@article{fdi:010080003,
  title = {{GWAS} unveils features between early- and late-flowering pearl millets},
  author = {{D}iack, {O}. and {K}anfany, {G}. and {G}ueye, {M}. {C}. and {S}y, {O}. and {F}ofana, {A}. and {T}all, {H}. and {S}erba, {D}. {D}. and {Z}ekraoui, {L}eila and {B}erthouly, {C}{\'e}cile and {V}igouroux, {Y}ves and {D}iouf, {D}. and {K}ane, {N}. {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground{P}earl millet, a nutritious food for around 100 million people in {A}frica and {I}ndia, displays extensive genetic diversity and a high degree of admixture with wild relatives. {T}wo major morphotypes can be distinguished in {S}enegal: early-flowering {S}ouna and late-flowering {S}anio. {P}henotypic variabilities related to flowering time play an important role in the adaptation of pearl millet to climate variability. {A} better understanding of the genetic makeup of these variabilities would make it possible to breed pearl millet to suit regions with different climates. {T}he aim of this study was to characterize the genetic basis of these phenotypic differences.{R}esults{W}e defined a core collection that captures most of the diversity of cultivated pearl millets in {S}enegal and includes 60 early-flowering {S}ouna and 31 late-flowering {S}anio morphotypes. {S}ixteen agro-morphological traits were evaluated in the panel in the 2016 and 2017 rainy seasons. {P}henological and phenotypic traits related with yield, flowering time, and biomass helped differentiate early- and late-flowering morphotypes. {F}urther, using genotyping-by-sequencing ({GBS}), 21,663 single nucleotide polymorphisms ({SNP}s) markers with more than 5% of minor allele frequencies were discovered. {S}parse non-negative matrix factorization (s{NMF}) analysis confirmed the genetic structure in two gene pools associated with differences in flowering time. {T}wo chromosomal regions on linkage groups ({LG} 3) (similar to 89.7{M}b) and ({LG} 6) (similar to 68.1{M}b) differentiated two clusters among the early-flowering {S}ouna. {A} genome-wide association study ({GWAS}) was used to link phenotypic variation to the {SNP}s, and 18 genes were linked to flowering time, plant height, tillering, and biomass ({P}-value < 2.3{E}-06).{C}onclusions{T}he diversity of early- and late-flowering pearl millet morphotypes in {S}enegal was captured using a heuristic approach. {K}ey phenological and phenotypic traits, {SNP}s, and candidate genes underlying flowering time, tillering, biomass yield and plant height of pearl millet were identified. {C}hromosome rearrangements in {LG}3 and {LG}6 were inferred as a source of variation in early-flowering morphotypes. {U}sing candidate genes underlying these features between pearl millet morphotypes will be of paramount importance in breeding for resilience to climatic variability.},
  keywords = {{S}enegal ; {P}earl millet ; {M}orphotypes ; {F}lowering ; {D}iversity ; {GWAS}},
  booktitle = {},
  journal = {{BMC} {G}enomics},
  volume = {21},
  numero = {1},
  pages = {777 [11 ]},
  ISSN = {1471-2164},
  year = {2020},
  URL = {https://www.documentation.ird.fr/hor/fdi:010080003},
}