Molecular Biology and EvolutionGenomicsPeer-reviewed journal article
Maroon rice genomic diversity reflects 350 years of colonial history
Marieke S. van de LoosdrechtiD, Nicholaas PinasiD, Evanne DongstraiD, Jerry R. Tjoe AwieiD, Frank F. M. BeckeriD, Harro MaatiD, Robin van VelzeniD, Tinde van AndeliD, M. Eric SchranziD
Abstract
Maroons in Suriname and French Guiana descend from enslaved Africans who escaped the plantations during colonial times. Maroon farmers still cultivate a large rice diversity, their oldest staple crop. Maroon oral history and written records by colonial authorities provide contrasting perspectives on the origins of Maroon rice. Here, we integrated genomic ancestry analyses of 136 newly sequenced Maroon rice varieties with ethnobotanical and archival research to reconstruct the historical contexts associated with the introduction of rice varieties to the Guianas. We found that a large subset traces to West Africa, linked to the transatlantic slave trade (c.1530-1825). Maroons obtained other varieties from indentured laborers from Java (1890 onwards), USA rice breeders (1932 onwards), and Hmong refugees from the Vietnam War (1991). Furthermore, we found rice types never documented before, indicating Maroon farmers selected from crosses. Overall, our results demonstrate that the Maroon farming system prioritizes maintenance of a high stock diversity, which we posit reflects the expertise they inherited from their (African) ancestors. Ignored by agricultural modernization initiatives, Maroon farmers today are important custodians of a unique cultural heritage. Moreover, the genomic findings underline many Maroon stories about their past. This study hence demonstrates the power of cross-disciplinary crop research to reconstruct aspects of the human past for which historical records may be biased or incomplete. We anticipate that a similar study approach can be applied to other heirloom crops of (Indigenous) communities that may have preserved their history on their farms to reconstruct, acknowledge and honor the past.
- assay: DNA methylation
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 6
- FWCI
- 1.59
- Field percentile
- top 17%
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