Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

Genetic Diversity within a Global Panel of Durum Wheat (Triticum durum) Landraces and Modern Germplasm Reveals the History of Alleles Exchange.

Hafssa Kabbaj | Amadou T Sall | Ayed Al-Abdallat | Mulatu Geleta | Ahmed Amri | Abdelkarim Filali-Maltouf | Bouchra Belkadi | Rodomiro Ortiz | Filippo M Bassi
Frontiers in plant science | 2017

Durum wheat is the 10th most important crop in the world, and its use traces back to the origin of agriculture. Unfortunately, in the last century only part of the genetic diversity available for this species has been captured in modern varieties through breeding. Here, the population structure and genetic diversity shared among elites and landraces collected from 32 countries was investigated. A total of 370 entries were genotyped with Axiom 35K array to identify 8,173 segregating single nucleotide polymorphisms (SNPs). Of these, 500 were selected as highly informative with a PIC value above 0.32 and used to test population structure via DAPC, STRUCTURE, and neighbor joining tree. A total of 10 sub-populations could be identified, six constituted by modern germplasm and four by landraces of different geographical origin. Interestingly, genomic comparison among groups indicated that Middle East and Ethiopia had the lowest level of allelic diversity, while breeding programs and landraces collected outside these regions were the richest in rare alleles. Further, phylogenetic analysis among landraces indicated that Ethiopia might represent a second center of origin of durum wheat, rather than a second domestication site as previously believed. Together, the analyses carried here provide a global picture of the available genetic diversity for this crop and shall guide its targeted use by breeders.

Pubmed ID: 28769970

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

None

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


CARTHAGENE (tool)

RRID:SCR_009013

A genetic/radiation hybrid mapping software that looks for multiple populations maximum likelihood consensus maps using a fast EM algorithm for maximum likelihood estimation and powerful ordering algorithms inspired from TSP (Traveling Salesman Problem) technology. It can handle large data sets made up of different populations (either F2 backcross, recombinant inbred lines, F2 intercross, phase known outbreds, haploid/diploid radiation hybrids). It can also exploit existing syntenic relationships between the organism mapped and a reference (sequenced) organism for accurate dense RH mapping. (entry from Genetic Analysis Software)

View all literature mentions

Affymetrix (tool)

RRID:SCR_007817

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 17,2023. Affymetrix is a partially commercial resource that provides DNA Analysis Arrays, Expression Analysis Arrays, Gene Regulation Analysis, and Microarrays. It also provides reagents and assays, instruments, software, and services for a fee. Information is provided for Rats, Humans, and Mice.Affymetrix is now Applied Biosystems, brand of DNA microarray products sold by Thermo Fisher Scientific that originated with an American biotechnology research and development and manufacturing company of the same name.

View all literature mentions

ARLEQUIN (tool)

RRID:SCR_009051

An exploratory population genetics software environment able to handle large samples of molecular data (RFLPs, DNA sequences, microsatellites), while retaining the capacity of analyzing conventional genetic data (standard multi-locus data or mere allele frequency data). (entry from Genetic Analysis Software)

View all literature mentions