of our work is developing new tools for examining complex migration patterns. We hope others will use these tools to investigate similar migration patterns in human-associated species like crops, pests, and mutualists, or in natural species." (ANI)

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