Yann Fichou1,2, Isabelle Berlivet1, Gaëlle Richard1, Christophe Tournamille2,3, Lilian Castilho4, Claude Férec1,5. 1. EFS, Inserm, Univ Brest, UMR 1078, GGB, Brest, France. 2. Laboratoire d'Excellence GR-Ex, Paris, France. 3. IMRB-Inserm U955 Equipe 2 Transfusion et Maladies du Globule Rouge, EFS Ile-de-France, Créteil, France. 4. Hemocentro Campinas-Unicamp, Campinas, Brazil. 5. Laboratoire de Génétique Moléculaire et d'Histocompatibilité, CHU Morvan, Brest, France.
Abstract
BACKGROUND: In the novel era of blood group genomics, (re-)defining reference gene/allele sequences of blood group genes has become an important goal to achieve, both for diagnostic and research purposes. As novel potent sequencing technologies are available, we thought to investigate the variability encountered in the three most common alleles of ACKR1, the gene encoding the clinically relevant Duffy antigens, at the haplotype level by a long-read sequencing approach. MATERIALS AND METHODS: After long-range PCR amplification spanning the whole ACKR1 gene locus (∼2.5 kilobases), amplicons generated from 81 samples with known genotypes were sequenced in a single read by using the Pacific Biosciences (PacBio) single molecule, real-time (SMRT) sequencing technology. RESULTS: High-quality sequencing reads were obtained for the 162 alleles (accuracy >0.999). Twenty-two nucleotide variations reported in databases were identified, defining 19 haplotypes: four, eight, and seven haplotypes in 46 ACKR1*01, 63 ACKR1*02, and 53 ACKR1*02N.01 alleles, respectively. DISCUSSION: Overall, we have defined a subset of reference alleles by third-generation (long-read) sequencing. This technology, which provides a "longitudinal" overview of the loci of interest (several thousand base pairs) and is complementary to the second-generation (short-read) next-generation sequencing technology, is of critical interest for resolving novel, rare, and null alleles.
BACKGROUND: In the novel era of blood group genomics, (re-)defining reference gene/allele sequences of blood group genes has become an important goal to achieve, both for diagnostic and research purposes. As novel potent sequencing technologies are available, we thought to investigate the variability encountered in the three most common alleles of ACKR1, the gene encoding the clinically relevant Duffy antigens, at the haplotype level by a long-read sequencing approach. MATERIALS AND METHODS: After long-range PCR amplification spanning the whole ACKR1 gene locus (∼2.5 kilobases), amplicons generated from 81 samples with known genotypes were sequenced in a single read by using the Pacific Biosciences (PacBio) single molecule, real-time (SMRT) sequencing technology. RESULTS: High-quality sequencing reads were obtained for the 162 alleles (accuracy >0.999). Twenty-two nucleotide variations reported in databases were identified, defining 19 haplotypes: four, eight, and seven haplotypes in 46 ACKR1*01, 63 ACKR1*02, and 53 ACKR1*02N.01 alleles, respectively. DISCUSSION: Overall, we have defined a subset of reference alleles by third-generation (long-read) sequencing. This technology, which provides a "longitudinal" overview of the loci of interest (several thousand base pairs) and is complementary to the second-generation (short-read) next-generation sequencing technology, is of critical interest for resolving novel, rare, and null alleles.
Authors: F Malentacchi; C M Ciniselli; M Pazzagli; P Verderio; L Barraud; C C Hartmann; S Pizzamiglio; S Weisbuch; R Wyrich; S Gelmini Journal: Clin Chim Acta Date: 2014-12-06 Impact factor: 3.786
Authors: William J Lane; Maria Aguad; Robin Smeland-Wagman; Sunitha Vege; Helen H Mah; Abigail Joseph; Carrie L Blout; Tiffany T Nguyen; Matthew S Lebo; Manpreet Sidhu; Christine Lomas-Francis; Richard M Kaufman; Robert C Green; Connie M Westhoff Journal: Transfusion Date: 2018-12-28 Impact factor: 3.157
Authors: Mattias Möller; Yan Quan Lee; Karina Vidovic; Sven Kjellström; Linda Björkman; Jill R Storry; Martin L Olsson Journal: Blood Date: 2018-05-10 Impact factor: 22.113
Authors: Ana Cvejic; Lonneke Haer-Wigman; Jonathan C Stephens; Pim van der Harst; C Ellen van der Schoot; Willem H Ouwehand; Cornelis A Albers; Myrto Kostadima; Peter A Smethurst; Mattia Frontini; Emile van den Akker; Paul Bertone; Ewa Bielczyk-Maczyńska; Samantha Farrow; Rudolf Sn Fehrmann; Alan Gray; Masja de Haas; Vincent G Haver; Gregory Jordan; Juha Karjalainen; Hindrik Hd Kerstens; Graham Kiddle; Heather Lloyd-Jones; Malcolm Needs; Joyce Poole; Aicha Ait Soussan; Augusto Rendon; Klaus Rieneck; Jennifer G Sambrook; Hein Schepers; Herman H W Silljé; Botond Sipos; Dorine Swinkels; Asif U Tamuri; Niek Verweij; Nicholas A Watkins; Harm-Jan Westra; Derek Stemple; Lude Franke; Nicole Soranzo; Hendrik G Stunnenberg; Nick Goldman Journal: Nat Genet Date: 2013-04-07 Impact factor: 38.330
Authors: Kshitij Srivastava; Pavel P Khil; Emilia Sippert; Evgeniya Volkova; John P Dekker; Maria Rios; Willy A Flegel Journal: J Mol Diagn Date: 2020-07-17 Impact factor: 5.568