↓ Skip to main content

Genome sequencing of the staple food crop white Guinea yam enables the development of a molecular marker for sex determination

Overview of attention for article published in BMC Biology, September 2017
Altmetric Badge

Mentioned by

news
10 news outlets
blogs
4 blogs
twitter
86 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
172 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genome sequencing of the staple food crop white Guinea yam enables the development of a molecular marker for sex determination
Published in
BMC Biology, September 2017
DOI 10.1186/s12915-017-0419-x
Pubmed ID
Authors

Muluneh Tamiru, Satoshi Natsume, Hiroki Takagi, Benjamen White, Hiroki Yaegashi, Motoki Shimizu, Kentaro Yoshida, Aiko Uemura, Kaori Oikawa, Akira Abe, Naoya Urasaki, Hideo Matsumura, Pachakkil Babil, Shinsuke Yamanaka, Ryo Matsumoto, Satoru Muranaka, Gezahegn Girma, Antonio Lopez-Montes, Melaku Gedil, Ranjana Bhattacharjee, Michael Abberton, P. Lava Kumar, Ismail Rabbi, Mai Tsujimura, Toru Terachi, Wilfried Haerty, Manuel Corpas, Sophien Kamoun, Günter Kahl, Hiroko Takagi, Robert Asiedu, Ryohei Terauchi

Abstract

Root and tuber crops are a major food source in tropical Africa. Among these crops are several species in the monocotyledonous genus Dioscorea collectively known as yam, a staple tuber crop that contributes enormously to the subsistence and socio-cultural lives of millions of people, principally in West and Central Africa. Yam cultivation is constrained by several factors, and yam can be considered a neglected "orphan" crop that would benefit from crop improvement efforts. However, the lack of genetic and genomic tools has impeded the improvement of this staple crop. To accelerate marker-assisted breeding of yam, we performed genome analysis of white Guinea yam (Dioscorea rotundata) and assembled a 594-Mb genome, 76.4% of which was distributed among 21 linkage groups. In total, we predicted 26,198 genes. Phylogenetic analyses with 2381 conserved genes revealed that Dioscorea is a unique lineage of monocotyledons distinct from the Poales (rice), Arecales (palm), and Zingiberales (banana). The entire Dioscorea genus is characterized by the occurrence of separate male and female plants (dioecy), a feature that has limited efficient yam breeding. To infer the genetics of sex determination, we performed whole-genome resequencing of bulked segregants (quantitative trait locus sequencing [QTL-seq]) in F1 progeny segregating for male and female plants and identified a genomic region associated with female heterogametic (male = ZZ, female = ZW) sex determination. We further delineated the W locus and used it to develop a molecular marker for sex identification of Guinea yam plants at the seedling stage. Guinea yam belongs to a unique and highly differentiated clade of monocotyledons. The genome analyses and sex-linked marker development performed in this study should greatly accelerate marker-assisted breeding of Guinea yam. In addition, our QTL-seq approach can be utilized in genetic studies of other outcrossing crops and organisms with highly heterozygous genomes. Genomic analysis of orphan crops such as yam promotes efforts to improve food security and the sustainability of tropical agriculture.

X Demographics

X Demographics

The data shown below were collected from the profiles of 86 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 172 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 22%
Student > Ph. D. Student 29 17%
Student > Master 23 13%
Student > Bachelor 15 9%
Student > Doctoral Student 9 5%
Other 19 11%
Unknown 40 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 42%
Biochemistry, Genetics and Molecular Biology 31 18%
Social Sciences 4 2%
Environmental Science 2 1%
Computer Science 2 1%
Other 7 4%
Unknown 54 31%