Water buffalo is the second largest resource of milk supply around the world, and it is well known for its distinctive milk quality in terms of fat, protein, lactose, vitamin, and mineral contents. Understanding the genetic architecture of milk production traits is important for future improvement by the buffalo breeding industry. The advance of genome-wide association studies (GWAS) provides an opportunity to identify potential genetic variants affecting important economical traits. In the present study, GWAS was performed for 489 buffaloes with 1,424 lactation records using the 90K Affymetrix Buffalo SNP Array (Affymetrix/Thermo Fisher Scientific, Santa Clara, CA). Collectively, 4 candidate single nucleotide polymorphisms (SNP) in 2 genomic regions were found to associate with buffalo milk production traits. One region affecting milk fat and protein percentage was located on the equivalent of Bos taurus autosome (BTA)3, spanning 43.3 to 43.8 Mb, which harbored the most likely candidate genes MFSD14A, SLC35A3, and PALMD. The other region on the equivalent of BTA14 at 66.5 to 67.0 Mb contained candidate genes RGS22 and VPS13B and influenced buffalo total milk yield, fat yield, and protein yield. Interestingly, both of the regions were reported to have quantitative trait loci affecting milk performance in dairy cattle. Furthermore, we suggest that buffaloes with the C allele at AX-85148558 and AX-85073877 loci and the G allele at AX-85106096 locus can be selected to improve milk fat yield in this buffalo-breeding program. Meanwhile, the G allele at AX-85063131 locus can be used as the favorable allele for improving milk protein percentage. Genomic prediction showed that the reliability of genomic estimated breeding values (GEBV) of 6 milk production traits ranged from 0.06 to 0.22, and the correlation between estimated breeding values and GEBV ranged from 0.23 to 0.35. These findings provide useful information to understand the genetic basis of buffalo milk properties and may play a role in accelerating buffalo breeding programs using genomic approaches.

Aim:  To identify metabolites of α‐ketoglutarate (α‐KG) in Lactobacillus sanfranciscensis and Lactobacillus reuteri in modified MRS and sourdough. Methods and Results:  Lactobacillus sanfranciscensis and L. reuteri were grown with additional α‐KG in mMRS and in wheat sourdough. In mMRS, α‐KG was used as an electron acceptor and converted to 2‐hydroxyglutarate (2‐OHG) by both organisms. Production of 2‐OHG was identified by high performance liquid chromatography (HPLC) and confirmed by gas chromatography (GC). Crude cell extracts of L. sanfranciscensis and L. reuteri grown with or without α‐KG exhibited OHG dehydrogenase activity of 6·3 ± 0·3, 2·3 ± 0·9, 1·2 ± 0·2, and 1·1 ± 0·1 mmol l−1 NADH (min x mg protein)−1, respectively. The presence of phenylalanine and citrate in addition to α‐KG partially redirected the use of α‐KG from electron acceptor to amino group acceptor. In wheat sourdoughs, α‐KG was predominantly used as electron acceptor and converted to 2‐OHG. Conclusions:  Lactobacillus sanfranciscensis and L. reuteri utilize α‐KG as electron acceptor. Alternative use of α‐KG as amino group acceptor occurs in the presence of abundant amino donors and citrate. Significance and Impact of the Study:  The use of α‐KG as electron acceptor in heterofermentative lactobacilli impacts the formation of flavour volatiles through the transamination pathway.

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