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Traces of Introgression from cAus into Tropical Japonica Observed in African Upland Rice Varieties

Overview of attention for article published in Rice, February 2023
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Title
Traces of Introgression from cAus into Tropical Japonica Observed in African Upland Rice Varieties
Published in
Rice, February 2023
DOI 10.1186/s12284-023-00625-4
Pubmed ID
Authors

Abdoulaye Beye, Claire Billot, Joëlle Ronfort, Kenneth L. McNally, Diaga Diouf, Jean Christophe Glaszmann

Abstract

Asian rice Oryza sativa, first domesticated in East Asia, has considerable success in African fields. When and where this introduction occurred is unclear. Rice varieties of Asian origin may have evolved locally during and after migration to Africa, resulting in unique adaptations, particularly in relation to upland cultivation as frequently practiced in Africa. We investigated the genetic differentiation between Asian and African varieties using the 3000 Rice Genomes SNP dataset. African upland cultivars were first characterized using principal component analysis among 292 tropical Japonica accessions from Africa and Asia. The particularities of African accessions were then explored using two inference techniques, PCA-KDE for supervised classification and chromosome painting, and ELAI for individual allelic dosage monitoring. Ambiguities of local differentiation between Japonica and other groups pointed at genomic segments that potentially resulted from genetic exchange. Those specific to West African upland accessions were concentrated on chromosome 6 and featured several cAus introgression signals, including a large one between 17.9 and 21.7 Mb. We found iHS statistics in support of positive selection in this region and we provide a list of candidate genes enriched in GO terms that have regulatory functions involved in stress responses that could have facilitated adaptation to harsh upland growing conditions.

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Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 10%
Student > Ph. D. Student 1 10%
Lecturer 1 10%
Unknown 7 70%
Readers by discipline Count As %
Unspecified 1 10%
Agricultural and Biological Sciences 1 10%
Unknown 8 80%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 February 2023.
All research outputs
#18,925,846
of 23,454,152 outputs
Outputs from Rice
#256
of 394 outputs
Outputs of similar age
#220,805
of 328,763 outputs
Outputs of similar age from Rice
#5
of 6 outputs
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